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Amazon Redshift Cookbook

You're reading from  Amazon Redshift Cookbook

Product type Book
Published in Jul 2021
Publisher Packt
ISBN-13 9781800569683
Pages 384 pages
Edition 1st Edition
Languages
Concepts
Authors (3):
Shruti Worlikar Shruti Worlikar
Profile icon Shruti Worlikar
LinkedIn
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.
See other products by Shruti Worlikar
Thiyagarajan Arumugam Thiyagarajan Arumugam
Profile icon Thiyagarajan Arumugam
LinkedIn
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.
See other products by Thiyagarajan Arumugam
Harshida Patel Harshida Patel
Profile icon Harshida Patel
LinkedIn
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.
See other products by Harshida Patel
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Table of Contents (13) Chapters

Preface 1. Chapter 1: Getting Started with Amazon Redshift 2. Chapter 2: Data Management 3. Chapter 3: Loading and Unloading Data 4. Chapter 4: Data Pipelines 5. Chapter 5: Scalable Data Orchestration for Automation 6. Chapter 6: Data Authorization and Security 7. Chapter 7: Performance Optimization 8. Chapter 8: Cost Optimization 9. Chapter 9: Lake House Architecture 10. Chapter 10: Extending Redshift's Capabilities 11. Other Books You May Enjoy Appendix

Loading data from Amazon EMR

Amazon Elastic Map Reduce (EMR) allows you to execute big data frameworks such as Apache Hadoop and Apache Spark on AWS managed infrastructure. Amazon EMR is used for both batch and near-real-time processing as part of an analytical data pipeline.

In this recipe, we will see how to leverage Amazon EMR to load data into the customer table on Amazon Redshift using the COPY command.

Getting ready

To complete this recipe, you will need to do the following:

  • Ensure you have access to the AWS Console.
  • Deploy an Amazon Redshift cluster in AWS region eu-west-1.
  • Create Amazon Redshift cluster master user credentials.
  • Gain access to any SQL interface, such as a SQL client or the Amazon Redshift Query Editor.
  • Deploy an Amazon EMR cluster in AWS region eu-west-1. Refer to https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-gs.html to set up an EMR cluster.
  • Ensure you have open connectivity between the Amazon EMR cluster and...
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Authors (3)

Left arrow icon
Profile icon Shruti Worlikar
LinkedIn
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
See other products by Shruti Worlikar
Profile icon Thiyagarajan Arumugam
LinkedIn
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
See other products by Thiyagarajan Arumugam
Profile icon Harshida Patel
LinkedIn
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
See other products by Harshida Patel
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