Central storage: Amazon S3 as the data lake storage platform
A data lake built on AWS uses Amazon S3 as its primary storage platform. Amazon S3 provides an optimal foundation for a data lake because of its virtually unlimited scalability and high durability. You can seamlessly and non-disruptively increase storage from gigabytes to petabytes of content, paying only for what you use.
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.
Storage Best Practices for Data and Analytics Applications
2021年11月16日 · Using the data lake built on Amazon S3 architecture capabilities you can: Ingest and store data from a wide variety of sources into a centralized platform. 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.
Data lake foundation - Storage Best Practices for Data and …
Amazon S3 provides the foundation for building a data lake, along with integration to other services that can be tailored to your business needs. A common challenge faced by users when building a data lake is the categorization of data and maintaining data across different stages as it goes through the transformation process.
Build a Data Lake Foundation with AWS Glue and Amazon S3
2017年10月27日 · This post demonstrates how easy it is to build the foundation of a data lake using AWS Glue and Amazon S3. By using AWS Glue to crawl your data on Amazon S3 and build an Apache Hive-compatible metadata store, you can use the metadata across the AWS analytic services and popular Hadoop ecosystem tools.
What is a Data Lake? - Introduction to Data Lakes and Analytics - AWS
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.
How to Design Data Lake on AWS S3 | by Thana B. - Medium
2024年4月1日 · This article will guide you through the best practices for designing your data lake on AWS S3, focusing on common design zones, folder structures, and efficient data partitioning for...
Amazon S3 adds new capabilities for data lakes - TechTarget
4 天之前 · Amazon S3 Tables enables S3 objects to become tabular data stored in Apache Iceberg for data lake creation. AWS fully manages the service. Amazon S3 Metadata automatically generates object metadata related to data governance and information. Both features require that customers opt in at either the time of bucket creation or afterward.
Analyze data streams with serverless Apache Flink or SQL. 2. Implementing security & data governance. Identity and access management. AWS IAM provides access control across Amazon S3, all of AWS services and resources. Encryption at rest and in-motion with flexible key management options. Supports both, server-side and client-side encryption.
A data lake built on AWS uses Amazon S3 as its primary storage platform. Amazon S3 provides an optimal foundation for a data lake because of its virtually unlimited scalability and high durability.