The Registry of Open Data on AWS contains publicly available datasets that are available for access from AWS resources. Note that datasets in this registry are available via AWS resources, but they are not provided by AWS; these datasets are owned and maintained by a variety of government organizations, researchers, businesses, and individuals. This dataset contains derived forms of the data in https://github.com/awslabs/open-data-registry that have been transformed for ease of use with machine interfaces. Currently, only the ndjson form of the registry is populated here.

The Data Exchange Platform Services Marketsize was valued at USD 1.3 billion in 2023 and is projected to reach USD 7.5 billion by 2032, exhibiting a CAGR of 19.15 % during the forecast period. The market of data exchange platform services includes services that are required to provide strict capability of exchanging data between various organizations, systems, and/or applications. They include an integration hub used for accepting, transforming, and routing data in real time according to its source and format. Besides, there are several use cases associated with Data Exchange platforms, including Inter-Organization Data Sharing, Cloud-Application Integration, and From Cloud to On-Prem, Off-Prem Applications Data Transfer. These include financing, medical, sales and industrial production, statistic and analytical, provision of goods and services, as well as meeting clients’ requirements. These trends include the need for cloud as a scale-out solution, data management, and security issues, and some disciplines have different need-states for platforms. To utilize data as a competitive tool, the market of the data exchange platform services is gradually developing at this moment and a new market is being formed. Recent developments include: November 2019: Amazon Web Services (AWS) partnered with Deloitte to help customers securely find, subscribe to, and use third-party data in the cloud using AWS Data Exchange, a new service that can help address unique healthcare issues. March 2020: Google Cloud Platform (GCP) launched Anthos, a new platform that enables businesses to run their applications across multiple clouds and on-premises environments. Anthos includes a data exchange feature that allows businesses to share data between their applications, regardless of where they are deployed.. Key drivers for this market are: Increasing Adoption of Cloud-based Managed Services to Drive Market Growth. Potential restraints include: Misuse of Virtual Currency and Security Attacks Confines the Adoption of Cryptocurrencies. Notable trends are: Growing Implementation of Touch-based and Voice-based Infotainment Systems to Increase Adoption of Intelligent Cars.

This dataset can be used to test Minimal Viable Product 2 from Research Data Exchange. This means that the data can only be analyzed in a closed and secure environment and that the output will be checked before it is shared with the data requester. The link to access the data can be found in the references. The data contains customer sentiments regarding Baby products purchased on Amazon.com, on the basis of their written reviews. The data is used for an assignment from the master track Behavioural Data Science, which be found on Kaggle, see reference.

Automated Weather Station and AWS-like networks are the primary source of surface-level meteorological data in remote polar regions. These networks have developed organically and independently, and deliver data to researchers in idiosyncratic ASCII formats that hinder automated processing and intercomparison among networks. Moreover, station tilt causes significant biases in polar AWS measurements of radiation and wind direction. Researchers, network operators, and data centers would benefit from AWS-like data in a common format, amenable to automated analysis, and adjusted for known biases. This project addresses these needs by developing a scientific software workflow called "Justified AWS" (JAWS) to ingest Level 2 (L2) data in the multiple formats now distributed, harmonize it into a common format, and deliver value-added Level 3 (L3) output suitable for distribution by the network operator, analysis by the researcher, and curation by the data center. Polar climate researchers currently face daunting problems including how to easily: 1. Automate analysis (subsetting, statistics, unit conversion) of AWS-like L2 ASCII data. 2. Combine or intercompare data and data quality from among unharmonized L2 datasets. 3. Adjust L2 data for biases such as AWS tilt angle and direction. JAWS addresses these common issues by harmonizing AWS L2 data into a common format, and applying accepted methods to quantify quality and estimate biases. Specifically, JAWS enables users and network operators to 1. Convert L2 data (usually ASCII tables) into a netCDF-based L3 format compliant with metadata conventions (Climate-Forecast and ACDD) that promote automated discovery and analysis. 2. Include value-added L3 features like the Retrospective, Iterative, Geometry-Based (RIGB) tilt angle and direction corrections, solar angles, and standardized quality flags. 3. Provide a scriptable API to extend the initial L2-to-L3 conversion to newer AWS-like networks and instruments. Polar AWS network experts and NSIDC DAAC personnel, each with decades of experience, will help guide and deliberate the L3 conventions implemented in Stages 2-3. The project will start on July 1, 2017 at entry Technology Readiness Level 3 and will exit on June 30, 2019 at TRL 6. JAWS is now a heterogeneous collection of scripts and methods developed and validated at UCI over the past 15 years. At exit, JAWS will comprise three modular stages written in or wrapped by Python, installable by Conda: Stage 1 ingests and translates L2 data into netCDF. Stage 2 annotates the netCDF with CF and ACDD metadata. Stage 3 derives value-added scientific and quality information. The labor-intensive tasks include turning our heterogeneous workflow into a robust, standards-compliant, extensible workflow with an API based on best practices of modern scientific information systems and services. Implementation of Stages 1-2 may be straightforward though tedious due to the menagerie of L2 formats, instruments, and assumptions. The RIGB component of Stage 3 requires ongoing assimilation of ancillary NASA data (CERES, AIRS) and use of automated data transfer protocols (DAP, THREDDS). The immediate target recipient elements are polar AWS network managers, users, and data distributors. L2 borehole data suffers from similar interoperability issues, as does non-polar AWS data. Hence our L3 format will be extensible to global AWS and permafrost networks. JAWS will increase in situ data accessibility and utility, and enable new derived products (both are AIST goals). The PI is a long-standing researcher, open source software developer, and educator who understands obstacles to harmonizing disparate datasets with NASA interoperability recommendations. Our team participates in relevant geoscience communities, including ESDS working groups, ESIP, AGU, and EarthCube.

In the fourth quarter of 2024, the most popular vendor in the cloud infrastructure services market, Amazon Web Services (AWS), controlled ** percent of the entire market. Microsoft Azure takes second place with ** percent market share, followed by Google Cloud with ** percent market share. Together, these three cloud vendors account for ** percent of total spend in the fourth quarter of 2024. Organizations use cloud services from these vendors for machine learning, data analytics, cloud native development, application migration, and other services. AWS Services Amazon Web Services is used by many organizations because it offers a wide variety of services and products to its customers that improve business agility while being secure and reliable. One of AWS’s most used services is Amazon EC2, which lets customers create virtual machines for their strategic projects while spending less time on maintaining servers. Another important service is Amazon Simple Storage Service (S3), which offers a secure file storage service. In addition, Amazon also offers security, website infrastructure management, and identity and access management solutions. Cloud infrastructure services Vendors offering cloud services to a global customer base do so through different types of cloud computing, which include infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). Further, there are different cloud computing deployment models available for customers, namely private cloud and public cloud, as well as community cloud and hybrid cloud. A cloud deployment model is defined based on the location where the deployment resides, and who has access to and control over the infrastructure.

The Data Catalog Marketsize was valued at USD 878.8 USD million in 2023 and is projected to reach USD 2749.95 USD million by 2032, exhibiting a CAGR of 17.7 % during the forecast period. Data catalog is another concept that is used to refer to a unified list of all the data resources within an organization and their descriptions that are crucial in the course of data search. It can also sort data, effectively making it easier to find and use data sets that the user requires. based on their usage, data catalogs can be distinguished into business, technical, and operation catalogs; business use for business intelligence, technical for providing metadata for technical use, and operational use for tracking operational data. Some of the significant elements of data catalogs are data lineage, metadata management, search and discovery features, data governance, and collaboration. They are actively utilized in industries for increasing data quality, satisfying the requirements of compliance, and optimizing the analysis to support better decision-making and increase efficiency in business operations. Recent developments include: February 2024 – Collibra launched Collibra AI Governance, built on their Data Intelligence Platform, enabling organizations to deliver trusted AI effectively through the use of Collibra Data Catalog. It aided teams in collaborating for compliance, improved model performance, reduced risk, and led to faster production timelines., September 2023 – AWS Lake Formation launched a Hybrid Access Module for the AWS Glue Data Catalog, allowing users to selectively enable Lake Formation for tables and databases without interrupting existing users or workloads. This feature provided flexibility and an integral path for enabling Lake Formation, reducing the need for coordination among owners and consumers., July 2023 – Teradata acquired Stemma Technologies to enhance its analytics capabilities, particularly in data discovery and delivery. Stemma’s automated data catalog bolstered Teradata’s offerings, aiming to improve user experience and accelerate ML and AI analytics growth., June 2023 – Acryl Data secured USD 21 million in Series A funding led by 8VC to enhance its open-source data catalog platform. This investment enhanced their cloud offerings and expanded their vision towards a data control plane., May 2023 – data.world launched its new Data Catalog Platform, integrating generative AI bots to enhance data discovery. With over 2 million users, the platform aimed to make data discovery and knowledge unlocking accessible to users of all expertise levels., February 2023 – data.world, a data governance platform, launched the first AI Lab for the data catalog industry. This Artificial Intelligence (AI) Lab would be important in bringing partners and customers together to enhance data team productivity using AI technology., November 2022 – Amazon Web Services (AWS) launched DataZone, a new machine learning-based data management service to help enterprises catalog, share, govern, and discover their data quickly.. Key drivers for this market are: Exponential Growth of Data Volume and Data Analytics to Fuel Market Growth. Potential restraints include: High Initial Deployment Cost and Privacy Concerns to Hinder Market Growth. Notable trends are: Growing Adoption of AI and Automation Technologies to Amplify Market Growth.

The Big Data Analytics industry in Brazil is expected to grow at a CAGR of 10.12% from 2025 to 2033, reaching a market size of USD 3.41 million by 2033. The growth is attributed to the increasing adoption of data analytics solutions by organizations across various industries, including IT and Telecom, BFSI, Retail and Consumer Goods, Manufacturing, Healthcare and Lifesciences, Government, and Other End-user Verticals. The rising need for real-time and actionable insights to drive informed decision-making is driving the demand for Big Data Analytics solutions, which help organizations analyze large volumes of structured and unstructured data to identify patterns, trends, and correlations. Key market trends include the adoption of cloud-based Big Data Analytics solutions, the increasing use of artificial intelligence (AI) and machine learning (ML) in data analysis, and the growing focus on data security and privacy. The competitive landscape is fragmented, with both established global players and local vendors vying for market share. Leading companies in the industry include TIBCO Software Inc, IBM Corporation, Tableu Software, WebRadar, Indicum Technology, Cotex Intelligence, SAS Institute, TAIL DMP, QlikTech, Precifica, and Splunk Inc. The market is expected to witness continued growth in the coming years, driven by the increasing adoption of Big Data Analytics solutions by organizations seeking to gain competitive advantage through data-driven insights. Recent developments include: March 2023: TIBCO Software Inc announced a series of enhancements to its analytics suite, delivering immersive, smart, and real-time analytics that empower customers to take action and benefit from faster, smarter insights. Game-changing updates to TIBCO Spotfire and other scalable analytics solutions close the gap between understanding and action, building on existing capabilities to accelerate time-to-decision and lower operations costs., December 2022: Splunk Inc. announced a five-year extension of its strategic collaboration agreement (SCA) with Amazon Web Services (AWS), Inc., where customers can create a security data lake using integrated cloud and on-premises data sources, as well as their private applications, thanks to Amazon Security Lake. With its support for the open standard Open Cybersecurity Schema Framework (OCSF), Amazon Security Lake offers customers a simpler and more cost-effective way to access data from their security solutions. This accessibility facilitates various security use cases, including threat detection, investigation, and incident response.. Key drivers for this market are: Higher Emphasis on Use of Analytics Tools to Empower Decision Making Among Large-Scale Enterprises, Rapid Increase in the Generation of Data Coupled with Availability of Several End-User Specific Tools Due to the Growth in Local Landscape; Growing Demand in Enterprise, Government and Telecom Verticals; Emerging Trends Such as Social Media Analytics to Witness the Growth. Potential restraints include: High Costs and Operational Concerns. Notable trends are: Retail & Consumer Goods is Expected to Register a Significant Growth.

The size of the Analytics of Things Market was valued at USD XXX XXX in 2024 and is projected to reach USD 0.00 XXX by 2033, with an expected CAGR of XXX% during the forecast period. The Analytics of Things (AoT) market is rapidly evolving, driven by the increasing need for businesses to leverage real-time data and make data-driven decisions. This market integrates advanced analytics with Internet of Things (IoT) technologies, enabling organizations to gain actionable insights from connected devices, sensors, and machines. AoT solutions are transforming industries such as healthcare, manufacturing, logistics, and smart cities by enhancing operational efficiency, predictive maintenance, and optimizing resource utilization. The growth of the AoT market is fueled by the surge in IoT device adoption, the rise in data generation, and advancements in cloud computing, AI, and machine learning. Key market players are focusing on developing innovative platforms that combine big data analytics with IoT infrastructure, improving performance and decision-making capabilities. Additionally, AoT is playing a critical role in providing real-time insights that help reduce costs, improve customer experiences, and streamline supply chains. With the increasing adoption of edge computing and AI-driven solutions, the Analytics of Things market is expected to continue expanding, revolutionizing industries and creating new opportunities for businesses worldwide. Recent developments include: In October 2022: KTD SYNNEX unveiled Data-IoTSolv in the Americas, empowering partners with IoT and data analytics tools for business growth. The solution includes AI and advanced analytics technologies for resellers., In August 2022: Amazon Web Services (AWS) revealed CEAT LTD's utilization of AWS for smart manufacturing. CEAT employs IoT, analytics, and machine learning to produce intelligent, sensor-equipped tires, enhancing manufacturing efficiency and enabling data-driven decisions with SAP on AWS. This development signifies CEAT's innovative strides in digitizing factories and launching new digital services., In May 2022: Kajeet, a top wireless solutions provider, launched Sentinel Insights, a cloud-based analytics tool enhancing its IoT management platform, Sentinel. The product ensures secure and reliable IoT solutions for businesses, schools, governments., In May 2020: Intel and SAS joined forces to enhance global analytics solutions, enabling rapid access to precise insights for users. This collaboration leverages advanced AI, machine learning, and IoT technologies.. Key drivers for this market are: IoT proliferation and data explosion

Need for data-driven decision-making

Emergence of advanced analytics technologies (AI, ML, edge computing)

Growing focus on operational efficiency and customer engagement

Demand for IoT data security and compliance. Potential restraints include: Data integration and management complexities

Skills and expertise gap in data analytics

Security and privacy concerns in IoT deployments

Cost and resource requirements

Lack of industry standardization. Notable trends are: Integration of IoT with 5G and cloud computing

Adoption of blockchain for data security and trust

Development of low-code/no-code IoT and analytics tools

Increasing use of AI/ML for automated data analysis

Focus on sustainability and data ethics.

With ** percent, Microsoft Azure took most of the market share for cloud computing in the Netherlands in 2020. Azure had within the healthcare sector the highest share with ** percent, whereas AWS had just six percent. Amazon Web Services, Microsoft Azure, and Google Cloud Platform are cloud services in which you can either store data, backup data, compute data or use specialized software created by either platform.

The Data Pipeline Market size was valued at USD 6.81 USD billion in 2023 and is projected to reach USD 28.03 USD billion by 2032, exhibiting a CAGR of 22.4 % during the forecast period.A Data Pipeline can be defined as the process of Data extraction, transformation, and loading into the destinations with the help of some chained processes. There are several types of data pipelines: It is possible to distinguish three main groups of neural network models, these are batch processing, real-time processing, and hybrids. These are data ingestion, data transformation, data validation and data storage for big data where most of the data processing is facilitated by workflow orchestrations. Data pipelines find use in many applications ranging from business intelligence to machine learning, and real-time analytics. They help to improve the level of decision-making, and productivity in organizations, and enable organizations obtain competitive advantages. Advantages consist of higher quality data, increased extensibility, as well as the diminished need for human interaction, providing quicker ans more precise outcomes. Recent developments include: In 2021, IBM acquired Databand AI, a provider of data observability and quality monitoring solutions. This acquisition will help IBM to strengthen its position in the data pipeline market. In 2020, Amazon Web Services (AWS) launched Amazon Data Pipeline, a fully managed data pipeline service that makes it easy to build, run, and monitor data pipelines. This service will help AWS to gain market share in the data pipeline market.. Key drivers for this market are: Increased Use of Advanced Data Pipeline Tools for Cloud Flexibility among Organizations to Bolster Market Growth. Potential restraints include: Lack of Access to Data in Business Processes May Impede Market Growth. Notable trends are: Growing Implementation of Touch-based and Voice-based Infotainment Systems to Increase Adoption of Intelligent Cars.

Recent developments include: April 2023: IBM Corporation announced the launch of a new QRadar Security Suite to accelerate threat detection and response. The launch of the new technology will help improve the productivity of security teams by enabling analysts to respond faster and more efficiently, thereby freeing them up for higher-value work., December 2022: Microsoft and LSEG (London Stock Exchange Group) announced a partnership to use Microsoft Cloud to create the latter’s data infrastructure and develop new data & analytics products and services. This partnership would strengthen its position as the world's leading financial market infrastructure and data provider., November 2022: Dremio, a simple and open data lakehouse, announced key features for updating & writing data, improved support for semi-structured data, and expanded data ecosystem and business intelligence (BI) integrations in the data lakehouse evolution., February 2022: Persistent Systems acquired Data Glove and created a new Microsoft business unit focused on the Azure cloud. The acquisition expanded the delivery capabilities with highly skilled personnel, established a new nearshore distribution center in Costa Rica, and expanded the company's presence in India and the U.S., December 2021: Informatica launched a new solution that democratized access to cloud data lakes on Amazon Web Services (AWS) with AWS Lake Formation. This solution enabled business users at every level within an organization to access their data with improved security and trust to make informed business decisions.. Key drivers for this market are: Rising Demand for Effective Security Solutions Among Organizations to Drive Market Growth. Potential restraints include: Budgetary Issues Among Small-Scale Businesses May Hinder Market Growth. Notable trends are: Growing Implementation of Touch-based and Voice-based Infotainment Systems to Increase Adoption of Intelligent Cars.

In the United States, consumers from Generation X are more likely to use Amazon Prime services, a survey from 2024 revealed. Nearly 35 percent of them were Amazon Prime subscribers, while boomers followed, as about 33 percent reported to be Prime members.

The size of the Cloud Storage Gateway Industry market was valued at USD XXX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 23.47% during the forecast period.A cloud storage gateway is basically a hardware or software appliance that acts between on-premises storage and cloud storage, hence standing as a bridge, thereby permitting frictionless transfer and access of data between local storage systems and remote cloud storage services. This gives many organizations numerous advantages.Using a cloud storage gateway, organizations can scale while reducing cost without sacrificing either performance or security. Data can be tiered between on-premises storage and the cloud in a way that makes sure data relevant to current activities are still locally stored to provide rapid access; infrequently accessed data is archived to the cloud for longer retention. This tiering approach maximizes storage spend while providing performance.Disaster recovery and business continuity may also be assured with the use of cloud storage gateways. An organization protects its data through the use of replication for its cloud-based data replication to have safety against hardware failures and such unforeseen disasters. They can then quickly retrieve data when a disaster has occurred for rapid recovery, restoring them back to the original situation. Recent developments include: January 2023: Amazon Web Services (AWS) made an important move by launching the AWS Local Zones location in Australia. This strategic step aims to enable Australian organizations to migrate additional workloads to AWS, thus supporting a hybrid cloud migration strategy and simplifying IT operations. The new location will provide low latency capabilities, which will be crucial in improving the performance of digital applications. It will also enable processing of large amounts of data faster, thus driving productivity gains., In March 2023: ASRock Industrial launched a new series of gateways designed for intelligent control at the edge. These gateways support real-time computing and can connect edge devices in a compact form factor. The iEP-7020E Series is highly beneficial in various industries, such as smart manufacturing, factory automation, robotics, process automation, smart cities, smart retail, AI surveillance, and more. This series of gateways features computing-intensive process control, ensuring optimized performance and energy efficiency., December 2022: Tiger Technology announced its entry into the digital pathology cloud file service with the launch of Tiger Bridge software. When integrated with a scanner, this software enables captured images to be sent to a public cloud repository, where remote consultants can review the images and help local medical teams make informed decisions about patient treatment., December 2022: StarWind, a leading provider of hyper-converged infrastructure (HCI) solutions, launched a storage gateway for Calamu. The storage gateway provides advanced data protection technology, safeguarding the company's backup data stored in the cloud against theft. The software's main feature is to protect in such a way that if data is stolen or copied off-site, it is automatically converted into an unusable format, thus preventing any unauthorized access. This innovative solution will help Calamu secure its data and ensure business continuity.. Key drivers for this market are: Increase in Cloud Adoption Across Several Industry Verticals, Growing Demand for Low Cost Data Storage and Faster Data Accessibility. Potential restraints include: Security Concerns Over Cloud Storage. Notable trends are: Healthcare End-user Industry Segment is Expected to Hold Significant Market Share.

The Alexa Connect Kit (ACK) market is experiencing robust growth, driven by the increasing adoption of smart home devices and the expanding ecosystem of Alexa-enabled products. While precise market sizing data is unavailable, considering the substantial growth in the broader smart home market—estimated at hundreds of billions of dollars globally—and the significant role of voice assistants like Alexa, we can reasonably infer a substantial and rapidly expanding ACK market. The CAGR, while unspecified, likely mirrors the overall smart home device growth, placing it in the high single digits to low double digits annually. Key drivers include the convenience and seamless integration offered by ACK, enabling manufacturers to quickly and cost-effectively integrate Alexa functionality into their devices. This reduces development time and costs, attracting a wider range of manufacturers to the ecosystem. Furthermore, the growing consumer preference for voice-controlled devices and the expanding applications of smart home technology across diverse sectors—from appliances and health devices to automotive and industrial applications—are powerful tailwinds for ACK adoption. However, potential restraints exist. Competition from other voice assistants and smart home platforms could limit ACK's market share. Concerns about data privacy and security surrounding connected devices also remain a challenge. To maintain momentum, Amazon must continue to enhance ACK's functionality, improve its developer tools, and address consumer concerns regarding data security. Segment-wise, the smart home devices and appliances segment currently holds the largest market share, with health and wellness devices and automotive integration showing significant growth potential. Hardware components constitute a larger market share compared to software, reflecting the fundamental need for physical devices to integrate with the Alexa platform. Geographically, North America and Europe are currently leading markets, reflecting higher smart home penetration, but the Asia-Pacific region presents substantial untapped potential given its rapidly expanding middle class and increasing smartphone usage. The forecast period (2025-2033) will likely witness significant expansion across all segments and regions, particularly in emerging markets.