000 | 05195cam a2200625Ia 4500 | ||
---|---|---|---|
001 | on1224369148 | ||
003 | OCoLC | ||
005 | 20220711203630.0 | ||
006 | m o d | ||
007 | cr cnu---unuuu | ||
008 | 201128s2020 inu o 000 0 eng d | ||
040 |
_aEBLCP _beng _cEBLCP _dN$T _dEBLCP _dOCLCO _dN$T _dDG1 _dUKAHL _dOCLCF _dUKMGB |
||
015 |
_aGBC0A3640 _2bnb |
||
016 | 7 |
_a019869800 _2Uk |
|
020 |
_a9781119649489 _q(electronic bk. : oBook) |
||
020 |
_a111964948X _q(electronic bk. : oBook) |
||
020 |
_a9781119649441 _q(electronic bk.) |
||
020 |
_a1119649447 _q(electronic bk.) |
||
020 |
_a9781119649458 _q(ePub ebook) |
||
020 | _a1119649455 | ||
020 | _z9781119649472 (pbk.) | ||
029 | 1 |
_aUKMGB _b019869800 |
|
029 | 1 |
_aAU@ _b000068418241 |
|
035 | _a(OCoLC)1224369148 | ||
037 |
_a9781119649458 _bWiley |
||
050 | 4 | _aQA76.585 | |
082 | 0 | 4 |
_a004.67/82 _223 |
049 | _aMAIN | ||
100 | 1 |
_aAbbasi, Asif, _eauthor. _99472 |
|
245 | 1 | 0 |
_aAWS certified data analytics study guide _h[electronic resource] : _bspecialty (DAS-C01) exam / _cAsif Abbasi. |
260 |
_aIndianapolis : _bSybex, _c2020. |
||
300 | _a1 online resource (419 p.) | ||
336 |
_atext _2rdacontent |
||
337 |
_acomputer _2rdamedia |
||
338 |
_aonline resource _2rdacarrier |
||
500 | _aDescription based upon print version of record. | ||
505 | 0 | _aCover -- 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 | _aProcessing 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 | _aUsing 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 | _aWhat 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 | _aAmazon 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 | _aStorage Gateway. | ||
590 | _bWiley Frontlist Obook All English 2020 | ||
610 | 2 | 0 |
_aAmazon Web Services (Firm) _xExaminations _vStudy guides. _95824 |
610 | 2 | 7 |
_aAmazon Web Services (Firm) _2fast _0(OCoLC)fst01974501 _95825 |
650 | 0 |
_aCloud computing _xExaminations _vStudy guides. _99473 |
|
650 | 0 |
_aBig data _xData processing. _99474 |
|
650 | 7 |
_aExaminations. _2fast _0(OCoLC)fst00917492 _94723 |
|
655 | 4 |
_aElectronic books. _93294 |
|
655 | 7 |
_aStudy guides. _2fast _0(OCoLC)fst01423888 _94724 |
|
776 | 0 | 8 |
_iPrint version: _aAbbasi, Asif _tAWS Certified Data Analytics Study Guide : Specialty (das-C01) Exam _dNewark : John Wiley & Sons, Incorporated,c2020 _z9781119649472 |
856 | 4 | 0 |
_uhttps://doi.org/10.1002/9781119649489 _zWiley Online Library |
942 | _cEBK | ||
994 |
_a92 _bDG1 |
||
999 |
_c69408 _d69408 |