AWS certified data analytics study guide

AWS certified data analytics study guide: specialty (DAS-C01) exam

by ABBASI, ASIF

Type Book
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This comprehensive study guide will help assess your technical skills and prepare for the updated AWS Certified Data Analytics exam. Earning this AWS certification will confirm your expertise in designing and implementing AWS services to derive value from data. The AWS Certified Data Analytics Study Guide: Specialty (DAS-C01) Exam is designed for business analysts and IT professionals who perform complex Big Data analyses. This AWS Specialty Exam guide gets you ready for certification testing w…

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Title Statements

  • Full title :AWS certified data analytics study guide : specialty (DAS-C01) exam / Asif Abbasi.

Summary

This comprehensive study guide will help assess your technical skills and prepare for the updated AWS Certified Data Analytics exam. Earning this AWS certification will confirm your expertise in designing and implementing AWS services to derive value from data. The AWS Certified Data Analytics Study Guide: Specialty (DAS-C01) Exam is designed for business analysts and IT professionals who perform complex Big Data analyses. This AWS Specialty Exam guide gets you ready for certification testing with expert content, real-world knowledge, key exam concepts, and topic reviews. Gain confidence by studying the subject areas and working through the practice questions.

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Edition Statements

  • Publication Date:©2021

Publication Statements

  • Publisher(s):Sybex, a Wiley Brand
  • Place of Publication:Indianapolis
  • Language:eng
  • Publication Date:©2021

Notes

Description based upon print version of record.

The Physical Object

  • Description:1 online resource (xlvii, 366 pages) : : illustrations (some color)

Edition Identifiers

  • ISBN:9781119649489, 111964948X, 9781119649441, 1119649447, 9781119649458, 1119649455
  • oclc:on1224369148
  • LC Classification:QA76.585
  • Dewey Decimal:004.67/82

Table of Contents

Cover -- Title Page -- Copyright Page -- Acknowledgments -- About the Author -- About the Technical Editor -- Contents at a Glance -- Contents -- Introduction -- What Does This Book Cover? -- Preparing for the Exam -- Registering for the Exam -- Studying for the Exam -- The Night before the Exam -- During the Exam -- Interactive Online Learning Environment and Test Bank -- Exam Objectives -- Assessment Test -- Chapter 1 History of Analytics and Big Data -- Evolution of Analytics Architecture Over the Years -- The New World Order -- Analytics Pipeline -- Data Sources -- Collection -- Storage

Processing and Analysis -- Visualization, Predictive and Prescriptive Analytics -- The Big Data Reference Architecture -- Data Characteristics: Hot, Warm, and Cold -- Collection/Ingest -- Storage -- Process/Analyze -- Consumption -- Data Lakes and Their Relevance in Analytics -- What Is a Data Lake? -- Building a Data Lake on AWS -- Step 1: Choosing the Right Storage -- Amazon S3 Is the Base -- Step 2: Data Ingestion -- Moving the Data into the Data Lake -- Step 3: Cleanse, Prep, and Catalog the Data -- Step 4: Secure the Data and Metadata -- Step 5: Make Data Available for Analytics

Using La…

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