{"product_id":"serverless-etl-and-analytics-with-aws-glue-your-comprehensive-reference-guide-to-learning-about-aws-glue-and-its-features-paperback","title":"Serverless ETL and Analytics with AWS Glue: Your comprehensive reference guide to learning about AWS Glue and its features - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eVishal Pathak\u003c\/b\u003e (Author), \u003cb\u003eSubramanya Vajiraya\u003c\/b\u003e (Author), \u003cb\u003eNoritaka Sekiyama\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBuild efficient data lakes that can scale to virtually unlimited size using AWS Glue\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eLearn to work with AWS Glue to overcome typical implementation challenges in data lakes\u003c\/li\u003e\n\u003cli\u003eCreate and manage serverless ETL pipelines that can scale to manage big data\u003c\/li\u003e\n\u003cli\u003eWritten by AWS Glue community members, this practical guide shows you how to implement AWS Glue in no time\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\u003eOrganizations these days have gravitated toward services such as AWS Glue that undertake undifferentiated heavy lifting and provide serverless Spark, enabling you to create and manage data lakes in a serverless fashion. This guide shows you how AWS Glue can be used to solve real-world problems along with helping you learn about data processing, data integration, and building data lakes.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBeginning with AWS Glue basics, this book teaches you how to perform various aspects of data analysis such as ad hoc queries, data visualization, and real-time analysis using this service. It also provides a walk-through of CI\/CD for AWS Glue and how to shift left on quality using automated regression tests. You'll find out how data security aspects such as access control, encryption, auditing, and networking are implemented, as well as getting to grips with useful techniques such as picking the right file format, compression, partitioning, and bucketing. As you advance, you'll discover AWS Glue features such as crawlers, Lake Formation, governed tables, lineage, DataBrew, Glue Studio, and custom connectors. The concluding chapters help you to understand various performance tuning, troubleshooting, and monitoring options.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBy the end of this AWS book, you'll be able to create, manage, troubleshoot, and deploy ETL pipelines using AWS Glue.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eApply various AWS Glue features to manage and create data lakes\u003c\/li\u003e\n\u003cli\u003eUse Glue DataBrew and Glue Studio for data preparation\u003c\/li\u003e\n\u003cli\u003eOptimize data layout in cloud storage to accelerate analytics workloads\u003c\/li\u003e\n\u003cli\u003eManage metadata including database, table, and schema definitions\u003c\/li\u003e\n\u003cli\u003eSecure your data during access control, encryption, auditing, and networking\u003c\/li\u003e\n\u003cli\u003eMonitor AWS Glue jobs to detect delays and loss of data\u003c\/li\u003e\n\u003cli\u003eIntegrate Spark ML and SageMaker with AWS Glue to create machine learning models\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\u003eThis book is for ETL developers, data engineers, and data analysts who want to understand how AWS Glue can help you solve your business problems. Basic knowledge of AWS data services is assumed.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 434\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.88 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 30, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47438286356701,"sku":"9781800564985","price":68.41,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0811\/9867\/8237\/files\/UGI4UWJ4UU9PYURtSzM2TEZsY1o3QT09.webp?v=1771417663","url":"https:\/\/handfulofbooks.com\/products\/serverless-etl-and-analytics-with-aws-glue-your-comprehensive-reference-guide-to-learning-about-aws-glue-and-its-features-paperback","provider":"Handful of Books","version":"1.0","type":"link"}