AWS Lake Formation Description
AWS Lake Formation makes it simple to create a secure data lake in a matter of days. A data lake is a centrally managed, secured, and curated repository that stores all of your data. It can be both in its original form or prepared for analysis. Data lakes allow you to break down data silos, combine different types of analytics, and gain insights that will guide your business decisions. It is a time-consuming, manual, complex, and tedious task to set up and manage data lakes. This includes loading data from different sources, monitoring data flows, setting partitions, turning encryption on and managing keys, defining and monitoring transformation jobs, reorganizing data in a columnar format, deduplicating redundant information, and matching linked records. Once data has been loaded into a data lake, you will need to give fine-grained access and audit access over time to a wide variety of analytics and machine learning tools and services.
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- How engineering teams use real-time customer data to achieve business goals.
- How to elevate your business to a new level of engineering efficiency with AI.
- Strategies used by engineering teams at Instacart, Staples Canada, Televisa Univision, CrossFit, and ClearScore to improve KPIs and drive efficiencies.