Sale!

Data Engineering with AWS: Learn how to design and build cloud-based data transformation pipelines using AWS

SKU: RM3817394002Category: Tags: , , ,
In Stock

$77.49

Purchase this product now and earn 77 Srm Points! Learn More
Buy Now
Share on:
The Storepaperoomates Retail Market » Catalog and Departments » Book » Data Engineering with AWS: Learn how to design and build cloud-based data transformation pipelines using AWS
Product Description

Author: Eagar Gareth

Brand: Packt Publishing

Number Of Pages: 482

Details: Product Description

The missing expert-led manual for the AWS ecosystem ― go from foundations to building data engineering pipelines effortlessly
Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Learn about common data architectures and modern approaches to generating value from big data Explore AWS tools for ingesting, transforming, and consuming data, and for orchestrating pipelines Learn how to architect and implement data lakes and data lakehouses for big data analytics from a data lakes expert Book Description
Written by a Senior Data Architect with over twenty-five years of experience in the business, Data Engineering for AWS is a book whose sole aim is to make you proficient in using the AWS ecosystem. Using a thorough and hands-on approach to data, this book will give aspiring and new data engineers a solid theoretical and practical foundation to succeed with AWS.
As you progress, you’ll be taken 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. You’ll also learn 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.
By the end of this AWS book, you’ll be able to carry out data engineering tasks and implement a data pipeline on AWS independently. What you will learn Understand data engineering concepts and emerging technologies Ingest streaming data with Amazon Kinesis Data Firehose Optimize, denormalize, and join datasets with AWS Glue Studio Use Amazon S3 events to trigger a Lambda process to transform a file Run complex SQL queries on data lake data using Amazon Athena Load data into a Redshift data warehouse and run queries Create a visualization of your data using Amazon QuickSight Extract sentiment data from a dataset using Amazon Comprehend Who this book is for
This 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 new to data engineering who wants to learn about the foundational concepts while gaining practical experience with common data engineering services on AWS will also find this book useful.
A basic understanding of big data-related topics and Python coding will help you get the most out of this book but it’s not a prerequisite. Familiarity with the AWS console and core services will also help you follow along. Table of Contents An Introduction to Data Engineering Data Management Architectures for Analytics The AWS Data Engineer’s Toolkit Data Cataloging, Security and Governance Architecting Data Engineering Pipelines Ingesting Batch and Streaming Data Transforming Data to Optimize for Analytics Identifying and Enabling Data Consumers Loading Data into a Data Mart Orchestrating the Data Pipeline Ad Hoc Queries with Amazon Athena Visualizing Data with Amazon QuickSight Enabling Artificial Intelligence and Machine Learning Wrapping Up the First Part of Your Learning Journey

Review

“This is a great book for understanding and implementing the lake house architecture to integrate your Data Lake with your warehouse. It shows you all the steps you need to orchestrate your data pipeline. From architecture, ingestion, and processing to running queries in your data warehouse, I really like the very hands-on approach that shows you how you can immediately implement the topics in your AWS account.” — Andreas Kretz, CEO, Learn

Release Date: 29-12-2021

Package Dimensions: 32x233x889

Product Inquiry
You may be interested in
New Arrivals
Best Sellers
Expedited Order Processing
60-Day Free Returns
Fast and Tracked Shipping
Quality Guarantee
Replacement for GE Air Conditioner Remote Control YK4EB1 Works for AEQ12DPS1 AEQ12DQ AEQ12DQW1 AEQ25DP AEQ25DPL1 AEW05LP AEW05LPG1 AEW05LPL1 AEW05LPQ1 AEW05LPW1 AEW05LQ AEW05LQG1 | The Storepaperoomates Retail Market - Fast Affordable Shopping
Check out Now and ...
Get an Exclusive Additional 15% Off …
Exit Intent – Global | The Storepaperoomates Retail Market - Fast Affordable Shopping
Wait, Before we forget...
Get a sweet extra 15% Off Now...