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Data Lakehouse in Action

You're reading from  Data Lakehouse in Action

Product type Book
Published in Mar 2022
Publisher Packt
ISBN-13 9781801815932
Pages 206 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Pradeep Menon Pradeep Menon
Profile icon Pradeep Menon

Table of Contents (14) Chapters

Preface PART 1: Architectural Patterns for Analytics
Chapter 1: Introducing the Evolution of Data Analytics Patterns Chapter 2: The Data Lakehouse Architecture Overview PART 2: Data Lakehouse Component Deep Dive
Chapter 3: Ingesting and Processing Data in a Data Lakehouse Chapter 4: Storing and Serving Data in a Data Lakehouse Chapter 5: Deriving Insights from a Data Lakehouse Chapter 6: Applying Data Governance in the Data Lakehouse Chapter 7: Applying Data Security in a Data Lakehouse PART 3: Implementing and Governing a Data Lakehouse
Chapter 8: Implementing a Data Lakehouse on Microsoft Azure Chapter 9: Scaling the Data Lakehouse Architecture Other Books You May Enjoy

The need for a macro-architectural pattern for analytics

Organizations are complex and need to evolve in their analytics journey, especially when they become too big to be managed centrally. Typically, a complex organization has two groups, the central unit and the sub-units.

  • Central unit: This is the unit that is at the organizational level. It may prescribe guidances that are expected to be followed by the sub-units. It may hold budgets that are distributed for various initiatives across the sub-units. It may also have platforms that fulfill group-level requirements.
  • Sub-units: It is not uncommon for organizations to have many sub-units. The sub-units may have differing levels of independence from the central unit. This degree of autonomy is based on the organizational structure and its culture. Typically, these sub-units can belong to mainly three categories:
    • The first category comprises a different organization (entity) within a group organization in the same or another...
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