{"product_id":"aws-certified-data-analytics-study-guide-9781119649472","title":"AWS Certified Data Analytics Study Guide","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eMove your career forward with AWS certification! Prepare for the AWS Certified Data Analytics Specialty Exam with this thorough study guide\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThis 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 \u003ci\u003eAWS Certified Data Analytics Study Guide: Specialty (DAS-C01) Exam\u003c\/i\u003e is designed for business analysts and IT professionals who perform complex Big Data analyses.\u003c\/p\u003e \u003cp\u003eThis 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:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eCollection\u003c\/li\u003e \u003cli\u003eStorage\u003c\/li\u003e \u003cli\u003eProcessing\u003c\/li\u003e \u003cli\u003eAnalysis\u003c\/li\u003e \u003cli\u003eVisualization\u003c\/li\u003e \u003cli\u003eD\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eIntroduction xxi\u003c\/p\u003e \u003cp\u003eAssessment Test xxx\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 History of Analytics and Big Data 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eEvolution of Analytics Architecture Over the Years 3\u003c\/p\u003e \u003cp\u003eThe New World Order 5\u003c\/p\u003e \u003cp\u003eAnalytics Pipeline 6\u003c\/p\u003e \u003cp\u003eData Sources 7\u003c\/p\u003e \u003cp\u003eCollection 8\u003c\/p\u003e \u003cp\u003eStorage 8\u003c\/p\u003e \u003cp\u003eProcessing and Analysis 9\u003c\/p\u003e \u003cp\u003eVisualization, Predictive and Prescriptive Analytics 9\u003c\/p\u003e \u003cp\u003eThe Big Data Reference Architecture 10\u003c\/p\u003e \u003cp\u003eData Characteristics: Hot, Warm, and Cold 11\u003c\/p\u003e \u003cp\u003eCollection\/Ingest 12\u003c\/p\u003e \u003cp\u003eStorage 13\u003c\/p\u003e \u003cp\u003eProcess\/Analyze 14\u003c\/p\u003e \u003cp\u003eConsumption 15\u003c\/p\u003e \u003cp\u003eData Lakes and Their Relevance in Analytics 16\u003c\/p\u003e \u003cp\u003eWhat is a Data Lake? 16\u003c\/p\u003e \u003cp\u003eBuilding a Data Lake on AWS 19\u003c\/p\u003e \u003cp\u003eStep 1: Choosing the Right Storage – Amazon S3\u003c\/p\u003e \u003cp\u003eIs the Base 19\u003c\/p\u003e \u003cp\u003eStep 2: Data Ingestion – Moving the Data into\u003c\/p\u003e \u003cp\u003ethe Data Lake 21\u003c\/p\u003e \u003cp\u003eStep 3: Cleanse, Prep, and Catalog the Data 22\u003c\/p\u003e \u003cp\u003eStep 4: Secure the Data and Metadata 23\u003c\/p\u003e \u003cp\u003eStep 5: Make Data Available for Analytics 23\u003c\/p\u003e \u003cp\u003eUsing Lake Formation to Build a Data Lake on AWS 23\u003c\/p\u003e \u003cp\u003eExam Objectives 24\u003c\/p\u003e \u003cp\u003eObjective Map 25\u003c\/p\u003e \u003cp\u003eAssessment Test 27\u003c\/p\u003e \u003cp\u003eReferences 29\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Data Collection 31\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eExam Objectives 32\u003c\/p\u003e \u003cp\u003eAWS IoT 33\u003c\/p\u003e \u003cp\u003eCommon Use Cases for AWS IoT 35\u003c\/p\u003e \u003cp\u003eHow AWS IoT Works 36\u003c\/p\u003e \u003cp\u003eAmazon Kinesis 38\u003c\/p\u003e \u003cp\u003eAmazon Kinesis Introduction 40\u003c\/p\u003e \u003cp\u003eAmazon Kinesis Data Streams 40\u003c\/p\u003e \u003cp\u003eAmazon Kinesis Data Analytics 54\u003c\/p\u003e \u003cp\u003eAmazon Kinesis Video Streams 61\u003c\/p\u003e \u003cp\u003eAWS Glue 64\u003c\/p\u003e \u003cp\u003eGlue Data Catalog 66\u003c\/p\u003e \u003cp\u003eGlue Crawlers 68\u003c\/p\u003e \u003cp\u003eAuthoring ETL Jobs 69\u003c\/p\u003e \u003cp\u003eExecuting ETL Jobs 71\u003c\/p\u003e \u003cp\u003eChange Data Capture with Glue Bookmarks 71\u003c\/p\u003e \u003cp\u003eUse Cases for AWS Glue 72\u003c\/p\u003e \u003cp\u003eAmazon SQS 72\u003c\/p\u003e \u003cp\u003eAmazon Data Migration Service 74\u003c\/p\u003e \u003cp\u003eWhat is AWS DMS Anyway? 74\u003c\/p\u003e \u003cp\u003eWhat Does AWS DMS Support? 75\u003c\/p\u003e \u003cp\u003eAWS Data Pipeline 77\u003c\/p\u003e \u003cp\u003ePipeline Definition 77\u003c\/p\u003e \u003cp\u003ePipeline Schedules 78\u003c\/p\u003e \u003cp\u003eTask Runner 79\u003c\/p\u003e \u003cp\u003eLarge-Scale Data Transfer Solutions 81\u003c\/p\u003e \u003cp\u003eAWS Snowcone 81\u003c\/p\u003e \u003cp\u003eAWS Snowball 82\u003c\/p\u003e \u003cp\u003eAWS Snowmobile 85\u003c\/p\u003e \u003cp\u003eAWS Direct Connect 86\u003c\/p\u003e \u003cp\u003eSummary 87\u003c\/p\u003e \u003cp\u003eReview Questions 88\u003c\/p\u003e \u003cp\u003eReferences 90\u003c\/p\u003e \u003cp\u003eExercises \u0026amp; Workshops 91\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Data Storage 93\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 94\u003c\/p\u003e \u003cp\u003eAmazon S3 95\u003c\/p\u003e \u003cp\u003eAmazon S3 Data Consistency Model 96\u003c\/p\u003e \u003cp\u003eData Lake and S3 97\u003c\/p\u003e \u003cp\u003eData Replication in Amazon S3 100\u003c\/p\u003e \u003cp\u003eServer Access Logging in Amazon S3 101\u003c\/p\u003e \u003cp\u003ePartitioning, Compression, and File Formats on S3 101\u003c\/p\u003e \u003cp\u003eAmazon S3 Glacier 103\u003c\/p\u003e \u003cp\u003eVault 103\u003c\/p\u003e \u003cp\u003eArchive 104\u003c\/p\u003e \u003cp\u003eAmazon DynamoDB 104\u003c\/p\u003e \u003cp\u003eAmazon DynamoDB Data Types 105\u003c\/p\u003e \u003cp\u003eAmazon DynamoDB Core Concepts 108\u003c\/p\u003e \u003cp\u003eRead\/Write Capacity Mode in DynamoDB 108\u003c\/p\u003e \u003cp\u003eDynamoDB Auto Scaling and Reserved Capacity 111\u003c\/p\u003e \u003cp\u003eRead Consistency and Global Tables 111\u003c\/p\u003e \u003cp\u003eAmazon DynamoDB: Indexing and Partitioning 113\u003c\/p\u003e \u003cp\u003eAmazon DynamoDB Accelerator 114\u003c\/p\u003e \u003cp\u003eAmazon DynamoDB Streams 115\u003c\/p\u003e \u003cp\u003eAmazon DynamoDB Streams – Kinesis Adapter 116\u003c\/p\u003e \u003cp\u003eAmazon DocumentDB 117\u003c\/p\u003e \u003cp\u003eWhy a Document Database? 117\u003c\/p\u003e \u003cp\u003eAmazon DocumentDB Overview 119\u003c\/p\u003e \u003cp\u003eAmazon Document DB Architecture 120\u003c\/p\u003e \u003cp\u003eAmazon DocumentDB Interfaces 120\u003c\/p\u003e \u003cp\u003eGraph Databases and Amazon Neptune 121\u003c\/p\u003e \u003cp\u003eAmazon Neptune Overview 122\u003c\/p\u003e \u003cp\u003eAmazon Neptune Use Cases 123\u003c\/p\u003e \u003cp\u003eStorage Gateway 123\u003c\/p\u003e \u003cp\u003eHybrid Storage Requirements 123\u003c\/p\u003e \u003cp\u003eAWS Storage Gateway 125\u003c\/p\u003e \u003cp\u003eAmazon EFS 127\u003c\/p\u003e \u003cp\u003eAmazon EFS Use Cases 130\u003c\/p\u003e \u003cp\u003eInteracting with Amazon EFS 132\u003c\/p\u003e \u003cp\u003eAmazon EFS Security Model 132\u003c\/p\u003e \u003cp\u003eBacking Up Amazon EFS 132\u003c\/p\u003e \u003cp\u003eAmazon FSx for Lustre 133\u003c\/p\u003e \u003cp\u003eKey Benefits of Amazon FSx for Lustre 134\u003c\/p\u003e \u003cp\u003eUse Cases for Lustre 135\u003c\/p\u003e \u003cp\u003eAWS Transfer for SFTP 135\u003c\/p\u003e \u003cp\u003eSummary 136\u003c\/p\u003e \u003cp\u003eExercises 137\u003c\/p\u003e \u003cp\u003eReview Questions 140\u003c\/p\u003e \u003cp\u003eFurther Reading 142\u003c\/p\u003e \u003cp\u003eReferences 142\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Data Processing and Analysis 143\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 144\u003c\/p\u003e \u003cp\u003eTypes of Analytical Workloads 144\u003c\/p\u003e \u003cp\u003eAmazon Athena 146\u003c\/p\u003e \u003cp\u003eApache Presto 147\u003c\/p\u003e \u003cp\u003eApache Hive 148\u003c\/p\u003e \u003cp\u003eAmazon Athena Use Cases and Workloads 149\u003c\/p\u003e \u003cp\u003eAmazon Athena DDL, DML, and DCL 150\u003c\/p\u003e \u003cp\u003eAmazon Athena Workgroups 151\u003c\/p\u003e \u003cp\u003eAmazon Athena Federated Query 153\u003c\/p\u003e \u003cp\u003eAmazon Athena Custom UDFs 154\u003c\/p\u003e \u003cp\u003eUsing Machine Learning with Amazon Athena 154\u003c\/p\u003e \u003cp\u003eAmazon EMR 155\u003c\/p\u003e \u003cp\u003eApache Hadoop Overview 156\u003c\/p\u003e \u003cp\u003eAmazon EMR Overview 157\u003c\/p\u003e \u003cp\u003eApache Hadoop on Amazon EMR 158\u003c\/p\u003e \u003cp\u003eEMRFS 166\u003c\/p\u003e \u003cp\u003eBootstrap Actions and Custom AMI 167\u003c\/p\u003e \u003cp\u003eSecurity on EMR 167\u003c\/p\u003e \u003cp\u003eEMR Notebooks 168\u003c\/p\u003e \u003cp\u003eApache Hive and Apache Pig on Amazon EMR 169\u003c\/p\u003e \u003cp\u003eApache Spark on Amazon EMR 174\u003c\/p\u003e \u003cp\u003eApache HBase on Amazon EMR 182\u003c\/p\u003e \u003cp\u003eApache Flink, Apache Mahout, and Apache MXNet 184\u003c\/p\u003e \u003cp\u003eChoosing the Right Analytics Tool 186\u003c\/p\u003e \u003cp\u003eAmazon Elasticsearch Service 188\u003c\/p\u003e \u003cp\u003eWhen to Use Elasticsearch 188\u003c\/p\u003e \u003cp\u003eElasticsearch Core Concepts (the ELK Stack) 189\u003c\/p\u003e \u003cp\u003eAmazon Elasticsearch Service 191\u003c\/p\u003e \u003cp\u003eAmazon Redshift 192\u003c\/p\u003e \u003cp\u003eWhat is Data Warehousing? 192\u003c\/p\u003e \u003cp\u003eWhat is Redshift? 193\u003c\/p\u003e \u003cp\u003eRedshift Architecture 195\u003c\/p\u003e \u003cp\u003eRedshift AQUA 198\u003c\/p\u003e \u003cp\u003eRedshift Scalability 199\u003c\/p\u003e \u003cp\u003eData Modeling in Redshift 205\u003c\/p\u003e \u003cp\u003eData Loading and Unloading 213\u003c\/p\u003e \u003cp\u003eQuery Optimization in Redshift 217\u003c\/p\u003e \u003cp\u003eSecurity in Redshift 221\u003c\/p\u003e \u003cp\u003eKinesis Data Analytics 225\u003c\/p\u003e \u003cp\u003eHow Does It Work? 226\u003c\/p\u003e \u003cp\u003eWhat is Kinesis Data Analytics for Java? 228\u003c\/p\u003e \u003cp\u003eComparing Batch Processing Services 229\u003c\/p\u003e \u003cp\u003eComparing Orchestration Options on AWS 230\u003c\/p\u003e \u003cp\u003eAWS Step Functions 230\u003c\/p\u003e \u003cp\u003eComparing Different ETL Orchestration Options 230\u003c\/p\u003e \u003cp\u003eSummary 231\u003c\/p\u003e \u003cp\u003eExam Essentials 232\u003c\/p\u003e \u003cp\u003eExercises 232\u003c\/p\u003e \u003cp\u003eReview Questions 235\u003c\/p\u003e \u003cp\u003eReferences 237\u003c\/p\u003e \u003cp\u003eRecommended Workshops 237\u003c\/p\u003e \u003cp\u003eAmazon Athena Blogs 238\u003c\/p\u003e \u003cp\u003eAmazon Redshift Blogs 240\u003c\/p\u003e \u003cp\u003eAmazon EMR Blogs 241\u003c\/p\u003e \u003cp\u003eAmazon Elasticsearch Blog 241\u003c\/p\u003e \u003cp\u003eAmazon Redshift References and Further Reading 242\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Data Visualization 243\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 244\u003c\/p\u003e \u003cp\u003eData Consumers 245\u003c\/p\u003e \u003cp\u003eData Visualization Options 246\u003c\/p\u003e \u003cp\u003eAmazon QuickSight 247\u003c\/p\u003e \u003cp\u003eGetting Started 248\u003c\/p\u003e \u003cp\u003eWorking with Data 250\u003c\/p\u003e \u003cp\u003eData Preparation 255\u003c\/p\u003e \u003cp\u003eData Analysis 256\u003c\/p\u003e \u003cp\u003eData Visualization 258\u003c\/p\u003e \u003cp\u003eMachine Learning Insights 261\u003c\/p\u003e \u003cp\u003eBuilding Dashboards 262\u003c\/p\u003e \u003cp\u003eEmbedding QuickSight Objects into Other Applications 264\u003c\/p\u003e \u003cp\u003eAdministration 265\u003c\/p\u003e \u003cp\u003eSecurity 266\u003c\/p\u003e \u003cp\u003eOther Visualization Options 267\u003c\/p\u003e \u003cp\u003ePredictive Analytics 270\u003c\/p\u003e \u003cp\u003eWhat is Predictive Analytics? 270\u003c\/p\u003e \u003cp\u003eThe AWS ML Stack 271\u003c\/p\u003e \u003cp\u003eSummary 273\u003c\/p\u003e \u003cp\u003eExam Essentials 273\u003c\/p\u003e \u003cp\u003eExercises 274\u003c\/p\u003e \u003cp\u003eReview Questions 275\u003c\/p\u003e \u003cp\u003eReferences 276\u003c\/p\u003e \u003cp\u003eAdditional Reading Material 276\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Data Security 279\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 280\u003c\/p\u003e \u003cp\u003eShared Responsibility Model 280\u003c\/p\u003e \u003cp\u003eSecurity Services on AWS 282\u003c\/p\u003e \u003cp\u003eAWS IAM Overview 285\u003c\/p\u003e \u003cp\u003eIAM User 285\u003c\/p\u003e \u003cp\u003eIAM Groups 286\u003c\/p\u003e \u003cp\u003eIAM Roles 287\u003c\/p\u003e \u003cp\u003eAmazon EMR Security 289\u003c\/p\u003e \u003cp\u003ePublic Subnet 290\u003c\/p\u003e \u003cp\u003ePrivate Subnet 291\u003c\/p\u003e \u003cp\u003eSecurity Configurations 293\u003c\/p\u003e \u003cp\u003eBlock Public Access 298\u003c\/p\u003e \u003cp\u003eVPC Subnets 298\u003c\/p\u003e \u003cp\u003eSecurity Options during Cluster Creation 299\u003c\/p\u003e \u003cp\u003eEMR Security Summary 300\u003c\/p\u003e \u003cp\u003eAmazon S3 Security 301\u003c\/p\u003e \u003cp\u003eManaging Access to Data in Amazon S3 301\u003c\/p\u003e \u003cp\u003eData Protection in Amazon S3 305\u003c\/p\u003e \u003cp\u003eLogging and Monitoring with Amazon S3 306\u003c\/p\u003e \u003cp\u003eBest Practices for Security on Amazon S3 308\u003c\/p\u003e \u003cp\u003eAmazon Athena Security 308\u003c\/p\u003e \u003cp\u003eManaging Access to Amazon Athena 309\u003c\/p\u003e \u003cp\u003eData Protection in Amazon Athena 310\u003c\/p\u003e \u003cp\u003eData Encryption in Amazon Athena 311\u003c\/p\u003e \u003cp\u003eAmazon Athena and AWS Lake Formation 312\u003c\/p\u003e \u003cp\u003eAmazon Redshift Security 312\u003c\/p\u003e \u003cp\u003eLevels of Security within Amazon Redshift 313\u003c\/p\u003e \u003cp\u003eData Protection in Amazon Redshift 315\u003c\/p\u003e \u003cp\u003eRedshift Auditing 316\u003c\/p\u003e \u003cp\u003eRedshift Logging 317\u003c\/p\u003e \u003cp\u003eAmazon Elasticsearch Security 317\u003c\/p\u003e \u003cp\u003eElasticsearch Network Configuration 318\u003c\/p\u003e \u003cp\u003eVPC Access 318\u003c\/p\u003e \u003cp\u003eAccessing Amazon Elasticsearch and Kibana 319\u003c\/p\u003e \u003cp\u003eData Protection in Amazon Elasticsearch 322\u003c\/p\u003e \u003cp\u003eAmazon Kinesis Security 325\u003c\/p\u003e \u003cp\u003eManaging Access to Amazon Kinesis 325\u003c\/p\u003e \u003cp\u003eData Protection in Amazon Kinesis 326\u003c\/p\u003e \u003cp\u003eAmazon Kinesis Best Practices 326\u003c\/p\u003e \u003cp\u003eAmazon QuickSight Security 327\u003c\/p\u003e \u003cp\u003eManaging Data Access with Amazon QuickSight 327\u003c\/p\u003e \u003cp\u003eData Protection 328\u003c\/p\u003e \u003cp\u003eLogging and Monitoring 329\u003c\/p\u003e \u003cp\u003eSecurity Best Practices 329\u003c\/p\u003e \u003cp\u003eAmazon DynamoDB Security 329\u003c\/p\u003e \u003cp\u003eAccess Management in DynamoDB 329\u003c\/p\u003e \u003cp\u003eIAM Policy with Fine-Grained Access Control 330\u003c\/p\u003e \u003cp\u003eIdentity Federation 331\u003c\/p\u003e \u003cp\u003eHow to Access Amazon DynamoDB 332\u003c\/p\u003e \u003cp\u003eData Protection with DynamoDB 332\u003c\/p\u003e \u003cp\u003eMonitoring and Logging with DynamoDB 333\u003c\/p\u003e \u003cp\u003eSummary 334\u003c\/p\u003e \u003cp\u003eExam Essentials 334\u003c\/p\u003e \u003cp\u003eExercises\/Workshops 334\u003c\/p\u003e \u003cp\u003eReview Questions 336\u003c\/p\u003e \u003cp\u003eReferences and Further Reading 337\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix Answers to Review Questions 339\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 1: History of Analytics and Big Data 340\u003c\/p\u003e \u003cp\u003eChapter 2: Data Collection 342\u003c\/p\u003e \u003cp\u003eChapter 3: Data Storage 343\u003c\/p\u003e \u003cp\u003eChapter 4: Data Processing and Analysis 344\u003c\/p\u003e \u003cp\u003eChapter 5: Data Visualization 346\u003c\/p\u003e \u003cp\u003eChapter 6: Data Security 346\u003c\/p\u003e \u003cp\u003eIndex 349\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49407109103959,"sku":"9781119649472","price":35.62,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119649472.jpg?v=1730498208","url":"https:\/\/bookcurl.com\/products\/aws-certified-data-analytics-study-guide-9781119649472","provider":"Book Curl","version":"1.0","type":"link"}