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OCoLC |
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20240329122006.0 |
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211106s2021 xx o ||| 0 eng d |
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|a EBLCP
|b eng
|c EBLCP
|d DST
|d OCLCQ
|d REDDC
|d OCLCO
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| 019 |
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|a 1281986431
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| 020 |
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|a 9781119748021
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|a 111974802X
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| 035 |
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|a (OCoLC)1283860421
|z (OCoLC)1281986431
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| 050 |
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4 |
|a QA76.9.D35
|b .F695 2022
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| 082 |
0 |
4 |
|a 658.40380285574
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| 049 |
|
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|a UAMI
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| 100 |
1 |
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|a Fowler, Dave.
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| 245 |
1 |
4 |
|a The Informed Company
|h [electronic resource] :
|b How to Build Modern Agile Data Stacks That Drive Winning Insights.
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| 260 |
|
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|a Newark :
|b John Wiley & Sons, Incorporated,
|c 2021.
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| 300 |
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|a 1 online resource (259 p.)
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| 500 |
|
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|a Description based upon print version of record.
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| 505 |
0 |
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|a Cover -- Title Page -- Copyright Page -- Contents -- About This Book -- Why Write This Book -- Who This Book Is For -- Who This Book Is Not For -- Who Wrote the Book -- Who Edited the Book -- Influences -- How This Book Was Written -- How to Read This Book -- Foreword -- Introduction -- Merging Business Context with Data Information -- The Four Stages of Agile Data Organization -- Stage 1 Source aka Siloed Data -- Chapter 1 Starting with Source Data -- Common Options for Analyzing Source Data -- Chapter 2 The Need to Replicate Source Data -- Replicate Sources -- Create Read-OnlyAccess -- Chapter 3 Source Data Best Practices -- Keep a Complexity Wiki Page -- Snippet Dictionary -- Use a BI Product -- Double Check Results -- Keep Short Dashboards -- Design Before Building -- Stage 2 Data Lake aka Data Combined -- Chapter 4 Why Build a Data Lake? -- What Is a Data Lake? -- Reasons to Build a Data Lake Summarized -- Chapter 5 Choosing an Engine for the Data Lake -- Modern Columnar Warehouse Engines -- Modern Warehouse Engine Products -- Database Engines -- Recommendation -- Chapter 6 Extract and Load (EL) Data -- ETL versus ELT -- EL/ETL Vendors -- Extract Options -- Load Options -- Multiple Schemas -- Other Extract and Load Routes -- Chapter 7 Data Lake Security -- Access in Central Place -- Permission Tiers -- Chapter 8 Data Lake Maintenance -- Why SQL? -- Data Sources -- Performance -- Upgrade Snippets to Views -- Stage 3 Data Warehouse aka the Single Source of Truth -- Chapter 9 The Power of Layers and Views -- Make Readable Views -- Layer Views on Views -- Start with a Single View -- Chapter 10 Staging Schemas -- Orient to the Schemas -- Pick a Table and Clean It -- Other Staging Modeling Considerations -- Building on Top of Staging Schemas -- Chapter 11 Model Data with dbt -- Version Control -- Modularity and Reusability -- Package Management.
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| 505 |
8 |
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|a Organizing Files -- Macros -- Incremental Tables -- Testing -- Chapter 12 Deploy Modeling Code -- Branch Using Version Control Software -- Commit Message -- Test Locally -- Code Review -- Schedule Runs -- Chapter 13 Implementing the Data Warehouse -- Manage Dependencies -- Combine Tables Within Schemas -- Combine Tables Across Schemas -- Keep the Grain Consistent -- Create Business Metrics -- Keeping Accurate History -- Chapter 14 Managing Data Access -- How to Secure Sensitive Data in the Data Warehouse -- How to Secure Sensitive Data in a BI Tool -- Chapter 15 Maintaining the Source of Truth -- Track New Metrics -- Deprecate Old Metrics -- Deprecate Old Schemas -- Resolve Conflicting Numbers -- Handling Ongoing Requests and Ongoing Feedback -- Updating Modeling Code -- Manage Access -- Tuning to Optimize -- Code Review All Modeling -- Maintenance Checklist -- Stage 4 Data Marts aka Data Democratized -- Chapter 16 Data Mart Implementation -- Views on the Data Warehouse -- Segment Tables -- Access Update -- Chapter 17 Data Mart Maintenance -- Educate Team -- Identifies Issues -- Identify New Needs -- Help Track Success -- Chapter 18 Modern versus Traditional Data Stacks: What's Changed? -- What's Changed? -- Chapter 19 Row- versus Column-Oriented Database -- Row-Oriented Databases -- Column-Oriented Databases -- Summary -- Chapter 20 Style Guide Example -- Simplify -- Clean -- Naming Conventions -- Share It -- Chapter 21 Building an SST Example -- First Attempt-Same Tables with Prefixes -- Second Attempt-Operational Schema (Source Agnostic) -- Third Attempt-Application Separate, Other Sources Smashed -- Less Planning, More Implementing -- Acknowledgments and Contributions -- Thank-yous -- Index -- EULA.
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| 590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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| 650 |
|
0 |
|a Big data.
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| 650 |
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0 |
|a Cloud computing.
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| 650 |
|
0 |
|a Data structures (Computer science)
|
| 650 |
|
6 |
|a Données volumineuses.
|
| 650 |
|
6 |
|a Infonuagique.
|
| 650 |
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6 |
|a Structures de données (Informatique)
|
| 700 |
1 |
|
|a David, Matthew C.
|
| 776 |
0 |
8 |
|i Print version:
|a Fowler, Dave
|t The Informed Company
|d Newark : John Wiley & Sons, Incorporated,c2021
|z 9781119748007
|
| 856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=6790673
|z Texto completo
|
| 938 |
|
|
|a ProQuest Ebook Central
|b EBLB
|n EBL6790673
|
| 994 |
|
|
|a 92
|b IZTAP
|
