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Data Wrangling on AWS
Data Wrangling on AWS

Data Wrangling on AWS: Clean and organize complex data for analysis

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Profile Icon Shukla Profile Icon Sankar M Profile Icon Sam Palani
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$12.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9 (8 Ratings)
Paperback Jul 2023 420 pages 1st Edition
eBook
$31.99
Paperback
$39.99
Subscription
Free Trial
Renews at $12.99p/m
Arrow left icon
Profile Icon Shukla Profile Icon Sankar M Profile Icon Sam Palani
Arrow right icon
$12.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9 (8 Ratings)
Paperback Jul 2023 420 pages 1st Edition
eBook
$31.99
Paperback
$39.99
Subscription
Free Trial
Renews at $12.99p/m
eBook
$31.99
Paperback
$39.99
Subscription
Free Trial
Renews at $12.99p/m

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Key benefits

  • Execute extract, transform, and load (ETL) tasks on data lakes, data warehouses, and databases
  • Implement effective Pandas data operation with data wrangler
  • Integrate pipelines with AWS data services

Description

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.

Who is this book for?

This book is for data engineers, data scientists, and business data analysts looking to explore the capabilities, tools, and services of data wrangling on AWS for their ETL tasks. Basic knowledge of Python, Pandas, and a familiarity with AWS tools such as AWS Glue, Amazon Athena is required to get the most out of this book.

What you will learn

  • Explore how to write simple to complex transformations using AWS data wrangler
  • Use abstracted functions to extract and load data from and into AWS datastores
  • Configure AWS Glue DataBrew for data wrangling
  • Develop data pipelines using AWS data wrangler
  • Integrate AWS security features into Data Wrangler using identity and access management (IAM)
  • Optimize your data with AWS SageMaker

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 31, 2023
Length: 420 pages
Edition : 1st
Language : English
ISBN-13 : 9781801810906
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Amazon
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Product Details

Publication date : Jul 31, 2023
Length: 420 pages
Edition : 1st
Language : English
ISBN-13 : 9781801810906
Vendor :
Amazon
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


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Total $ 141.97
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Full star icon Full star icon Full star icon Full star icon Half star icon 4.9
(8 Ratings)
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4 star 12.5%
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Miroslaw Banasiak Feb 15, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Feefo Verified review Feefo
Pavan Pusuluri Sep 28, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Data Wrangling on AWS" provides a comprehensive and insightful guide to the intricate world of data management within Amazon Web Services (AWS). This book demystifies the complexities of data wrangling, making it accessible to both newcomers and seasoned professionals.One of the standout features of the book is its ability to address a wide spectrum of users. Whether you're a data engineer, data scientist, or business analyst, the book caters to your specific needs by offering relevant insights and real-world scenarios.From extracting data from various sources to performing data cleansing and shaping operations, the book's step-by-step approach ensures that you're equipped to handle diverse data challenges.Whether you're aiming to refine your data management skills or seeking to unlock the power of AWS for your data driven endeavors, this book serves as an invaluable companion on your journey !
Amazon Verified review Amazon
Naresh Aug 22, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is one of the most precise and curated version of a book which deals with complex data sets. If you deal with data this book is the one to read and understand the concepts of data analysis in depth
Amazon Verified review Amazon
Om S Aug 11, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
"Data Wrangling on AWS" offers an insightful journey into the realm of data transformation, redefining raw and unruly data into organized, structured information. This review sheds light on the book's key features and invaluable insights!!Effortless ETL Mastery: The book's focus on extract, transform, and load (ETL) tasks across data lakes, warehouses, and databases unlocks a new level of proficiency in data handling.Pandas-Powered Data Operation: With a spotlight on Pandas data operation using data wrangler, readers are empowered to wield the prowess of Python's renowned data manipulation library for effective data wrangling.Seamless AWS Integration: The integration of AWS data services into pipelines is masterfully explained, enabling readers to harness the full potential of AWS in their data wrangling endeavors.The book dives deep into the art of data wrangling, illuminating the significance of cleaning, transforming, and structuring unstructured data. Guided by the book's comprehensive insights, readers are introduced to AWS Glue DataBrew, AWS data wrangler, AWS Sagemaker, and various other services within the AWS ecosystem.The exploration doesn't stop there; advanced topics, including performing Pandas data operations with AWS data wrangler, optimizing ML data using AWS SageMaker, and building data warehouses with Glue DataBrew, are thoroughly covered. Security and monitoring aspects are also thoughtfully addressed, ensuring a holistic understanding of data wrangling.
Amazon Verified review Amazon
J. Reis Oct 05, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
If you’re doing data wrangling on AWS, definitely get this book. The authors did a wonderful and very thoughtful job showing you the gory details on AWS.- Joe Reis
Amazon Verified review Amazon
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