{"product_id":"data-wrangling-on-aws-clean-and-organize-complex-data-for-analysis-paperback","title":"Data Wrangling on AWS: Clean and organize complex data for analysis - Paperback","description":"\u003cp\u003eby \u003cb\u003eNavnit Shukla\u003c\/b\u003e (Author), \u003cb\u003eSankar M\u003c\/b\u003e (Author), \u003cb\u003eSam Palani\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eRevamp your data landscape and implement highly effective data pipelines in AWS with this hands-on guide\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePurchase of the print or Kindle book includes a free PDF eBook\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eExecute extract, transform, and load (ETL) tasks on data lakes, data warehouses, and databases\u003c\/li\u003e\n\u003cli\u003eImplement effective Pandas data operation with data wrangler\u003c\/li\u003e\n\u003cli\u003eIntegrate pipelines with AWS data services\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eData 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eFirst, 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll be well-equipped to perform data wrangling using AWS services.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eExplore how to write simple to complex transformations using AWS data wrangler\u003c\/li\u003e\n\u003cli\u003eUse abstracted functions to extract and load data from and into AWS datastores\u003c\/li\u003e\n\u003cli\u003eConfigure AWS Glue DataBrew for data wrangling\u003c\/li\u003e\n\u003cli\u003eDevelop data pipelines using AWS data wrangler\u003c\/li\u003e\n\u003cli\u003eIntegrate AWS security features into Data Wrangler using identity and access management (IAM)\u003c\/li\u003e\n\u003cli\u003eOptimize your data with AWS SageMaker\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 420\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.86 x 9.25 x 7.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 31, 2023\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42705118101567,"sku":"9781801810906","price":69.1,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/4369d3c5dcd8599c596b86ab74aa8c3c.webp?v=1765035603","url":"https:\/\/dhlswag.com\/products\/data-wrangling-on-aws-clean-and-organize-complex-data-for-analysis-paperback","provider":"BBB","version":"1.0","type":"link"}