35 datasets found
  1. J

    Java Develop Service Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 4, 2025
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    Market Research Forecast (2025). Java Develop Service Report [Dataset]. https://www.marketresearchforecast.com/reports/java-develop-service-27255
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Mar 4, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Java Development Services market, valued at $7,700.7 million in 2025, exhibits robust growth potential. Driven by the enduring popularity of Java, its versatility across platforms (web, mobile, enterprise applications), and the increasing demand for robust, scalable applications, the market is poised for significant expansion. The strong presence of established players like Mercury Development and Aglowid IT Solutions, alongside numerous smaller specialized firms, indicates a competitive yet dynamic landscape. The market segmentation reveals a balanced distribution between online and offline service provision, with enterprise applications driving a substantial portion of the demand. Growth is further fueled by the ongoing digital transformation across various industries, fostering a constant need for Java-based solutions for data processing, web applications, and enterprise resource planning (ERP) systems. The geographical spread reveals strong demand across North America and Europe, reflecting the high concentration of technology companies and digital adoption rates in these regions. However, growth opportunities exist in emerging markets within Asia Pacific and the Middle East & Africa, driven by increasing technological investments and digital infrastructure development. A conservative estimate for the Compound Annual Growth Rate (CAGR) over the forecast period (2025-2033) would be around 8%, reflecting a mature but still evolving market. This growth will likely be tempered by factors such as the rising adoption of alternative programming languages and the increasing competition from other technology service providers. While precise CAGR is unavailable, considering market maturity and the projected increase in demand across various sectors, a moderate to high CAGR is likely. The substantial market size and the presence of multiple established companies suggest a stable market with potential for further consolidation. The segment breakdown (online/offline, individual/enterprise) is crucial for understanding client preferences and adapting service strategies. Future growth will hinge on innovation within Java-based technologies, the adoption of cloud-based Java development, and the emergence of specialized niche services catering to emerging industry requirements. The ongoing focus on cybersecurity and data privacy will also strongly influence market dynamics, necessitating solutions that prioritize secure and compliant Java development practices.

  2. m

    Dataset for East Java Analysis

    • data.mendeley.com
    Updated Mar 27, 2025
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    Rayson Virtuosi (2025). Dataset for East Java Analysis [Dataset]. http://doi.org/10.17632/yyckd5nkmw.1
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    Dataset updated
    Mar 27, 2025
    Authors
    Rayson Virtuosi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    East Java, Java
    Description

    Dataset for East Java Analysis

  3. J

    Java Develop Service Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Jun 4, 2025
    + more versions
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    Archive Market Research (2025). Java Develop Service Report [Dataset]. https://www.archivemarketresearch.com/reports/java-develop-service-560634
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Java Development Services market is experiencing robust growth, driven by the enduring popularity of Java as a robust and versatile programming language. While precise market size figures for the base year (2025) aren't provided, considering the widespread adoption of Java across diverse sectors like enterprise applications, Android development, and big data processing, a reasonable estimate for the 2025 market size could be placed at $50 billion USD. Assuming a Compound Annual Growth Rate (CAGR) of 12% (a conservative estimate given Java's continued relevance), the market is projected to reach approximately $88 billion by 2033. This substantial growth is fueled by several key factors including the increasing demand for digital transformation initiatives, the rising popularity of cloud-native applications, and the continued evolution of Java itself through releases like Java 17 and beyond. Furthermore, the ongoing need for skilled Java developers, coupled with the complexity of large-scale enterprise systems, contributes to the sustained market demand for outsourcing Java development services. Leading companies such as Mercury Development, Aglowid IT Solutions, Algoworks, iOLAP, and iTechArt Group are major players in this competitive landscape, each offering specialized services and catering to specific client needs. However, the market also faces some challenges, including the emergence of competing programming languages and the need for developers to continually upskill to stay current with the latest Java advancements. Despite these constraints, the long-term outlook for the Java Development Services market remains exceptionally positive, fueled by ongoing innovation and the continued preference for Java within enterprise ecosystems. The market's continued expansion is expected to create significant opportunities for both established companies and new entrants.

  4. Additional file 2 of SpinSPJ: a novel NMR scripting system to implement...

    • springernature.figshare.com
    7z
    Updated Jun 3, 2023
    + more versions
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    Zao Liu; Zhiwei Chen; Kan Song (2023). Additional file 2 of SpinSPJ: a novel NMR scripting system to implement artificial intelligence and advanced applications [Dataset]. http://doi.org/10.6084/m9.figshare.17140852.v1
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    7zAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Zao Liu; Zhiwei Chen; Kan Song
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Additional file 2: Script examples. Example script files of SpinSPJ, including automation, searching shimming, baseline correction, PCA, NUS, etc.

  5. f

    High-Throughput Tabular Data Processor – Platform independent graphical tool...

    • plos.figshare.com
    pdf
    Updated Jun 2, 2023
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    Piotr Madanecki; Magdalena Bałut; Patrick G. Buckley; J. Renata Ochocka; Rafał Bartoszewski; David K. Crossman; Ludwine M. Messiaen; Arkadiusz Piotrowski (2023). High-Throughput Tabular Data Processor – Platform independent graphical tool for processing large data sets [Dataset]. http://doi.org/10.1371/journal.pone.0192858
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    pdfAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Piotr Madanecki; Magdalena Bałut; Patrick G. Buckley; J. Renata Ochocka; Rafał Bartoszewski; David K. Crossman; Ludwine M. Messiaen; Arkadiusz Piotrowski
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    High-throughput technologies generate considerable amount of data which often requires bioinformatic expertise to analyze. Here we present High-Throughput Tabular Data Processor (HTDP), a platform independent Java program. HTDP works on any character-delimited column data (e.g. BED, GFF, GTF, PSL, WIG, VCF) from multiple text files and supports merging, filtering and converting of data that is produced in the course of high-throughput experiments. HTDP can also utilize itemized sets of conditions from external files for complex or repetitive filtering/merging tasks. The program is intended to aid global, real-time processing of large data sets using a graphical user interface (GUI). Therefore, no prior expertise in programming, regular expression, or command line usage is required of the user. Additionally, no a priori assumptions are imposed on the internal file composition. We demonstrate the flexibility and potential of HTDP in real-life research tasks including microarray and massively parallel sequencing, i.e. identification of disease predisposing variants in the next generation sequencing data as well as comprehensive concurrent analysis of microarray and sequencing results. We also show the utility of HTDP in technical tasks including data merge, reduction and filtering with external criteria files. HTDP was developed to address functionality that is missing or rudimentary in other GUI software for processing character-delimited column data from high-throughput technologies. Flexibility, in terms of input file handling, provides long term potential functionality in high-throughput analysis pipelines, as the program is not limited by the currently existing applications and data formats. HTDP is available as the Open Source software (https://github.com/pmadanecki/htdp).

  6. Java Develop Service Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 23, 2024
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    Dataintelo (2024). Java Develop Service Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-java-develop-service-market
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    csv, pdf, pptxAvailable download formats
    Dataset updated
    Sep 23, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Java Development Services Market Outlook



    The global market size for Java Development Services in 2023 is projected to be approximately USD 8.5 billion, growing to an estimated USD 18.7 billion by 2032, at a CAGR of 9.1% during the forecast period. The growth in this market is primarily driven by the increasing demand for robust, scalable, and secure enterprise applications across various industries globally. Factors such as digital transformation, the rise of e-commerce, and the growing prevalence of mobile and web applications contribute significantly to this market's expansion.



    One of the key growth factors for the Java Development Services market is the widespread adoption of digital transformation initiatives across businesses of all sizes. Companies are increasingly investing in creating or upgrading their digital infrastructure to stay competitive in a rapidly evolving market landscape. Java, being a versatile and powerful programming language, is often the preferred choice for developing enterprise-grade applications that require high reliability, performance, and scalability. With organizations striving to enhance their digital capabilities, the demand for Java development services has seen a substantial rise.



    Another crucial growth driver is the burgeoning e-commerce sector, which relies heavily on robust backend systems to handle large volumes of transactions and user data. Java's strong security features and its ability to support complex, high-traffic applications make it an ideal choice for e-commerce platforms. As online retail continues to grow at an unprecedented rate, the necessity for customized, scalable, and secure Java-based solutions is expected to propel the market further. Additionally, the trend of leveraging big data analytics and artificial intelligence within e-commerce frameworks further amplifies the demand for proficient Java development.



    The proliferation of mobile and web applications has also significantly contributed to the increased demand for Java Development Services. With the surge in smartphone usage and internet penetration, businesses are aiming to offer seamless user experiences across multiple platforms. Java offers cross-platform capabilities, making it highly suitable for developing both mobile and web applications. Furthermore, the rise of cloud computing and the increasing preference for deploying applications on the cloud have accentuated the need for Java developers who can create and manage robust cloud-based applications.



    From a regional perspective, the Asia Pacific region stands out as a significant growth area for Java Development Services, driven by the rapid digitalization in emerging economies such as China, India, and Southeast Asian countries. The presence of a large pool of skilled developers and cost-effective development services further boosts the region’s attractiveness. North America and Europe also represent substantial markets due to the advanced technological landscape and the high adoption rates of digital transformation initiatives. Meanwhile, Latin America and the Middle East & Africa are expected to witness moderate growth, propelled by increasing investments in technology infrastructure.



    Custom Application Development Analysis



    Custom Application Development is a critical segment within the Java Development Services market, addressing the unique needs of businesses that require tailored software solutions. This segment has been witnessing robust growth, driven by enterprises seeking bespoke applications that cater to specific business processes. The flexibility and scalability of Java make it a prime choice for developing customized applications that can evolve with the business needs. Organizations across various sectors, including BFSI, healthcare, and retail, often prefer custom Java applications to ensure seamless integration with their existing systems and to achieve a competitive edge through unique functionalities.



    The demand for Custom Application Development is further augmented by the increasing complexity of business operations and the need for enhanced operational efficiency. Java’s robust ecosystem, which includes a vast array of frameworks, libraries, and tools, enables developers to deliver high-quality, custom solutions efficiently. This capability is particularly valuable in industries such as manufacturing and IT, where businesses require sophisticated applications to manage complex workflows and large datasets. The ability to create applications that are both highly functional and user-friendly is a significant driver for this segment.


  7. Java Web Frameworks Software Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Java Web Frameworks Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-java-web-frameworks-software-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Java Web Frameworks Software Market Outlook



    The global Java Web Frameworks Software market size was valued at USD 3.2 billion in 2023 and is expected to reach USD 5.9 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.1% from 2024 to 2032. This robust growth trajectory is fueled by increasing adoption of web applications across various industries and the continuous evolution of new frameworks that enhance efficiency and scalability in software development. As businesses increasingly transition to digital-first approaches, the demand for robust, flexible, and scalable frameworks like those offered in Java continues to rise, promising significant opportunities for market expansion.



    The growth of the Java Web Frameworks Software market is largely attributed to the increasing demand for enterprise-level web applications that require robust and scalable solutions. Java frameworks offer a multitude of benefits such as platform independence, strong community support, and flexibility, which are crucial for businesses looking to develop applications that can grow with their needs. Furthermore, the rise of microservices architecture and cloud-native applications has encouraged the adoption of Java frameworks, as they are well-suited for building resilient, scalable, and maintainable software systems. As organizations continue to embrace digital transformation, the importance of reliable and efficient web frameworks is underscored, driving the market forward.



    Technological advancements and the integration of artificial intelligence (AI) into web development processes are also significant growth factors for the Java Web Frameworks Software market. The incorporation of AI and machine learning capabilities into Java frameworks enables developers to create more intelligent applications that can provide enhanced user experiences and improved operational efficiency. Additionally, the growing popularity of the Internet of Things (IoT) and the need for applications that can seamlessly integrate with a multitude of devices have led to increased demand for adaptable and secure web frameworks, further propelling market growth.



    Another critical growth driver is the focus on cybersecurity and data protection in web application development. With the increase in cyber threats, businesses are prioritizing secure frameworks that can protect sensitive data and maintain user trust. Java frameworks are renowned for their robust security features, making them a preferred choice for organizations that prioritize data security in their digital solutions. As data privacy regulations become more stringent globally, the demand for secure frameworks is expected to rise, further boosting the market for Java web frameworks software.



    Regionally, North America currently holds the largest share of the Java Web Frameworks Software market, driven by the presence of a large number of technology companies and the early adoption of advanced technologies. However, the Asia Pacific region is projected to witness the highest growth rate during the forecast period, owing to increasing digital transformation initiatives and the rapid adoption of cloud-based solutions in emerging economies. As businesses in these regions look to leverage cutting-edge technologies to gain a competitive edge, the demand for robust and scalable web frameworks is expected to surge, contributing to the overall market expansion.



    In the realm of digital content management, Java Content Management Systems (CMS) Software plays a pivotal role. These systems are designed to streamline the creation, management, and distribution of digital content, providing businesses with the tools needed to maintain a dynamic online presence. Java CMS solutions are particularly valued for their scalability, security, and flexibility, making them ideal for organizations that require robust content management capabilities. With the increasing importance of content in digital marketing strategies, the demand for sophisticated CMS solutions continues to grow. Java-based CMS platforms offer seamless integration with existing IT infrastructure, supporting the development of customized solutions that cater to specific business needs. As companies strive to enhance their digital engagement, Java CMS software provides the foundation for delivering compelling content experiences across multiple channels.



    Framework Type Analysis



    When examining the Java Web Frameworks Software market through the lens of f

  8. B

    Big Data Intelligence Engine Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 21, 2025
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    Data Insights Market (2025). Big Data Intelligence Engine Report [Dataset]. https://www.datainsightsmarket.com/reports/big-data-intelligence-engine-1991939
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Big Data Intelligence Engine market is experiencing robust growth, driven by the increasing need for advanced analytics across diverse sectors. The market's expansion is fueled by several key factors: the exponential growth of data volume from various sources (IoT devices, social media, etc.), the rising adoption of cloud computing for data storage and processing, and the increasing demand for real-time insights to support faster and more informed decision-making. Applications spanning data mining, machine learning, and artificial intelligence are significantly contributing to this market expansion. Furthermore, the rising adoption of programming languages like Java, Python, and Scala, which are well-suited for big data processing, is further fueling market growth. Technological advancements, such as the development of more efficient and scalable algorithms and the emergence of specialized hardware like GPUs, are also playing a crucial role. While data security and privacy concerns, along with the high initial investment costs associated with implementing Big Data Intelligence Engine solutions, pose some restraints, the overall market outlook remains extremely positive. The competitive landscape is dominated by a mix of established technology giants like IBM, Microsoft, Google, and Amazon, and emerging players such as Alibaba Cloud, Tencent Cloud, and Baidu Cloud. These companies are aggressively investing in research and development to enhance their offerings and expand their market share. The market is geographically diverse, with North America and Europe currently holding significant market shares. However, the Asia-Pacific region, particularly China and India, is expected to witness the fastest growth in the coming years due to increasing digitalization and government initiatives promoting technological advancements. This growth is further segmented by application (Data Mining, Machine Learning, AI) and programming languages (Java, Python, Scala), offering opportunities for specialized solutions and services. The forecast period of 2025-2033 promises substantial growth, driven by continued innovation and widespread adoption across industries.

  9. 1 million - Chinese Code Questions Text Parsing And Processing Data

    • m.nexdata.ai
    Updated Mar 6, 2025
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    Nexdata (2025). 1 million - Chinese Code Questions Text Parsing And Processing Data [Dataset]. https://m.nexdata.ai/datasets/llm/1738
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    Dataset updated
    Mar 6, 2025
    Dataset authored and provided by
    Nexdata
    Variables measured
    Format, Content, Language, Data Size, Data Fields, Data Categories, Data processing
    Description

    1 million - Chinese Code Questions Text Parsing And Processing Data, including c, c++, python, java, javascript multiple language code questions. Each test contains title, answer, parse, and language fields. This data can help model building and solidify code programming skills for better performance in programming tasks.

  10. Z

    Accepted Artifact for Profiling and Optimizing Java Streams

    • data.niaid.nih.gov
    • zenodo.org
    Updated Feb 15, 2023
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    Binder, Walter (2023). Accepted Artifact for Profiling and Optimizing Java Streams [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_7557340
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    Dataset updated
    Feb 15, 2023
    Dataset provided by
    Marciello, Mariano
    Rosales, Eduardo
    Binder, Walter
    Basso, Matteo
    Rosà, Andrea
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The accepted artifact for the journal article "Profiling and Optimizing Java Streams" published in Volume 7, Issue 3 of The Art, Science, and Engineering of Programming.

    Please refer to the README.md to work with the artifact and reproduce results from the article.

  11. J

    Java Development Service Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 1, 2025
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    Market Research Forecast (2025). Java Development Service Report [Dataset]. https://www.marketresearchforecast.com/reports/java-development-service-24888
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Java Development Services market is experiencing robust growth, driven by the enduring popularity of Java, its versatility across platforms, and the increasing demand for robust and scalable enterprise applications. The market size in 2025 is estimated at $25 billion, reflecting a healthy CAGR of 15% from 2019 to 2025. This growth is fueled by several key factors: the rising adoption of cloud-native architectures, the expanding need for microservices, and the continued development of innovative Java frameworks like Spring Boot and Jakarta EE. Large enterprises are major consumers, leveraging Java's scalability and reliability for mission-critical applications. However, the increasing popularity of other programming languages and the skills gap in experienced Java developers present challenges. The market is segmented by service type (online, offline) and application (large enterprises, SMEs), with online services showing faster growth due to accessibility and cost-effectiveness. Geographically, North America and Europe currently hold significant market share, but the Asia-Pacific region is projected to experience the fastest growth in the forecast period (2025-2033) due to a burgeoning IT sector and increasing digitalization. The competitive landscape is highly fragmented, with numerous companies offering a range of Java development services. The market is expected to consolidate slightly over the forecast period as larger firms acquire smaller players to enhance their service offerings and geographic reach. The forecast period (2025-2033) anticipates continued growth, driven by factors such as the increasing adoption of artificial intelligence (AI) and machine learning (ML) applications developed using Java, and the expansion of the Internet of Things (IoT) requiring robust backend solutions. However, factors like the rising cost of skilled Java developers and the emergence of competing technologies could moderate growth. To maintain a competitive edge, companies must focus on continuous innovation, specialization in niche areas like cloud-native development or big data processing using Java, and offering competitive pricing models. The focus on delivering high-quality, secure, and scalable Java solutions will remain paramount for success in this dynamic market.

  12. I

    Indonesia Investment Realization: Domestic: Central Java: 12: Tobacco...

    • ceicdata.com
    Updated Dec 15, 2020
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    CEICdata.com (2020). Indonesia Investment Realization: Domestic: Central Java: 12: Tobacco Processing Industry [Dataset]. https://www.ceicdata.com/en/indonesia/investment-realization-by-province-by-isic-rev4-kbli-2020-central-java/investment-realization-domestic-central-java-12-tobacco-processing-industry
    Explore at:
    Dataset updated
    Dec 15, 2020
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2021 - Mar 1, 2024
    Area covered
    Indonesia
    Description

    Indonesia Investment Realization: Domestic: Central Java: 12: Tobacco Processing Industry data was reported at 15,513.671 IDR mn in Mar 2025. This records a decrease from the previous number of 66,305.400 IDR mn for Dec 2024. Indonesia Investment Realization: Domestic: Central Java: 12: Tobacco Processing Industry data is updated quarterly, averaging 51,916.000 IDR mn from Jun 1996 (Median) to Mar 2025, with 49 observations. The data reached an all-time high of 638,494.000 IDR mn in Mar 2015 and a record low of 648.000 IDR mn in Dec 2013. Indonesia Investment Realization: Domestic: Central Java: 12: Tobacco Processing Industry data remains active status in CEIC and is reported by Indonesia Investment Coordinating Board. The data is categorized under Indonesia Premium Database’s Investment – Table ID.OC013: Investment Realization: By Province: By ISIC Rev.4 - KBLI 2020: Central Java.

  13. r

    Support Java Program for HONN Training

    • researchdata.edu.au
    Updated Apr 27, 2017
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    Xu, Shuxiang (2017). Support Java Program for HONN Training [Dataset]. https://researchdata.edu.au/support-java-program-honn-training/927311
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    Dataset updated
    Apr 27, 2017
    Dataset provided by
    University of Tasmania, Australia
    Authors
    Xu, Shuxiang
    Description

    This is a support Java program for generating input files for Higher Order Neural Network learning program

  14. H

    Hyperscale Data Center Industry Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 1, 2025
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    Data Insights Market (2025). Hyperscale Data Center Industry Report [Dataset]. https://www.datainsightsmarket.com/reports/hyperscale-data-center-industry-12813
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The hyperscale data center industry is experiencing robust growth, projected to reach a market size of $101.23 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 5.29% from 2025 to 2033. This expansion is fueled by several key drivers. The exponential increase in data generated by cloud computing, the Internet of Things (IoT), and big data analytics necessitates massive data storage and processing capabilities, driving demand for hyperscale data centers. Furthermore, the increasing adoption of artificial intelligence (AI), machine learning (ML), and high-performance computing (HPC) applications further intensifies this demand. The shift towards digital transformation across various industries, coupled with the growing need for enhanced network connectivity and low latency, is also contributing significantly to market growth. Hyperscale colocation facilities are gaining traction, offering businesses a scalable and cost-effective alternative to self-build data centers. Competition among major players, including IBM, Hewlett Packard Enterprise, Alphabet, Cisco, Microsoft, Amazon Web Services, Huawei, Quanta Computer, Alibaba, Facebook, and Nvidia, is fierce, driving innovation and efficiency improvements within the sector. Geographical distribution reveals a strong presence in North America and Europe, driven by mature digital economies and robust IT infrastructure. However, the Asia-Pacific region is witnessing rapid growth, particularly in countries like India and China, fueled by increasing digitalization and government initiatives to support the development of digital infrastructure. Despite the positive growth trajectory, challenges remain. These include the high initial capital investment required for building and maintaining hyperscale data centers, the escalating energy consumption, and the growing concerns regarding data security and privacy. Addressing these challenges will be crucial for sustainable and responsible growth in the hyperscale data center market throughout the forecast period. The industry is likely to see further consolidation and strategic partnerships as companies seek to leverage economies of scale and expand their market reach. Recent developments include: November 2022 - Big Data Exchange (BDx), PT Indosat Tbk (Indosat Ooredoo Hutchison), and PT Aplikanusa Lintasarta announced their plan to build a 100MW data center complex on 12 acres of land. This new data center campus, CGK5, will be located in Karawang, West Java, east of Jakarta, and will be part of the company's third availability zone. The BDx Indonesia joint venture is a key component of the BDx platform, and the construction of CGK5 is BDx's 11th data center in the Asia-Pacific region. With more than USD 1 billion in committed investment funding, BDx's strong development trajectory across Asia allows scaled innovation in the most challenging markets., June 2022 - Equinix Inc., one of the leading global digital infrastructure companies, and PGIM Real Estate, the real estate investment and financing arm of PGIM, Prudential financial's global asset management business, announced the opening of the xScale data center in Sydney, named SY9x. This achievement followed the completion of the parties' USD 575 million joint venture., May 2022 - NTT Ltd in India announced the launch of its new hyperscale data center facility in Navi Mumbai, beginning with the NAV1A data center. This increases NTT's data center presence in the nation to 12 facilities, covering more than 2.5 million sq ft (232,258 m2) and 220 MW of facility power, solidifying its position as India's market leader in this segment., March 2022 - Yondr Group, one of the global leaders in developer, owner-operator, and service provider of data centers announced its expansion into the Malaysian market with a planned 200MW hyperscale campus to be developed on 72.8 acres of land acquired from TPM Technopark Sdn Bhd, a wholly owned subsidiary of Johor Corporation. Yondr's hyper-scale campus will be built in phases and have a total capacity of 200MW when completed, with the first phase anticipated to be completed in 2024. With at least 600MW of capacity, black fiber connectivity, and scalable utilities and infrastructure.. Key drivers for this market are: Growing Demand for Cloud Computing and Other High Performance Technologies. Potential restraints include: High Costs and Operational Concerns, Concerns related to Geoprivacy and Confidential Data. Notable trends are: Growing Demand for Cloud Computing and Other Hight Performance Technologies Driving the Market.

  15. Data from: JTeC: A Large Collection of Java Test Classes forTest Code...

    • zenodo.org
    application/gzip
    Updated Mar 15, 2020
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    Federico Corò; Federico Corò; Roberto Verdecchia; Roberto Verdecchia; Emilio Cruciani; Emilio Cruciani; Breno Miranda; Breno Miranda; Antonia Bertolino; Antonia Bertolino (2020). JTeC: A Large Collection of Java Test Classes forTest Code Analysis and Processing [Dataset]. http://doi.org/10.5281/zenodo.2878368
    Explore at:
    application/gzipAvailable download formats
    Dataset updated
    Mar 15, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Federico Corò; Federico Corò; Roberto Verdecchia; Roberto Verdecchia; Emilio Cruciani; Emilio Cruciani; Breno Miranda; Breno Miranda; Antonia Bertolino; Antonia Bertolino
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The recent push towards test automation and test-driven development continues to scale up the dimensions of test code that needs to be maintained, analysed, and processed side-by-side with production code. As a consequence, on the one side regression testing techniques, e.g., for test suite prioritization or test case selection, capable to handle such large-scale test suites become indispensable; on the other side, as test code exposes own characteristics, specific techniques for its analysis and refactoring are actively sought. We present JTeC, a large-scale dataset of test cases that researchers can use for benchmarking the above techniques or any other type of tool expressly targeting test code. JTeC collects more than 2.5M+ test classes belonging to 31K+ GitHub projects and summing up to more than 430 Million LOCs of ready-to-use real-world test code.

  16. CommitBench

    • zenodo.org
    csv, json
    Updated Feb 14, 2024
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    Maximilian Schall; Maximilian Schall; Tamara Czinczoll; Tamara Czinczoll; Gerard de Melo; Gerard de Melo (2024). CommitBench [Dataset]. http://doi.org/10.5281/zenodo.10497442
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 14, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Maximilian Schall; Maximilian Schall; Tamara Czinczoll; Tamara Czinczoll; Gerard de Melo; Gerard de Melo
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Time period covered
    Dec 15, 2023
    Description

    Data Statement for CommitBench

    - Dataset Title: CommitBench
    - Dataset Curator: Maximilian Schall, Tamara Czinczoll, Gerard de Melo
    - Dataset Version: 1.0, 15.12.2023
    - Data Statement Author: Maximilian Schall, Tamara Czinczoll
    - Data Statement Version: 1.0, 16.01.2023

    EXECUTIVE SUMMARY

    We provide CommitBench as an open-source, reproducible and privacy- and license-aware benchmark for commit message generation. The dataset is gathered from github repositories with licenses that permit redistribution. We provide six programming languages, Java, Python, Go, JavaScript, PHP and Ruby. The commit messages in natural language are restricted to English, as it is the working language in many software development projects. The dataset has 1,664,590 examples that were generated by using extensive quality-focused filtering techniques (e.g. excluding bot commits). Additionally, we provide a version with longer sequences for benchmarking models with more extended sequence input, as well a version with

    CURATION RATIONALE

    We created this dataset due to quality and legal issues with previous commit message generation datasets. Given a git diff displaying code changes between two file versions, the task is to predict the accompanying commit message describing these changes in natural language. We base our GitHub repository selection on that of a previous dataset, CodeSearchNet, but apply a large number of filtering techniques to improve the data quality and eliminate noise. Due to the original repository selection, we are also restricted to the aforementioned programming languages. It was important to us, however, to provide some number of programming languages to accommodate any changes in the task due to the degree of hardware-relatedness of a language. The dataset is provides as a large CSV file containing all samples. We provide the following fields: Diff, Commit Message, Hash, Project, Split.

    DOCUMENTATION FOR SOURCE DATASETS

    Repository selection based on CodeSearchNet, which can be found under https://github.com/github/CodeSearchNet

    LANGUAGE VARIETIES

    Since GitHub hosts software projects from all over the world, there is no single uniform variety of English used across all commit messages. This means that phrasing can be regional or subject to influences from the programmer's native language. It also means that different spelling conventions may co-exist and that different terms may used for the same concept. Any model trained on this data should take these factors into account. For the number of samples for different programming languages, see Table below:

    LanguageNumber of Samples
    Java153,119
    Ruby233,710
    Go137,998
    JavaScript373,598
    Python472,469
    PHP294,394

    SPEAKER DEMOGRAPHIC

    Due to the extremely diverse (geographically, but also socio-economically) backgrounds of the software development community, there is no single demographic the data comes from. Of course, this does not entail that there are no biases when it comes to the data origin. Globally, the average software developer tends to be male and has obtained higher education. Due to the anonymous nature of GitHub profiles, gender distribution information cannot be extracted.

    ANNOTATOR DEMOGRAPHIC

    Due to the automated generation of the dataset, no annotators were used.

    SPEECH SITUATION AND CHARACTERISTICS

    The public nature and often business-related creation of the data by the original GitHub users fosters a more neutral, information-focused and formal language. As it is not uncommon for developers to find the writing of commit messages tedious, there can also be commit messages representing the frustration or boredom of the commit author. While our filtering is supposed to catch these types of messages, there can be some instances still in the dataset.

    PREPROCESSING AND DATA FORMATTING

    See paper for all preprocessing steps. We do not provide the un-processed raw data due to privacy concerns, but it can be obtained via CodeSearchNet or requested from the authors.

    CAPTURE QUALITY

    While our dataset is completely reproducible at the time of writing, there are external dependencies that could restrict this. If GitHub shuts down and someone with a software project in the dataset deletes their repository, there can be instances that are non-reproducible.

    LIMITATIONS

    While our filters are meant to ensure a high quality for each data sample in the dataset, we cannot ensure that only low-quality examples were removed. Similarly, we cannot guarantee that our extensive filtering methods catch all low-quality examples. Some might remain in the dataset. Another limitation of our dataset is the low number of programming languages (there are many more) as well as our focus on English commit messages. There might be some people that only write commit messages in their respective languages, e.g., because the organization they work at has established this or because they do not speak English (confidently enough). Perhaps some languages' syntax better aligns with that of programming languages. These effects cannot be investigated with CommitBench.

    Although we anonymize the data as far as possible, the required information for reproducibility, including the organization, project name, and project hash, makes it possible to refer back to the original authoring user account, since this information is freely available in the original repository on GitHub.

    METADATA

    License: Dataset under the CC BY-NC 4.0 license

    DISCLOSURES AND ETHICAL REVIEW

    While we put substantial effort into removing privacy-sensitive information, our solutions cannot find 100% of such cases. This means that researchers and anyone using the data need to incorporate their own safeguards to effectively reduce the amount of personal information that can be exposed.

    ABOUT THIS DOCUMENT

    A data statement is a characterization of a dataset that provides context to allow developers and users to better understand how experimental results might generalize, how software might be appropriately deployed, and what biases might be reflected in systems built on the software.

    This data statement was written based on the template for the Data Statements Version 2 schema. The template was prepared by Angelina McMillan-Major, Emily M. Bender, and Batya Friedman and can be found at https://techpolicylab.uw.edu/data-statements/ and was updated from the community Version 1 Markdown template by Leon Dercyznski.

  17. DSHI – Regional Waste Processing Facility Expansion – West Java

    • store.globaldata.com
    • globaldata.com
    Updated Sep 4, 2018
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    GlobalData UK Ltd. (2018). DSHI – Regional Waste Processing Facility Expansion – West Java [Dataset]. https://store.globaldata.com/report/dshi-regional-waste-processing-facility-expansion-west-java/
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    Dataset updated
    Sep 4, 2018
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2018 - 2022
    Area covered
    West Java, Java, Asia-Pacific
    Description

    The Department of Settlement and Housing Indonesia (DSHI) is expanding a regional waste processing facility in West Bandung Regency, West Java, Indonesia.The project involves the expansion of a regional waste processing facility with a processing capacity from 1,200 to 1,800 tonnes per day on 25.5ha of land. It includes a combustion line, waste processing units, furnaces, power units, a powerhouse and a substation, the installation of turbines and generators, and the laying of transmission lines.Zhejiang Bestwa Envitech Co. Ltd conducted a feasibility study on the project.In March 2017, The Regional Waste Management Agency (BPSR) applied a request for additional land tenure to the West Java Provincial Government.The project will be invested by the Government of West Java, the Central Government and private investor through built, operate and transit (BOT) scheme.The West Java Provincial Government leased 21.2ha of land from PT Perhutani and the remaining land purchased from residents by the City Government Cimahi and West Bandung regency.Pre-tender works are underway. Construction works are scheduled to commence in 2019. Read More

  18. Indonesia Investment Realization: Domestic: West Java: 12: Tobacco...

    • ceicdata.com
    Updated Dec 15, 2020
    + more versions
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    CEICdata.com (2020). Indonesia Investment Realization: Domestic: West Java: 12: Tobacco Processing Industry [Dataset]. https://www.ceicdata.com/en/indonesia/investment-realization-by-province-by-isic-rev4-kbli-2020-west-java/investment-realization-domestic-west-java-12-tobacco-processing-industry
    Explore at:
    Dataset updated
    Dec 15, 2020
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2010 - Mar 1, 2024
    Area covered
    Indonesia
    Description

    Indonesia Investment Realization: Domestic: West Java: 12: Tobacco Processing Industry data was reported at 70,987.541 IDR mn in Mar 2025. This records a decrease from the previous number of 181,556.900 IDR mn for Dec 2024. Indonesia Investment Realization: Domestic: West Java: 12: Tobacco Processing Industry data is updated quarterly, averaging 181,556.900 IDR mn from Dec 2009 (Median) to Mar 2025, with 17 observations. The data reached an all-time high of 1,689,787.600 IDR mn in Dec 2010 and a record low of 98.900 IDR mn in Jun 2024. Indonesia Investment Realization: Domestic: West Java: 12: Tobacco Processing Industry data remains active status in CEIC and is reported by Indonesia Investment Coordinating Board. The data is categorized under Indonesia Premium Database’s Investment – Table ID.OC012: Investment Realization: By Province: By ISIC Rev.4 - KBLI 2020: West Java.

  19. Z

    Datasets for: Semantic Robustness of Models of Source Code

    • data.niaid.nih.gov
    • zenodo.org
    Updated Feb 8, 2020
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    Goutham Ramakrishnan (2020). Datasets for: Semantic Robustness of Models of Source Code [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3659216
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    Dataset updated
    Feb 8, 2020
    Dataset provided by
    Goutham Ramakrishnan
    Zi Wang
    Jordan Henkel
    Somesh Jha
    Aws Albarghouthi
    Thomas Reps
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Datasets for Semantic Robustness of Models of Source Code.

    Includes the c2s/java-small, csn/java, csn/python, and sri/py150 in the following representations:

    Raw [in raw.tar.gz]

    Normalized [in normalized.tar.gz]

    Pre-processed (ast-paths and tokens) [in preprocessed.tar.gz]

    Transformed [in transformed.tar.gz]

    Normalized

    transforms.All

    transforms.ShuffleLocalVariables

    transforms.ShuffleParameters

    transforms.RenameLocalVariables

    transforms.RenameFields

    transforms.RenameParameters

    transforms.ReplaceTrueFalse

    transforms.InsertPrintStatements

    transforms.Identity

    Pre-processed (ast-paths and tokens)

    transforms.Identity

    transforms.InsertPrintStatements

    transforms.ReplaceTrueFalse

    transforms.RenameParameters

    transforms.RenameFields

    transforms.RenameLocalVariables

    transforms.ShuffleParameters

    transforms.ShuffleLocalVariables

    transforms.All

  20. Indonesia Investment Realization: Foreign: Central Java: 32: Other...

    • ceicdata.com
    Updated Dec 15, 2020
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    CEICdata.com (2020). Indonesia Investment Realization: Foreign: Central Java: 32: Other processing industries [Dataset]. https://www.ceicdata.com/en/indonesia/investment-realization-by-province-by-isic-rev4-kbli-2020-central-java/investment-realization-foreign-central-java-32-other-processing-industries
    Explore at:
    Dataset updated
    Dec 15, 2020
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2021 - Mar 1, 2024
    Area covered
    Indonesia
    Description

    Indonesia Investment Realization: Foreign: Central Java: 32: Other processing industries data was reported at 32.437 USD bn in Mar 2025. This records a decrease from the previous number of 34.559 USD bn for Dec 2024. Indonesia Investment Realization: Foreign: Central Java: 32: Other processing industries data is updated quarterly, averaging 2.250 USD bn from Sep 1998 (Median) to Mar 2025, with 64 observations. The data reached an all-time high of 3,000.000 USD bn in Mar 2001 and a record low of 1.100 USD mn in Mar 2015. Indonesia Investment Realization: Foreign: Central Java: 32: Other processing industries data remains active status in CEIC and is reported by Indonesia Investment Coordinating Board. The data is categorized under Indonesia Premium Database’s Investment – Table ID.OC013: Investment Realization: By Province: By ISIC Rev.4 - KBLI 2020: Central Java.

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Market Research Forecast (2025). Java Develop Service Report [Dataset]. https://www.marketresearchforecast.com/reports/java-develop-service-27255

Java Develop Service Report

Explore at:
pdf, ppt, docAvailable download formats
Dataset updated
Mar 4, 2025
Dataset authored and provided by
Market Research Forecast
License

https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

Time period covered
2025 - 2033
Area covered
Global
Variables measured
Market Size
Description

The Java Development Services market, valued at $7,700.7 million in 2025, exhibits robust growth potential. Driven by the enduring popularity of Java, its versatility across platforms (web, mobile, enterprise applications), and the increasing demand for robust, scalable applications, the market is poised for significant expansion. The strong presence of established players like Mercury Development and Aglowid IT Solutions, alongside numerous smaller specialized firms, indicates a competitive yet dynamic landscape. The market segmentation reveals a balanced distribution between online and offline service provision, with enterprise applications driving a substantial portion of the demand. Growth is further fueled by the ongoing digital transformation across various industries, fostering a constant need for Java-based solutions for data processing, web applications, and enterprise resource planning (ERP) systems. The geographical spread reveals strong demand across North America and Europe, reflecting the high concentration of technology companies and digital adoption rates in these regions. However, growth opportunities exist in emerging markets within Asia Pacific and the Middle East & Africa, driven by increasing technological investments and digital infrastructure development. A conservative estimate for the Compound Annual Growth Rate (CAGR) over the forecast period (2025-2033) would be around 8%, reflecting a mature but still evolving market. This growth will likely be tempered by factors such as the rising adoption of alternative programming languages and the increasing competition from other technology service providers. While precise CAGR is unavailable, considering market maturity and the projected increase in demand across various sectors, a moderate to high CAGR is likely. The substantial market size and the presence of multiple established companies suggest a stable market with potential for further consolidation. The segment breakdown (online/offline, individual/enterprise) is crucial for understanding client preferences and adapting service strategies. Future growth will hinge on innovation within Java-based technologies, the adoption of cloud-based Java development, and the emergence of specialized niche services catering to emerging industry requirements. The ongoing focus on cybersecurity and data privacy will also strongly influence market dynamics, necessitating solutions that prioritize secure and compliant Java development practices.

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