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

View More author details

What is a data lake?

A data lake is a centralized repository that allows organizations to store all of their structured and unstructured data at any scale. This approach to data storage and management provides organizations with a single, unified platform for storing and managing data from a variety of different sources, including social media, sensors, and transactional systems.

Data lakes are designed to support the storage of large amounts of data in its raw format, allowing it to be processed and analyzed at a later stage by various teams within the organization. This approach to data storage and management provides organizations with the flexibility to collect and store data from a wide range of sources, without the need to preprocess or structure the data in any specific way.

One of the key benefits of using a data lake is that it allows organizations to store and manage data from a variety of different sources, including both structured and unstructured data. This means...

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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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What is a data lake?

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