A data lake is a centralized repository for storing and analyzing structured, semi-structured, and unstructured data at scale for analysis and data processing. It enables organizations to store large volumes of data in its raw form and perform analytics and machine learning on diverse datasets. Readers can explore how data lakes empower organizations to store and analyze data from various sources, including IoT devices, social media, and enterprise applications, to gain  insights and drive data-driven decision-making.

Data Lake

Syncing Postgres Partitions to Your Data Lake...

How the Telegraph built a Single Customer View on Google Cloud

The Architect’s Guide: A Modern Data Lake Reference Architecture

Building an Enterprise Data Lake with Snowflake Data Cloud & Azure using the SDLS Framework.

Introducing Tableflow: Unifying Streaming and Analytics

Modernizing Your Data Platform: An Introductory Overview

CloudWatch Metric Streams adds support for streaming of daily metrics

AWS Lake Formation is now available in the Canada West (Calgary) Region

Data Solutions Framework: An Open Source Project for Building Data Solutions on AWS

Mastering Predictive Analytics: Powering Engines for Continual Insight