You're reading from AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

Product typeBook

Published inMar 2021

Reading LevelBeginner

PublisherPackt

ISBN-139781800569003

Edition1st Edition

Languages

Python

Tools

Azure Functions

Concepts

Machine Learning

Authors (2):

Somanath Nanda

Weslley Moura

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Storing columnar data on Amazon Redshift

Amazon Redshift is not used for real-time transaction use, but it is used for data warehouse purposes. It is designed to support huge volumes of data at a petabyte scale. It is a column-based database used for analytics purpose, long-term processing, tending, and aggregation. Redshift Spectrum can be used to query data on S3 without loading data to the Redshift cluster (a Redshift cluster is required though). It's not an OLTP, but an OLAP. AWS QuickSight can be integrated with Redshift for visualization, with a SQL-like interface that allows you to connect using JDBC/ODBC connections for querying the data.

Redshift uses a clustered architecture in one AZ in a VPC with faster network connectivity between the nodes. It is not high availability by design as it is tightly coupled to the AZ. A Redshift cluster has a Leader Node, and this node is responsible for all the communication between the client and the computing nodes of the cluster...

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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

Published in: Mar 2021Publisher: PacktISBN-13: 9781800569003

Authors (2)

Somanath Nanda

Somanath has 10 years of working experience in IT industry which includes Prod development, Devops, Design and architect products from end to end. He has also worked at AWS as a Big Data Engineer for about 2 years.
Read more about Somanath Nanda

Weslley Moura

Weslley Moura has been developing data products for the past decade. At his recent roles, he has been influencing data strategy and leading data teams into the urban logistics and blockchain industries.
Read more about Weslley Moura

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Storing columnar data on Amazon Redshift

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