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Move your career forward with AWS certification! Prepare for the AWS Certified Data Analytics Specialty Exam with this thorough study guide
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. Big data concepts covered in the guide include:
Collection
Storage
Processing
Analysis
Visualization
Data security
AWS certifications allow professionals to demonstrate skills related to leading Amazon Web Services technology. The AWS Certified Data Analytics Specialty (DAS-C01) Exam specifically evaluates your ability to design and maintain Big Data, leverage tools to automate data analysis, and implement AWS Big Data services according to architectural best practices. An exam study guide can help you feel more prepared about taking an AWS certification test and advancing your professional career. In addition to the guide's content, you'll have access to an online learning environment and test bank that offers practice exams, a glossary, and electronic flashcards.
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ASIF ABBASI has over 20 years of experience working in various Data & Analytics engineering, consulting and advisory roles with some of the largest customers across the globe to help them in their quest to become more data driven. Asif is the author of Learning Apache Spark 2.0 and is an AWS Certified Data Analytics & Machine Learning Specialist, AWS Certified Solutions Architect (Professional), Hortonworks Certified Hadoop Professional and Administrator, Certified Spark Developer, SAS Certified Predictive Modeler, and Sun Certified Enterprise Architect. Asif is also a Project Management Professional.
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Includes one year of FREE access after activation to the interactive online learning environment and study tools:
Searchable key term glossary Your complete Guide to Preparing for the AWS Certified Data Analytics exam The AWS Certified Data Analytics Study Guide is your one-stop resource for understanding the necessary skills and responsibilities of working in a data analytics-focused job role. This Sybex Study Guide also provides complete coverage of the Specialty (DAS-C01) Exam objectives. Prepare for the exam smarter and faster with Sybex thanks to efficient and accurate content including assessment tests that validate and measure exam readiness, practical exercises, and challenging chapter review questions. Reinforce and retain what you've learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get prepared for the AWS Certified Data Analytics exam with Sybex. Coverage of 100% of all exam objectives in this Study Guide means you'll be ready for:
Security Interactive learning environment Take your exam prep to the next level with Sybex's superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to:
Inhalt
Introduction xxi
Assessment Test xxx
Chapter 1 History of Analytics and Big Data 1
Evolution of Analytics Architecture Over the Years 3
The New World Order 5
Analytics Pipeline 6
Data Sources 7
Collection 8
Storage 8
Processing and Analysis 9
Visualization, Predictive and Prescriptive Analytics 9
The Big Data Reference Architecture 10
Data Characteristics: Hot, Warm, and Cold 11
Collection/Ingest 12
Storage 13
Process/Analyze 14
Consumption 15
Data Lakes and Their Relevance in Analytics 16
What is a Data Lake? 16
Building a Data Lake on AWS 19
Step 1: Choosing the Right Storage Amazon S3
Is the Base 19
Step 2: Data Ingestion Moving the Data into
the Data Lake 21
Step 3: Cleanse, Prep, and Catalog the Data 22
Step 4: Secure the Data and Metadata 23
Step 5: Make Data Available for Analytics 23
Using Lake Formation to Build a Data Lake on AWS 23
Exam Objectives 24
Objective Map 25
Assessment Test 27
References 29
Chapter 2 Data Collection 31
Exam Objectives 32
AWS IoT 33
Common Use Cases for AWS IoT 35
How AWS IoT Works 36
Amazon Kinesis 38
Amazon Kinesis Introduction 40
Amazon Kinesis Data Streams 40
Amazon Kinesis Data Analytics 54
Amazon Kinesis Video Streams 61
AWS Glue 64
Glue Data Catalog 66
Glue Crawlers 68
Authoring ETL Jobs 69
Executing ETL Jobs 71
Change Data Capture with Glue Bookmarks 71
Use Cases for AWS Glue 72
Amazon SQS 72
Amazon Data Migration Service 74
What is AWS DMS Anyway? 74
What Does AWS DMS Support? 75
AWS Data Pipeline 77
Pipeline Definition 77
Pipeline Schedules 78
Task Runner 79
Large-Scale Data Transfer Solutions 81
AWS Snowcone 81
AWS Snowball 82
AWS Snowmobile 85
AWS Direct Connect 86
Summary 87
Review Questions 88
References 90
Exercises & Workshops 91
Chapter 3 Data Storage 93
Introduction 94
Amazon S3 95
Amazon S3 Data Consistency Model 96
Data Lake and S3 97
Data Replication in Amazon S3 100
Server Access Logging in Amazon S3 101
Partitioning, Compression, and File Formats on S3 101
Amazon S3 Glacier 103
Vault 103
Archive 104
Amazon DynamoDB 104
Amazon DynamoDB Data Types 105
Amazon DynamoDB Core Concepts 108
Read/Write Capacity Mode in DynamoDB 108
DynamoDB Auto Scaling and Reserved Capacity 111
Read Consistency and Global Tables 111
Amazon DynamoDB: Indexing and Partitioning 113
Amazon DynamoDB Accelerator 114
Amazon DynamoDB Streams 115
Amazon DynamoDB Streams Kinesis Adapter 116
Amazon DocumentDB 117
Why a Document Database? 117
Amazon DocumentDB Overview 119
Amazon Document DB Architecture 120
Amazon DocumentDB Interfaces 120
Graph Databases and Amazon Neptune 121
Amazon Neptune Overview 122
Amazon Neptune Use Cases 123
Storage Gateway 123
Hybrid Storage Requirements 123
AWS Storage Gateway 125
Amazon EFS 127
Amazon EFS Use Cases 130
Interacting with Amazon EFS 132
Amazon EFS Security Model 132
Backing Up Amazon EFS 132
Amazon FSx for Lustre 133
Key Benefits of Amazon FSx for Lustre 134
Use Cases for Lustre 135 AWS Tra...