You're reading from Amazon Redshift Cookbook

Product typeBook

Published inJul 2021

Reading LevelBeginner

PublisherPackt

ISBN-139781800569683

Edition1st Edition

Languages

Python

Tools

Amazon Redshift

Concepts

Data Analysis

Authors (3):

Shruti Worlikar

Thiyagarajan Arumugam

Harshida Patel

View More author details

Building a data lake catalog using AWS Lake Formation

The data lake design pattern has been widely adopted in the industry. Data lakes help to break data silos by allowing you to store all of your data in a single, unified place. You can collect the data from different sources and data can arrive at different frequencies—for example, clickstream data. The data format can be structured, unstructured, or semi-structured. Analyzing a unified view of the data allows you to derive more value and helps to derive more insight from the data to drive business value.

Your data lake should be secure and should meet your compliance requirements, with a centralized catalog that allows you to search and easily find data that is stored in the lake. One of the advantages of data lakes is that you can run a variety of analytical tools against them. You may also want to do new types of analysis on your data. For example, you may want to move from answering questions on what happened in the...

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Amazon Redshift Cookbook

Published in: Jul 2021Publisher: PacktISBN-13: 9781800569683

Authors (3)

Shruti Worlikar

Shruti Worlikar is a cloud professional with technical expertise in data lakes and analytics across cloud platforms. Her background has led her to become an expert in on-premises-to-cloud migrations and building cloud-based scalable analytics applications. Shruti earned her bachelor's degree in electronics and telecommunications from Mumbai University in 2009 and later earned her masters' degree in telecommunications and network management from Syracuse University in 2011. Her work history includes work at J.P. Morgan Chase, MicroStrategy, and Amazon Web Services (AWS). She is currently working in the role of Manager, Analytics Specialist SA at AWS, helping customers to solve real-world analytics business challenges with cloud solutions and working with service teams to deliver real value. Shruti is the DC Chapter Director for the non-profit Women in Big Data (WiBD) and engages with chapter members to build technical and business skills to support their career advancements. Originally from Mumbai, India, Shruti currently resides in Aldie, VA, with her husband and two kids.
Read more about Shruti Worlikar

Thiyagarajan Arumugam

Thiyagarajan Arumugam (Thiyagu) is a principal big data solution architect at AWS, architecting and building solutions at scale using big data to enable data-driven decisions. Prior to AWS, Thiyagu as a data engineer built big data solutions at Amazon, operating some of the largest data warehouses and migrating to and managing them. He has worked on automated data pipelines and built data lake-based platforms to manage data at scale for the customers of his data science and business analyst teams. Thiyagu is a certified AWS Solution Architect (Professional), earned his master's degree in mechanical engineering at the Indian Institute of Technology, Delhi, and is the author of several blog posts at AWS on big data. Thiyagu enjoys everything outdoors – running, cycling, ultimate frisbee – and is currently learning to play the Indian classical drum the mrudangam. Thiyagu currently resides in Austin, TX, with his wife and two kids.
Read more about Thiyagarajan Arumugam

Harshida Patel

Harshida Patel is a senior analytics specialist solution architect at AWS, enabling customers to build scalable data lake and data warehousing applications using AWS analytical services. She has presented Amazon Redshift deep-dive sessions at re:Invent. Harshida has a bachelor's degree in electronics engineering and a master's in electrical and telecommunication engineering. She has over 15 years of experience architecting and building end-to-end data pipelines in the data management space. In the past, Harshida has worked in the insurance and telecommunication industries. She enjoys traveling and spending quality time with friends and family, and she lives in Virginia with her husband and son.
Read more about Harshida Patel

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Building a data lake catalog using AWS Lake Formation

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