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Data Lake in AWS

 Data Lake in AWS
Udemy Course Data Lake in AWS | NED
AWS provides the most secure, scalable, comprehensive, and cost-effective portfolio of services that enable customers to build their data lake in the cloud, analyze all their data, including data
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by Chandra Lingam

What you'll learn
  • Learn about Data Lake vs. Data Warehouse
  • Key components of a Data Lake Architecture
  • Query files directly using SQL
  • Hands-on integration of various AWS services
 Description

Hello, my name is Chandra Lingam, and I am your instructor for Data Lake in AWS.

In this course, we will start by understanding when a data lake is the right solution as opposed to a data warehouse.

Throughout the next two hours, you will learn all the components of a data lake.

One of its advantages is the flexibility to directly query files using SQL.

You will start by building a Glue Data catalog and using Athena to query.

Then, we will work on Glue ETL, a powerful Apache Spark-based solution for data transformation.

To demonstrate the scalability of Athena, we will query the Amazon Customer Reviews data set with over 130 million reviews.

Finally, we will build a serverless application that can process unlimited customer reviews, perform sentiment analysis, and store it in the data lake for querying.

I look forward to meeting you soon!
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