Context

The CMS National Plan and Provider Enumeration System (NPPES) was developed as part of the Administrative Simplification provisions in the original HIPAA act. The primary purpose of NPPES was to develop a unique identifier for each physician that billed medicare and medicaid. This identifier is now known as the National Provider Identifier Standard (NPI) which is a required 10 digit number that is unique to an individual provider at the national level.

Once an NPI record is assigned to a healthcare provider, parts of the NPI record that have public relevance, including the provider’s name, speciality, and practice address are published in a searchable website as well as downloadable file of zipped data containing all of the FOIA disclosable health care provider data in NPPES and a separate PDF file of code values which documents and lists the descriptions for all of the codes found in the data file.

Content

The dataset contains the latest NPI downloadable file in an easy to query BigQuery table, npi_raw. In addition, there is a second table, npi_optimized which harnesses the power of Big Query’s next-generation columnar storage format to provide an analytical view of the NPI data containing description fields for the codes based on the mappings in Data Dissemination Public File - Code Values documentation as well as external lookups to the healthcare provider taxonomy codes . While this generates hundreds of columns, BigQuery makes it possible to process all this data effectively and have a convenient single lookup table for all provider information.

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Acknowledgements

https://bigquery.cloud.google.com/dataset/bigquery-public-data:nppes?_ga=2.117120578.-577194880.1523455401

https://console.cloud.google.com/marketplace/details/hhs/nppes?filter=category:science-research

Dataset Source: Center for Medicare and Medicaid Services. This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy — and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

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Inspiration

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In 2023, Google Cloud revenue amounted to 43.22 billion U.S. dollars, accounting for over 10 percent of Google's total revenues. The company's Cloud segment primarily generates revenue through the Google Cloud Platform (GCP), which offers a suite of cloud computing services running on Google infrastructure. Competition on the cloud In recent years, GCP has seen tremendous growth with increasing demand for cloud computing to keep pace with digital transformation. The development is fueled by the increasing demand for cloud-based services, dependency on cloud infrastructure for scalability, and the growing popularity of microservices. Tough competition from the largest cloud providers Microsoft Azure and Amazon Web Services has forced all cloud providers to continually innovate and offer new services to gain or retain existing customers. AI on the cloud The growing demand for new technologies like artificial intelligence (AI) will further fuel the demand for cloud infrastructure. AI development, deployment, and management for various applications are more straightforward on the cloud, with the availability of tools for data storage, data processing, and easy integration of machine learning in AI models. One of the critical factors that would drive the development of AI on the cloud is the providers' offer of a pay-as-you-go pricing model.

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The US data processing and hosting services industry is navigating a dynamic environment marked by rising demands and revolutionary trends. As digitalization accelerates, data centers have evolved from simple infrastructure to essential strategic assets. These hubs now power services ranging from cloud computing to advanced data analytics. In 2025, the data processing and hosting service market includes giants like Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP). Industry revenue currently sits at $383.8 billion, growing robustly at a CAGR of 9.2% over the past five years, including a 6.2% surge in 2025 alone. Alongside leading tech firms, smaller specialized providers cater to sectors like healthcare, financial services and government agencies with precision-placed data storage solutions. Emerging trends significantly influence the evolution of the US data processing and hosting services industry. Prominent among these is edge computing, a decentralized approach that locates data centers closer to end-user devices. Along with AI and modern data centers, these innovations aim to reduce latency and enhance application performance by minimizing resource usage in data transmission, thereby promoting broader adoption of cloud computing. Despite this transformative growth, the US data processing and hosting services industry faces significant hurdles, including a skill gap, escalating energy costs and escalating cybersecurity threats. This scarcity has heightened the focus on software automation, leading many facilities to implement AI solutions. Though offshoring trends lead to lost business for many participants, this activity is limited and the industry still benefits from strong demand, leading to rising profit. The industry is projected to grow at a CAGR of 2.4% to $431.4 billion by 2030. The future holds a mix of challenges and opportunities for the industry. Strategic investments in human capital and advanced technologies will distinguish industry leaders from laggards. Compliance with evolving data sovereignty and privacy regulations will determine local market competitiveness. Continuous innovation is expected to drive this progress, solidifying data centers' roles as pivotal components shaping the digital landscape ahead.

The Data Cleanroom Solutions market is experiencing robust growth, driven by increasing concerns around data privacy and the need for collaborative data analysis without compromising sensitive information. The market, currently valued at approximately $2 billion in 2025, is projected to achieve a Compound Annual Growth Rate (CAGR) of 25% from 2025 to 2033, reaching an estimated $10 billion by 2033. This expansion is fueled by several key factors. The rise of privacy regulations like GDPR and CCPA is compelling businesses to seek alternative solutions for collaborative data analysis, making data cleanrooms an attractive option. Furthermore, the increasing adoption of cloud-based solutions and the growing demand for advanced analytics across various sectors – particularly Marketing & Retail, Financial Services, and Healthcare – are driving market expansion. The diverse range of solutions, including physical, virtual, and TEE-based data cleanrooms, caters to a broad spectrum of user needs and technical capabilities. Although the market faces certain restraints, such as the complexity of implementation and the need for specialized expertise, the long-term outlook remains exceptionally positive. The ongoing evolution of data privacy regulations and the increasing sophistication of analytics techniques will continue to stimulate demand for secure and compliant data collaboration solutions. The competitive landscape is dynamic, featuring established tech giants like Google, Amazon, and Snowflake alongside specialized data cleanroom providers such as Infosum, AppsFlyer, and LiveRamp. These companies are constantly innovating to improve the functionality, security, and ease of use of their data cleanroom platforms. The market is segmented by application (Marketing & Retail, Financial Services, Healthcare, Manufacturing, Education & Research) and type (Physical, Virtual, TEE, Others), with the Marketing & Retail segment currently dominating due to the high volume of data generated and analyzed in this sector. Geographic expansion is also a key driver, with North America currently holding the largest market share, followed by Europe and Asia Pacific. However, rapid growth is expected in emerging markets in Asia and the Middle East & Africa as businesses in these regions increasingly prioritize data privacy and collaborative data analytics.

This public dataset was created by the Centers for Medicare & Medicaid Services. The data summarizes the utilization and payments for procedures, services, and prescription drugs provided to Medicare beneficiaries by specific inpatient and outpatient hospitals, physicians, and other suppliers. The dataset includes the following data - common inpatient and outpatient services, all physician and other supplier procedures and services, and all Part D prescriptions. Providers determine what they will charge for items, services, and procedures provided to patients and these charges are the amount that providers bill for an item, service, or procedure. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

The online backup and cloud storage tool market is experiencing robust growth, driven by increasing data generation, the proliferation of mobile devices, and heightened security concerns. The market, estimated at $200 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant expansion is fueled by several key factors. The rising adoption of cloud-based solutions by businesses of all sizes, from small enterprises to large corporations, is a major driver. Governments and public sector organizations are also increasingly embracing cloud storage for its scalability and cost-effectiveness. Furthermore, the growing demand for robust data protection and disaster recovery mechanisms is propelling market growth. The ease of access and collaborative features offered by cloud storage solutions are significantly impacting user adoption. Different segments within the market, such as public cloud storage and private cloud storage, cater to diverse needs, with the public cloud segment currently dominating due to its affordability and accessibility. However, the private cloud segment is witnessing a steady rise owing to concerns about data privacy and security, especially within regulated industries. Key players in the market include established tech giants like Microsoft, Google, and Amazon, alongside specialized providers like Dropbox and Box. The competitive landscape is characterized by ongoing innovation, mergers and acquisitions, and a focus on enhancing security features to meet the evolving demands of users. The geographical distribution of the market showcases strong growth across North America and Europe, attributed to high levels of technological adoption and digital infrastructure. However, the Asia Pacific region is also exhibiting rapid expansion, fueled by the increasing internet penetration and a burgeoning digital economy in countries like China and India. While several challenges, such as concerns about data security and privacy breaches, along with potential regulatory hurdles, pose restraints to market growth, the overall outlook remains extremely positive. Continued innovation in areas such as artificial intelligence (AI)-powered backup and enhanced security features will further fuel the market's trajectory in the coming years. The market is poised for significant expansion, with opportunities for existing players and emerging startups alike.

This dataset contains the valuation template the researcher can use to retrieve real-time Excel stock price and stock price in Google Sheets. The dataset is provided by Finsheet, the leading financial data provider for spreadsheet users. To get more financial data, visit the website and explore their function. For instance, if a researcher would like to get the last 30 years of income statement for Meta Platform Inc, the syntax would be =FS_EquityFullFinancials("FB", "ic", "FY", 30) In addition, this syntax will return the latest stock price for Caterpillar Inc right in your spreadsheet. =FS_Latest("CAT") If you need assistance with any of the function, feel free to reach out to their customer support team. To get starter, install their Excel and Google Sheets add-on.

The Data Lake Services market is experiencing robust growth, driven by the escalating need for organizations to store and analyze vast quantities of structured and unstructured data. The increasing adoption of cloud-based solutions, coupled with the expanding use of big data analytics across various industries (like finance, healthcare, and retail), is fueling this market expansion. While on-premises solutions still hold a segment of the market, especially among large enterprises with stringent data security requirements, the cloud-based segment is projected to dominate due to its scalability, cost-effectiveness, and ease of implementation. SMEs are increasingly embracing data lake services to gain valuable business insights from their data, leading to a significant increase in demand from this segment. However, challenges such as data security concerns, data governance complexities, and the lack of skilled professionals capable of managing and interpreting the data remain restraints on market growth. Assuming a conservative CAGR of 15% (a reasonable estimate given the rapid advancements in cloud technology and big data analytics), and a 2025 market size of $50 billion (a plausible figure given similar market analyses), we can project substantial growth throughout the forecast period (2025-2033). The North American market currently holds a significant share, primarily due to the early adoption of cloud technologies and a mature IT infrastructure, but the Asia-Pacific region, particularly China and India, is poised for significant growth due to rapid digitalization and increasing data generation. The competitive landscape is highly fragmented, with a mix of established cloud providers (AWS, Azure, Google Cloud) and specialized data lake service providers (Databricks, Snowflake). The market is characterized by intense competition, focusing on innovation in areas like data governance, security, and enhanced analytics capabilities. Strategic partnerships and acquisitions are common strategies employed by companies to expand their market share and enhance their service offerings. The future of the Data Lake Services market will likely be shaped by advancements in artificial intelligence (AI) and machine learning (ML), enabling more sophisticated data analysis and insights. The increasing demand for real-time analytics and the integration of data lake services with other cloud-based platforms will further drive market growth in the coming years. The focus on addressing data security and governance concerns will also be crucial for continued market expansion.

1040 Active Global Google suppliers, manufacturers list and Global Google exporters directory compiled from actual Global export shipments of Google.

This statistic shows the results of a survey conducted in the United States in 2018 on popular cloud service provider for private purpose. Some 41 percent of respondents state Google is their cloud service provider. The Survey Data Table for the Statista survey Cybersecurity in the United States 2018 contains the complete tables for the survey including various column headings.

According to data collected in the first half of 2021, five leading tech firms accounted for more than half of global data traffic. Google accounted for around a fifth of global data traffic, with its share including traffic driven by its subsidiary video platform YouTube. Google is followed by Facebook with a share of around 15 percent, while Netflix accounts for around 9 percent of traffic.

The Data Lake Solution Vendor market is experiencing robust growth, driven by the escalating need for organizations to store and analyze massive volumes of diverse data types. The market's expansion is fueled by several key factors, including the increasing adoption of cloud-based solutions offering scalability and cost-effectiveness, the rise of big data analytics initiatives across various industries (healthcare, finance, retail, etc.), and the growing demand for real-time data processing capabilities. While on-premises solutions continue to hold a significant market share, especially in sectors prioritizing data security and regulatory compliance, the cloud-based segment is witnessing the fastest growth, propelled by its inherent flexibility and pay-as-you-go pricing models. Competition is fierce, with established players like Amazon Web Services, Microsoft Azure, and Google Cloud Platform vying for market dominance alongside specialized data lake vendors such as Cloudera, Databricks, and Snowflake. The market is further segmented by application, with healthcare, finance, and telecommunications demonstrating particularly high adoption rates. Geographic expansion is another key trend, with North America currently holding the largest market share due to early adoption and technological advancements. However, regions like Asia-Pacific are projected to witness rapid growth in the coming years fueled by increasing digitalization and infrastructure development. Challenges remain, including data governance complexities, security concerns related to sensitive data, and the need for skilled professionals to manage and interpret data lake insights effectively. The forecast period (2025-2033) anticipates continued expansion, albeit at a potentially moderating CAGR compared to the historical period (2019-2024), as the market matures. This moderation doesn't signify a slowdown but rather a natural progression toward a more sustainable growth trajectory. The hybrid deployment model is likely to gain traction, providing a balanced approach combining the benefits of on-premises security and cloud scalability. Open-source solutions, while offering cost advantages, might experience slower growth due to complexities in implementation and maintenance. Successful vendors will be those who effectively address the challenges of data security, governance, and integration, while simultaneously offering robust, user-friendly platforms capable of handling the ever-increasing volume, velocity, and variety of data. Continued innovation in areas such as AI and machine learning integration will be crucial for driving future market growth.

The global Big Data Platform market, valued at $57.9 billion in 2025, is projected to experience robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 9.1% from 2025 to 2033. This expansion is driven by several key factors. The increasing volume and velocity of data generated across various sectors, coupled with the growing need for advanced analytics and real-time insights, are fueling market demand. Businesses across Banking, Manufacturing, Professional Services, and Government are actively adopting Big Data Platforms to improve operational efficiency, enhance decision-making, and gain a competitive edge. The shift towards cloud-based solutions, offering scalability and cost-effectiveness, further accelerates market growth. Technological advancements in areas like artificial intelligence (AI) and machine learning (ML) are integrating seamlessly with Big Data Platforms, expanding their capabilities and applications. Furthermore, the rising adoption of Internet of Things (IoT) devices is generating massive datasets, creating a significant opportunity for Big Data Platform providers. However, market growth is not without its challenges. Data security and privacy concerns remain a significant restraint, demanding robust security measures and compliance with evolving regulations. The complexity of implementing and managing Big Data Platforms, along with the need for skilled professionals, can pose barriers to entry for some organizations. Despite these challenges, the long-term outlook for the Big Data Platform market remains positive, driven by continuous technological innovation and the increasing reliance on data-driven decision-making across industries. The market's segmented nature, encompassing cloud-based and on-premise solutions across diverse application areas and geographic regions, presents significant opportunities for both established players like Microsoft, Google, AWS, and IBM, and emerging technology companies. The competitive landscape is dynamic, with ongoing innovation and consolidation shaping the future of the market.

The Data Warehouse Service market is experiencing robust growth, driven by the increasing need for businesses to analyze large volumes of data for improved decision-making. The market's expansion is fueled by several factors, including the rising adoption of cloud-based solutions offering scalability and cost-effectiveness compared to on-premises deployments. Furthermore, the growth of big data analytics and business intelligence (BI) tools is creating a significant demand for efficient data warehousing solutions. Large enterprises are leading the adoption, leveraging data warehousing to gain competitive advantages through better insights into customer behavior, operational efficiency, and market trends. However, SMEs are also increasingly adopting these services, driven by the availability of affordable and easy-to-use cloud-based solutions. The market is segmented by deployment type (on-premises and cloud-based) and application (large enterprises and SMEs). The cloud-based segment is projected to dominate due to its flexibility and scalability. Geographic expansion is another key driver, with North America and Europe currently holding significant market share, but Asia-Pacific is expected to witness substantial growth due to increasing digitalization and technological advancements in emerging economies like India and China. While data security and integration complexities pose challenges, the market's overall trajectory remains positive, with a projected Compound Annual Growth Rate (CAGR) signifying substantial expansion over the forecast period (2025-2033). The competitive landscape is characterized by a mix of established players like Amazon, Oracle, Google, and Tencent, alongside specialized data warehousing providers and emerging technology companies. The market is witnessing intense competition, leading to continuous innovation in terms of features, pricing, and deployment models. Key players are focusing on strategic partnerships and acquisitions to expand their market reach and service offerings. The future of the Data Warehouse Service market is promising, driven by ongoing technological advancements such as artificial intelligence (AI) and machine learning (ML) integration within data warehousing solutions. This integration enhances analytical capabilities, enabling businesses to extract more actionable insights from their data. The market's growth is also influenced by increasing regulatory compliance requirements related to data privacy and security, leading to greater demand for secure and compliant data warehousing solutions.

Recent developments include: In February 2023, Google Cloud and Redox joined forces to streamline the sharing of healthcare data, empowering organizations to enhance decision-making processes with greater speed and accuracy. As part of this collaboration, Redox duplicated its platform on Google Cloud, granting Google Cloud users access to Redox's comprehensive range of products, services, and expertise. , In July 2022, Mayo Clinic and Mercy entered into a 10-year collaboration agreement, marking the first-ever alliance between two major health care systems. This partnership leveraged the latest data science and extensive de-identified patient outcomes to detect diseases at an earlier stage and expedite patients' journey to improved health. , In May 2019, Johnson & Johnson's electrophysiology-focused Biosense Webster division, which manufactures heart-mapping hardware and ablation catheters for treating cardiac arrhythmias, launched a cloud-based network. This network is designed to connect the various devices used in the field and facilitate the sharing of data used in practice. .

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 AI training data market is experiencing robust growth, driven by the escalating demand for advanced AI applications across diverse sectors. The market's expansion is fueled by the increasing adoption of machine learning (ML) and deep learning (DL) algorithms, which require vast quantities of high-quality data for effective training. Key application areas like autonomous vehicles, healthcare diagnostics, and personalized recommendations are significantly contributing to market expansion. The market is segmented by application (IT, Automotive, Government, Healthcare, BFSI, Retail & E-commerce, Others) and data type (Text, Image/Video, Audio). While North America currently holds a dominant market share due to the presence of major technology companies and robust research & development activities, the Asia-Pacific region is projected to witness the fastest growth rate in the coming years, propelled by rapid digitalization and increasing investments in AI infrastructure across countries like China and India. The competitive landscape is characterized by a mix of established technology giants and specialized data annotation companies, each vying for market dominance through innovative data solutions and strategic partnerships. Significant restraints include the high cost of data acquisition and annotation, concerns about data privacy and security, and the need for specialized expertise in data management and labeling. However, advancements in automated data annotation tools and the emergence of synthetic data generation techniques are expected to mitigate some of these challenges. The forecast period of 2025-2033 suggests a continued upward trajectory for the market, driven by factors such as increasing investment in AI research, expanding adoption of cloud-based AI platforms, and the growing need for personalized and intelligent services across numerous industries. While precise figures for market size and CAGR are unavailable, a conservative estimate, considering industry trends and recent reports on similar markets, would project a substantial compound annual growth rate (CAGR) of around 20% from 2025, resulting in a market value exceeding $50 billion by 2033.

The Google Workspace Business Tools market, encompassing applications like Gmail, Docs, Sheets, and Drive, is experiencing robust growth fueled by the increasing adoption of cloud-based solutions and the rising demand for collaborative work environments. The market's expansion is driven by several key factors, including the enhanced productivity and efficiency offered by integrated tools, the accessibility provided by mobile and web interfaces, and the growing need for secure data storage and sharing. While precise market sizing data is not provided, considering the extensive market penetration of Google Workspace and the overall growth in the SaaS (Software as a Service) market, a reasonable estimate for the 2025 market value would be in the range of $10 billion to $15 billion, potentially reaching $20 billion by 2030. This estimate considers factors such as the robust growth in cloud computing, the increasing number of businesses adopting digital workspaces, and the global expansion of internet connectivity. Growth is primarily driven by adoption among small and medium-sized enterprises (SMEs), given Google Workspace's competitive pricing and ease of use compared to more complex enterprise solutions. However, large enterprises contribute significantly to the overall market value due to their higher purchasing power and complex business needs that Google Workspace addresses with its advanced features and integrations. The market faces some challenges, including competition from established players like Microsoft 365 and Salesforce, as well as security concerns related to data breaches and privacy. However, Google's continuous innovation, ongoing improvements to security protocols, and strategic partnerships are mitigating these risks. Future growth will likely be driven by further integration with other Google services, the expansion of AI-powered features, and increasing demand for tailored solutions for specific industries. This will solidify Google Workspace's position as a leading provider of collaborative business tools and further expand its market share. Regionally, North America and Europe will continue to dominate the market, owing to high levels of digitalization and adoption of cloud technologies. However, rapid growth is anticipated in the Asia-Pacific region driven by increasing internet penetration and economic growth in emerging markets.