{"product_id":"data-engineering-with-aws-learn-how-to-design-and-build-cloud-based-data-transformation-pipelines-using-aws-9781800560413","title":"Data Engineering with AWS: Learn how to design and build cloud-based data transformation pipelines using AWS","description":"\u003cp\u003eThe missing expert-led manual for the AWS ecosystem - go from foundations to building data engineering pipelines effortlessly\u003c\/p\u003e\u003cp\u003ePurchase of the print or Kindle book includes a free eBook in the PDF format.\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 about common data architectures and modern approaches to generating value from big data\u003c\/li\u003e\n\u003cli\u003eExplore AWS tools for ingesting, transforming, and consuming data, and for orchestrating pipelines\u003c\/li\u003e\n\u003cli\u003eLearn how to architect and implement data lakes and data lakehouses for big data analytics\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eKnowing how to architect and implement complex data pipelines is a highly sought-after skill. Data engineers are responsible for building these pipelines that ingest, transform, and join raw datasets - creating new value from the data in the process.\u003c\/p\u003e\u003cp\u003eAmazon Web Services (AWS) offers a range of tools to simplify a data engineer's job, making it the preferred platform for performing data engineering tasks.\u003c\/p\u003e\u003cp\u003eThis book will take you through the services and the skills you need to architect and implement data pipelines on AWS. You'll begin by reviewing important data engineering concepts and some of the core AWS services that form a part of the data engineer's toolkit. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how the transformed data is used by various data consumers. The book also teaches you about populating data marts and data warehouses along with how a data lakehouse fits into the picture. Later, you'll be introduced to AWS tools for analyzing data, including those for ad-hoc SQL queries and creating visualizations. In the final chapters, you'll understand how the power of machine learning and artificial intelligence can be used to draw new insights from data.\u003c\/p\u003e\u003cp\u003eBy the end of this AWS book, you'll be able to carry out data engineering tasks and implement a data pipeline on AWS independently.\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\u003eUnderstand data engineering concepts and emerging technologies\u003c\/li\u003e\n\u003cli\u003eIngest streaming data with Amazon Kinesis Data Firehose\u003c\/li\u003e\n\u003cli\u003eOptimize, denormalize, and join datasets with AWS Glue Studio\u003c\/li\u003e\n\u003cli\u003eUse Amazon S3 events to trigger a Lambda process to transform a file\u003c\/li\u003e\n\u003cli\u003eRun complex SQL queries on data lake data using Amazon Athena\u003c\/li\u003e\n\u003cli\u003eLoad data into a Redshift data warehouse and run queries\u003c\/li\u003e\n\u003cli\u003eCreate a visualization of your data using Amazon QuickSight\u003c\/li\u003e\n\u003cli\u003eExtract sentiment data from a dataset using Amazon Comprehend\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 data engineers, data analysts, and data architects who are new to AWS and looking to extend their skills to the AWS cloud. Anyone who is new to data engineering and wants to learn about the foundational concepts while gaining practical experience with common data engineering services on AWS will also find this book useful.\u003c\/p\u003e\u003cp\u003eA basic understanding of big data-related topics and Python coding will help you get the most out of this book but is not needed. Familiarity with the AWS console and core services is also useful but not necessary.\u003c\/p\u003e\u003cbr\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":50900931576082,"sku":"9781800560413","price":59.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_e414a7ed-49d4-4bbd-a6e2-33502094d958.jpg?v=1738405871","url":"https:\/\/surprise-castle.myshopify.com\/products\/data-engineering-with-aws-learn-how-to-design-and-build-cloud-based-data-transformation-pipelines-using-aws-9781800560413","provider":"Surprise Castle","version":"1.0","type":"link"}