Data Wrangling on AWS Clean and Organize Complex Data for Analysis
Description
More Details
Notes
Also in this Series
Reviews from GoodReads
Citations
Shukla, N., M, S., & Palani, S. (2023). Data Wrangling on AWS: Clean and Organize Complex Data for Analysis (1st edition.). Packt Publishing, Limited.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Shukla, Navnit, Sankar. M and Sam. Palani. 2023. Data Wrangling On AWS: Clean and Organize Complex Data for Analysis. Birmingham: Packt Publishing, Limited.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Shukla, Navnit, Sankar. M and Sam. Palani. Data Wrangling On AWS: Clean and Organize Complex Data for Analysis Birmingham: Packt Publishing, Limited, 2023.
Harvard Citation (style guide)Shukla, N., M, S. and Palani, S. (2023). Data wrangling on AWS: clean and organize complex data for analysis. 1st edn. Birmingham: Packt Publishing, Limited.
MLA Citation, 9th Edition (style guide)Shukla, Navnit., Sankar M, and Sam Palani. Data Wrangling On AWS: Clean and Organize Complex Data for Analysis 1st edition., Packt Publishing, Limited, 2023.
Staff View
Grouping Information
Grouped Work ID | 5fc1424e-7c3f-12de-1bd6-7de091ed9c22-eng |
---|---|
Full title | data wrangling on aws clean and organize complex data for analysis |
Author | shukla navnit |
Grouping Category | book |
Last Update | 2025-01-24 12:33:29PM |
Last Indexed | 2025-05-22 03:18:39AM |
Book Cover Information
Image Source | default |
---|---|
First Loaded | Feb 26, 2025 |
Last Used | Apr 17, 2025 |
Marc Record
First Detected | Dec 16, 2024 11:26:58 PM |
---|---|
Last File Modification Time | Dec 17, 2024 08:26:24 AM |
Suppressed | Record had no items |
MARC Record
LEADER | 04519cam a22004817a 4500 | ||
---|---|---|---|
001 | on1392345750 | ||
003 | OCoLC | ||
005 | 20241217082357.0 | ||
006 | m o d | ||
007 | cr cnu|||||||| | ||
008 | 230805s2023 enk o 000 0 eng d | ||
019 | |a 1392044622 | ||
020 | |a 9781801817660 | ||
020 | |a 1801817669 | ||
035 | |a (OCoLC)1392345750|z (OCoLC)1392044622 | ||
037 | |a 9781801810906|b O'Reilly Media | ||
037 | |a 10251293|b IEEE | ||
040 | |a EBLCP|b eng|c EBLCP|d YDX|d ORMDA|d EBLCP|d OCLCQ|d IEEEE|d OCLCO|d TOH|d OCLCQ|d UKAHL|d OCLCF|d OCLCL|d OCLCO | ||
049 | |a MAIN | ||
050 | 4 | |a TK5105.88813 | |
082 | 0 | 4 | |a 006.7/8|2 23/eng/20230808 |
100 | 1 | |a Shukla, Navnit. | |
245 | 1 | 0 | |a Data Wrangling on AWS|h [electronic resource] :|b Clean and Organize Complex Data for Analysis /|c Navnit Shukla, Sankar M, Sam Palani. |
250 | |a 1st edition. | ||
260 | |a Birmingham :|b Packt Publishing, Limited,|c 2023. | ||
300 | |a 1 online resource (420 p.) | ||
500 | |a Description based upon print version of record. | ||
505 | 0 | |a Table of Contents Introduction to Data Wrangling on AWS Working with AWS GlueDataBrew Introducing AWS Data Wrangler Introducing Amazon SageMaker Data Wrangler Working with Amazon S3 Working with AWS Glue Working with Athena Working with Quicksight Perform Pandas operation with AWS Data Wrangler Optimizing ML data with AWS SageMaker Data Wrangler Security and Monitoring. | |
520 | |a Revamp your data landscape and implement highly effective data pipelines in AWS with this hands-on guide Purchase of the print or Kindle book includes a free PDF eBook Key Features 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 Book 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. 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 Who this book is 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. | ||
590 | |a O'Reilly|b O'Reilly Online Learning: Academic/Public Library Edition | ||
610 | 2 | 0 | |a Amazon Web Services (Firm)|9 391609 |
610 | 2 | 7 | |a Amazon Web Services (Firm)|2 fast|1 https://id.oclc.org/worldcat/entity/E39QH7JmqHK4KHDB9WvbTf77B6|9 391609 |
650 | 0 | |a Web services.|9 75016 | |
650 | 0 | |a Electronic data processing.|9 37046 | |
700 | 1 | |a M, Sankar. | |
700 | 1 | |a Palani, Sam. | |
776 | 0 | 8 | |i Print version:|a Shukla, Navnit|t Data Wrangling on AWS|d Birmingham : Packt Publishing, Limited,c2023 |
856 | 4 | 0 | |u https://library.access.arlingtonva.us/login?url=https://learning.oreilly.com/library/view/~/9781801810906/?ar|x O'Reilly|z eBook |
938 | |a Askews and Holts Library Services|b ASKH|n AH41642044 | ||
938 | |a ProQuest Ebook Central|b EBLB|n EBL30670771 | ||
938 | |a YBP Library Services|b YANK|n 305620954 | ||
994 | |a 92|b VIA | ||
999 | |c 359622|d 359622 |