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 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.

This Guidance demonstrates an automatically configured data lake on AWS using an event-driven, serverless, and scalable architecture. It leverages AWS managed services to ingest, store, process, and analyze data, offering a secure, flexible, …

Amazon S3 provides the foundation for building a data lake, along with integration to other services that can be tailored to your business needs.

2021年11月16日 · 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.

This guide describes the common scaling challenges that can occur when organizations grow their data lake, provides a data lake reference architecture, and outlines approaches for onboarding and granting access to data producers and data consumers.

Data lakes built using Amazon S3 and AWS Glue provide flexible, scalable data storage and analysis for the era of big data. This comprehensive guide walks through how to construct a robust data lake on AWS to empower data-driven decision making.

A data lake solution on AWS, at its core, leverages Amazon S3 for secure, cost-effective, durable, and scalable storage. You can quickly and easily collect data into Amazon S3 from a wide variety of sources by using services like AWS Snowball (ideal for migrating/moving data in bulk) or Amazon Kinesis (an excellent solution for ongoing collection/

2023年6月8日 · Building a data lake on AWS helps unlock the value of data, gain actionable insights, and drive innovation. However, the process of building a data lake on AWS requires thorough planning, architectural considerations, and choosing the right combination of …

Access and analyze all your data in data lakehouses, data warehouses, and data lake. Analyze, prepare, and integrate data for analytics and AI using open-source frameworks. Build, discover, and share meaningful insights through modern interactive dashboards, pixel-perfect reports, natural language queries, and embedded analytics.