AWS certified data analytics study guide (Record no. 69408)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 05195cam a2200625Ia 4500 |
| 001 - CONTROL NUMBER | |
| control field | on1224369148 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220711203630.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 201128s2020 inu o 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119649489 |
| -- | (electronic bk. : oBook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 111964948X |
| -- | (electronic bk. : oBook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119649441 |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119649447 |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119649458 |
| -- | (ePub ebook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119649455 |
| 029 1# - (OCLC) | |
| OCLC library identifier | UKMGB |
| System control number | 019869800 |
| 029 1# - (OCLC) | |
| OCLC library identifier | AU@ |
| System control number | 000068418241 |
| 037 ## - | |
| -- | 9781119649458 |
| -- | Wiley |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 004.67/82 |
| 100 1# - AUTHOR NAME | |
| Author | Abbasi, Asif, |
| 245 10 - TITLE STATEMENT | |
| Title | AWS certified data analytics study guide |
| Sub Title | specialty (DAS-C01) exam / |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Indianapolis : |
| Publisher | Sybex, |
| Year of publication | 2020. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource (419 p.) |
| 500 ## - GENERAL NOTE | |
| Remark 1 | Description based upon print version of record. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 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 |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 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 |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 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 |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 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 |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 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 |
| 500 ## - GENERAL NOTE | |
| Remark 1 | Storage Gateway. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Examinations |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Data processing. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1002/9781119649489 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 336 ## - | |
| -- | text |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | rdacarrier |
| 610 27 - SUBJECT ADDED ENTRY--CORPORATE NAME | |
| -- | (OCoLC)fst01974501 |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Cloud computing |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Big data |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Examinations. |
| -- | (OCoLC)fst00917492 |
| 655 #7 - INDEX TERM--GENRE/FORM | |
| -- | (OCoLC)fst01423888 |
| 994 ## - | |
| -- | 92 |
| -- | DG1 |
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