Abbasi, Asif,
AWS certified data analytics study guide specialty (DAS-C01) exam / [electronic resource] : Asif Abbasi. - Indianapolis : Sybex, 2020. - 1 online resource (419 p.)
Description based upon print version of record. Storage Gateway.
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 Lake Formation to Build a Data Lake on AWS -- Exam Objectives -- Objective Map -- Assessment Test -- References -- Chapter 2 Data Collection -- Exam Objectives -- AWS IoT -- Common Use Cases for AWS IoT -- How AWS IoT Works -- Amazon Kinesis -- Amazon Kinesis Introduction -- Amazon Kinesis Data Streams -- Amazon Kinesis Data Analytics -- Amazon Kinesis Video Streams -- AWS Glue -- Glue Data Catalog -- Glue Crawlers -- Authoring ETL Jobs -- Executing ETL Jobs -- Change Data Capture with Glue Bookmarks -- Use Cases for AWS Glue -- Amazon SQS -- Amazon Data Migration Service What Is AWS DMS Anyway? -- What Does AWS DMS Support? -- AWS Data Pipeline -- Pipeline Definition -- Pipeline Schedules -- Task Runner -- Large-Scale Data Transfer Solutions -- AWS Snowcone -- AWS Snowball -- AWS Snowmobile -- AWS Direct Connect -- Summary -- Review Questions -- References -- Exercises & Workshops -- Chapter 3 Data Storage -- Introduction -- Amazon S3 -- Amazon S3 Data Consistency Model -- Data Lake and S3 -- Data Replication in Amazon S3 -- Server Access Logging in Amazon S3 -- Partitioning, Compression, and File Formats on S3 -- Amazon S3 Glacier -- Vault -- Archive Amazon DynamoDB -- Amazon DynamoDB Data Types -- Amazon DynamoDB Core Concepts -- Read/Write Capacity Mode in DynamoDB -- DynamoDB Auto Scaling and Reserved Capacity -- Read Consistency and Global Tables -- Amazon DynamoDB: Indexing and Partitioning -- Amazon DynamoDB Accelerator -- Amazon DynamoDB Streams -- Amazon DynamoDB Streams - Kinesis Adapter -- Amazon DocumentDB -- Why a Document Database? -- Amazon DocumentDB Overview -- Amazon Document DB Architecture -- Amazon DocumentDB Interfaces -- Graph Databases and Amazon Neptune -- Amazon Neptune Overview -- Amazon Neptune Use Cases
9781119649489 111964948X 9781119649441 1119649447 9781119649458 1119649455
9781119649458 Wiley
GBC0A3640 bnb
019869800 Uk
Amazon Web Services (Firm)--Examinations--Study guides.
Amazon Web Services (Firm)
Cloud computing--Examinations--Study guides.
Big data--Data processing.
Examinations.
Electronic books.
Study guides.
QA76.585
004.67/82
AWS certified data analytics study guide specialty (DAS-C01) exam / [electronic resource] : Asif Abbasi. - Indianapolis : Sybex, 2020. - 1 online resource (419 p.)
Description based upon print version of record. Storage Gateway.
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 Lake Formation to Build a Data Lake on AWS -- Exam Objectives -- Objective Map -- Assessment Test -- References -- Chapter 2 Data Collection -- Exam Objectives -- AWS IoT -- Common Use Cases for AWS IoT -- How AWS IoT Works -- Amazon Kinesis -- Amazon Kinesis Introduction -- Amazon Kinesis Data Streams -- Amazon Kinesis Data Analytics -- Amazon Kinesis Video Streams -- AWS Glue -- Glue Data Catalog -- Glue Crawlers -- Authoring ETL Jobs -- Executing ETL Jobs -- Change Data Capture with Glue Bookmarks -- Use Cases for AWS Glue -- Amazon SQS -- Amazon Data Migration Service What Is AWS DMS Anyway? -- What Does AWS DMS Support? -- AWS Data Pipeline -- Pipeline Definition -- Pipeline Schedules -- Task Runner -- Large-Scale Data Transfer Solutions -- AWS Snowcone -- AWS Snowball -- AWS Snowmobile -- AWS Direct Connect -- Summary -- Review Questions -- References -- Exercises & Workshops -- Chapter 3 Data Storage -- Introduction -- Amazon S3 -- Amazon S3 Data Consistency Model -- Data Lake and S3 -- Data Replication in Amazon S3 -- Server Access Logging in Amazon S3 -- Partitioning, Compression, and File Formats on S3 -- Amazon S3 Glacier -- Vault -- Archive Amazon DynamoDB -- Amazon DynamoDB Data Types -- Amazon DynamoDB Core Concepts -- Read/Write Capacity Mode in DynamoDB -- DynamoDB Auto Scaling and Reserved Capacity -- Read Consistency and Global Tables -- Amazon DynamoDB: Indexing and Partitioning -- Amazon DynamoDB Accelerator -- Amazon DynamoDB Streams -- Amazon DynamoDB Streams - Kinesis Adapter -- Amazon DocumentDB -- Why a Document Database? -- Amazon DocumentDB Overview -- Amazon Document DB Architecture -- Amazon DocumentDB Interfaces -- Graph Databases and Amazon Neptune -- Amazon Neptune Overview -- Amazon Neptune Use Cases
9781119649489 111964948X 9781119649441 1119649447 9781119649458 1119649455
9781119649458 Wiley
GBC0A3640 bnb
019869800 Uk
Amazon Web Services (Firm)--Examinations--Study guides.
Amazon Web Services (Firm)
Cloud computing--Examinations--Study guides.
Big data--Data processing.
Examinations.
Electronic books.
Study guides.
QA76.585
004.67/82