Data and analytics have become a competitive differentiator and a primary source of value generation for organizations. However, transforming data into a valuable corporate asset is a complex topic that can easily entail the use of dozens of technologies, tools, and environments. AWS provides the broadest and deepest set of managed services for data lakes and analytics, along with the largest partner community to help you build virtually any data and analytics application in the Cloud.
AWS Data and Analytics Competency Partners have demonstrated success in helping customers evaluate and use the tools and best practices for collecting, storing, governing, and analyzing data at any scale.
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Search for AWS Data and Analytics Competency Partners by category
Partners in this category provide a set of tightly integrated tools designed to work together to solve data analytics challenges within a standardized framework. Data analytics platforms allow a diverse set of technologies to procure resources and applications on top of it.
Partners in this category provide highly-scalable, databases that organize data into a structure that is not a traditional RDBMS.
Partners in this category enable customers to move and consolidate data from disparate sources, transform it, and prepare it for analytics. This includes extract, transform, and load (ETL), data quality, profiling, replication, preparation, and related technologies.
Partners in this category help customers turn raw data into actionable business information using online analytic processing technologies, such as reporting, dashboarding, and data visualization.
Partners in this category help customers discover, categorize, and control their data. This includes defining and enforcing policies; security, management of personal information; creating data catalogs and glossaries; data lineage, data masking, and secure data federation.
AWS Competency Partners offering consulting services have demonstrated deep AWS technical expertise and proven customer success in specialized areas across industry, use case, and workload.
Connect with AWS Data and Analytics Competency Partners
Drive innovation, meet business objectives, and get the most out of your AWS services by partnering with technically validated AWS Partners.
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Additional Resources
Discover more AWS Data and Analytics Competency Partner solutions and resources.
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Transform Data Into Valuable Corporate Assets
Explore AWS Data and Analytics Competency Partner eBooks, webinars, customer success stories, and more.
Data Lakes Resources
Store massive amounts of data in a central location and make it available to be categorized, analyzed, and consumed by diverse groups.
Data Warehouse Modernization Resources
Modernize your data warehouse with Amazon Redshift and partner solutions to help you migrate, collect, transform, and visualize all your data.
Data Governance Resources
Drive business value from your data and reduce risks from personally identifiable information with a de-identified data lake.
Real-time Analytics Resources
Turn streaming data into immediately actionable insights for accelerated decision making.
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Sajin Jacob, Jerry Chen, Siddarth Mohanram, Luis Barbier, Kristen Chenowith and Michelle Stahl, Arun Pradeep Selvaraj, Ryan Doty, 02/20/2025Verisk’s Premium Audit Advisory Service is the leading source of technical information and training for premium auditors and underwriters. In this post, we describe the development of the customer support process in PAAS, incorporating generative AI, the data, the architecture, and the evaluation of the results. Conversational AI assistants are rapidly transforming customer and employee support.
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Florian Seidel, André Schmidt, Vineet Singh, Carlo Degli Atti Panzeri, 02/19/2025In this post, we explore how BMW Group used AWS analytics services, AWS Partner solutions, and Amazon QuickSight to build the Shop Floor Business Intelligence (SFBI) initiative.
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Deepmala Agarwal, Kashif Khan, Mandisa Nxumalo, Ravi Kumar Singh, Gaurav Sharma, 02/19/2025Amazon EMR has introduced new features for instance fleets that address critical challenges in big data operations. This post explores how these innovations improve cluster resilience, scalability, and efficiency, enabling you to build more robust data processing architectures on AWS.
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Raks Khare, Jyoti Aggarwal, Gopal Paliwal, Harman Nagra, Sumanth Punyamurthula, 02/18/2025This post will explore brief history of zero-ETL, its importance for customers, and introduce an exciting new feature: history mode for Amazon Aurora PostgreSQL-Compatible Edition, Amazon Aurora MySQL-Compatible Edition, Amazon Relational Database Service (Amazon RDS) for MySQL, and Amazon DynamoDB zero-ETL integration with Amazon Redshift.
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Charishma Makineni, Phaneendra Vuliyaragoli, 02/18/2025In this post, we demonstrate how to build a scalable AWS WAF log analysis solution using Firehose and Apache Iceberg. Firehose simplifies the entire process—from log ingestion to storage—by allowing you to configure a delivery stream that delivers AWS WAF logs directly to Apache Iceberg tables in Amazon S3. The solution requires no infrastructure setup and you pay only for the data you process.
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