Analytics on AWS
From fast and cost-effective data warehousing to petabyte-scale data processing, modern business intelligence, and real-time streaming, AWS offers a broad selection of analytics capabilities optimized for price performance and scale.
What is a Data Lake? - Introduction to Data Lakes and Analytics
Data lakes allow you to store relational data like operational databases and data from line of business applications, and non-relational data like mobile apps, IoT devices, and social media. They also give you the ability to understand what data is in the lake through crawling, cataloging, and indexing of data.
Data Lakes on AWS
With data lakes built on Amazon S3, you can use native AWS services to run big data analytics, artificial intelligence (AI), ML, high-performance computing (HPC) and media data processing applications to gain insights from your unstructured datasets.
Data Lakes and Analytics | AWS
AWS provides the most secure, scalable, comprehensive, and cost-effective portfolio of services that enable customers to build their data lake in the cloud, analyze all their data, including data from IoT devices with a variety of analytical approaches including machine learning.
Free Analytics Services – Free Data Lakes – AWS
Try out the AWS Analytics and Data Lakes offerings for free using the AWS Free Tier, including data warehousing, ElasticSearch, object storage, data lakes, and interactive analytics services.
• Build a comprehensive data catalog to find and use data assets stored in the data lake. • Secure, protect, and manage all of the data stored in the data lake. • Use tools and policies to monitor, analyze, and optimize infrastructure and data.
Data Integration Capabilities - Amazon Data Lakes and Analytics
AWS data integration capabilities enable you to connect and prepare all your data for analytics and artificial intelligence and machine learning (AI/ML) workloads, maintain the quality of your data, and the health of your data pipelines.
Simplify analytics and AI/ML with new Amazon SageMaker …
2024年12月3日 · Unifying data silos, Amazon SageMaker Lakehouse seamlessly integrates S3 data lakes and Redshift warehouses, enabling unified analytics and AI/ML on a single data copy through open Apache Iceberg APIs and fine-grained access controls.
Data Governance with AWS - Amazon Data Lakes and Analytics
Data governance with AWS helps organizations accelerate data-driven decisions by making it easy for the right people and applications to securely and safely find, access, and share the right data when they need it.
Storage Best Practices for Data and Analytics Applications
2021年11月16日 · Data lakes, powered by Amazon S3, provide you with unmatched availability, agility, and flexibility required to combine different types of data and analytics approaches to gain deeper insights, in ways that traditional data silos and data warehouses cannot.