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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Data discovery with AWS Glue

One of the unique features that sets AWS Glue apart from other ETL tools is its ability to create a centralized data catalog. This catalog is crucial for performing data discovery and relies on two important components of Glue:

Glue Data Catalog
Glue Data Crawler

AWS Glue Data Catalog

A data catalog is a centralized storage of metadata for data stored in different data stores, such as data lakes, data warehouses, relational databases, and non-relational databases. The metadata contains information about columns, data formats, locations, and serialization/deserialization mechanisms. Hive Metastore is one of the most popular metadata products used in the industry. However, it uses relational database management systems (RDBMSs) such as MySQL and PostgreSQL. The problem with using an RDBMS for Hive metadata is managing and maintaining it, especially for production workloads where high availability, scaling, and redundancy must be taken...

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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

Data discovery with AWS Glue

AWS Glue Data Catalog

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