{"product_id":"aws-certified-data-analytics-study-guide-with-online-labs-9781119819455","title":"AWS Certified Data Analytics Study Guide with","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\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 is the Base 19\u003c\/p\u003e \u003cp\u003eStep 2: Data Ingestion – Moving the Data into the 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","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49407162155351,"sku":"9781119819455","price":92.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119819455.jpg?v=1730498390","url":"https:\/\/bookcurl.com\/products\/aws-certified-data-analytics-study-guide-with-online-labs-9781119819455","provider":"Book Curl","version":"1.0","type":"link"}