Data Warehousing Special Topic (16)-Distributed Data Warehouse Practice Guide-Catalogue

Objective:

Ready to systematize a set of distributed Data Warehouse Modeling Practice Guide, the first list of the table, is to design a goal for themselves.

The first part of the basic article

Chapter One concept and definition of data Warehouse

1.1 Data Management System

1.2 Data Warehouse Concepts

1.3 Data Warehouse Responsibilities

Chapter II Architecture of Data Warehouse

2.1 Inmon CIF

2.2 Kimball

2.3 For and analysis

Chapter III Fundamentals of Dimensional modeling

3.1 Kimball Four-Step modeling method

3.2 Dimensional design

3.3 Fact Sheet design

The second part of practical article

Chapter I. Road Map

Chapter II Business Analysis-degree of depth

Chapter III Data Analysis-differential treatment

The fourth Chapter data modeling-conceptual model, logical model, physical model

Fifth Chapter aggregation Model

The third part of the tool article

Chapter One Fundamentals of data modeling

1.1 Data Model classification

1.2 Data Modeling Language

1.3 Data Modeling Benefits

1.4 Data Modeling Principles

Chapter Two Dimension modeling tools

2.1 Hello ERwin

2.3 Modeling Language Settings

2.3 Object Naming conventions

2.4 Object Color Management

2.5 Object style settings

2.6 Dimensional Modeling Practices

Chapter III Distributed Data Warehouse system

3.1 Hadoop

3.2 Hive

3.3 Spark

The Forth part raises the article

Chapter One Data warehouse and business system transformation

1.1 Business Refactoring

1.2 Data refactoring

Chapter II Data warehousing and data monetization

2.1 Data value chain theory

2.2 Data monetization Chain

2.3 Data Monetization Mode

Not to be continued, comments in the collection, welcome to reply to the message, if for the distributed data Warehouse construction is interested, can Dabigatran:

Distributed Data Warehouse Modeling 398419457

Data Warehousing Special Topic (16)-Distributed Data Warehouse Practice Guide-Catalogue