You're reading from Data Wrangling on AWS

Product typeBook

Published inJul 2023

PublisherPackt

ISBN-139781801810906

Edition1st Edition

Tools

AWS

Concepts

Data Analysis

Authors (3):

Navnit Shukla

Sankar M

Sampat Palani

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Advanced data discovery and data structuring with Athena

In this section, we will explore how Amazon Athena helps in performing advanced data discovery and data structuring phases of the data wrangling pipeline.

SQL-based data discovery with Athena

Amazon Athena provides SQL-based data exploration and supports advanced data types as well. The advantage here is that even people with no coding expertise can explore data with familiar SQL syntax on multiple formats of data and different storage types.

Before we query data using Amazon Athena, we need to create metadata for the table in the Glue catalog. Amazon Athena helps you to query data from different data sources, as follows:

AWS Glue catalog—Access tables that are available in the AWS Glue catalog. We can create tables in the AWS Glue catalog in multiple ways, which we will explore later in this chapter.
Federated data sources—Supports querying data from Apache Hive, AWS, and third-party databases...

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Data Wrangling on AWS

Published in: Jul 2023Publisher: PacktISBN-13: 9781801810906

Authors (3)

Navnit Shukla

Navnit Shukla is an accomplished Senior Solution Architect with a specialization in AWS analytics. With an impressive career spanning 12 years, he has honed his expertise in databases and analytics, establishing himself as a trusted professional in the field. Currently based in Orange County, CA, Navnit's primary responsibility lies in assisting customers in building scalable, cost-effective, and secure data platforms on the AWS cloud.
Read more about Navnit Shukla

Sankar M

Sankar Sundaram has been working in IT Industry since 2007, specializing in databases, data warehouses, analytics space for many years. As a specialized Data Architect, he helps customers build and modernize data architectures and help them build secure, scalable, and performant data lake, database, and data warehouse solutions. Prior to joining AWS, he has worked with multiple customers in implementing complex data architectures.
Read more about Sankar M

Sampat Palani

Sam Palani has over 18+ years as developer, data engineer, data scientist, a startup cofounder and IT leader. He holds a master's in Business Administration with a dual specialization in Information Technology. His professional career spans across 5 countries across financial services, management consulting and the technology industries. He is currently Sr Leader for Machine Learning and AI at Amazon Web Services, where he is responsible for multiple lines of the business, product strategy and thought leadership. Sam is also a practicing data scientist, a writer with multiple publications, speaker at key industry conferences and an active open source contributor. Outside work, he loves hiking, photography, experimenting with food and reading.
Read more about Sampat Palani

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You're reading from Data Wrangling on AWS

Advanced data discovery and data structuring with Athena

SQL-based data discovery with Athena

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