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Intro
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What is a data lake?
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A data lake architecture enables data science
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Data lakes and analytics from AWS
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Amazon Simple Storage Service (S3) Secure, highly scalable, durable object storage with millisecond latency for data access
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Most ways to transfer data into the data lake Open and comprehensive
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Most comprehensive and open
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Cloud data lakes are great for data storage Data Lake is a file system that supports
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Organizations want to operationalize To operationalize data lakes, you need features you expect on a database • Transactions
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A new standard for building data lakes
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Data reliability challenges with data lakes
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Performance challenges with data lakes
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Delta Lake: Adds Reliability & Performance
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The A DELTA LAKE
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Integration with Glue
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Integration with Redshift
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Cloud native enterprise solution
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Best practices for building a cloud data lake
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Databricks & AWS data lake implementation
Description:
Explore the process of constructing a cloud data lake using Databricks and AWS in this informative 29-minute video. Learn about the advantages of data lakes for data science and analytics, focusing on Amazon S3's secure and scalable object storage. Discover how Delta Lake addresses reliability and performance challenges in data lakes, adding database-like features such as transactions. Gain insights into best practices for cloud data lake implementation, including integrations with AWS services like Glue and Redshift. Understand the importance of operationalizing data lakes and how Databricks provides a unified data analytics platform to accelerate innovation. Through presentations, benchmarks, and code examples, acquire valuable knowledge about building efficient and effective cloud data lakes for your organization.

Building a Cloud Data Lake with Databricks and AWS - Best Practices and Implementation

Databricks
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