Navnit Shukla, Sankar M, Sampat Palani

Data Wrangling on AWS (eBook, ePUB)

Clean and organize complex data for analysis

• Format: ePub

Produktbeschreibung

Data wrangling is the process of cleaning, transforming, and organizing raw, messy, or unstructured data into a structured format. It involves processes such as data cleaning, data integration, data transformation, and data enrichment to ensure that the data is accurate, consistent, and suitable for analysis. Data Wrangling on AWS equips you with the knowledge to reap the full potential of AWS data wrangling tools.
First, you'll be introduced to data wrangling on AWS and will be familiarized with data wrangling services available in AWS. You'll understand how to work with AWS Glue DataBrew, AWS data wrangler, and AWS Sagemaker. Next, you'll discover other AWS services like Amazon S3, Redshift, Athena, and Quicksight. Additionally, you'll explore advanced topics such as performing Pandas data operation with AWS data wrangler, optimizing ML data with AWS SageMaker, building the data warehouse with Glue DataBrew, along with security and monitoring aspects.
By the end of this book, you'll be well-equipped to perform data wrangling using AWS services.

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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 420
• Erscheinungstermin: 31. Juli 2023
• Englisch
• ISBN-13: 9781801817660
• Artikelnr.: 70032260

Autorenporträt

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.