Data Warehouse

6. Introduction to DWBI – Goals of Data Warehouse

Building a Data warehouse Purpose & Goals of Data Warehouse Purpose & Goals of Data Warehouse: Focus on fundamentals before delving into details of modeling and implementation. Listen to the Business and understand the goals and current pain points in reporting the business needs. The Data warehouse must make the organizational information readily available and… Continue reading 6. Introduction to DWBI – Goals of Data Warehouse

Data Warehouse

5. Introduction to DW&BI – ETL Extract Transform and Load

ETL – Extract Transform & Load Extract Transform and Load: ETL means Extract, Transform, and Load. ETL is a process combined with technology. Using this process data is extracted from all sources, and depending on the user requirements the data is transformed for reporting needs, and finally, data loaded into the Data warehouse. ETL is… Continue reading 5. Introduction to DW&BI – ETL Extract Transform and Load

Data Warehouse

4.Introduction to DW & BI – DWBI Cycle

DWBI Cycle Data Warehousing and Business Intelligence: A real Business Intelligence passes through a Data warehouse and utilizes the data-stored for information, knowledge, and plans that produce effective business actions. So, Business Intelligence is a combination of process, technology, and a tool. Means Business Intelligence encompasses Data warehouse, Tools, and Visual knowledge management. Among all,… Continue reading 4.Introduction to DW & BI – DWBI Cycle

Data Warehouse

3.Introduction to DW&BI – Kimball or Inmon Model

Data warehouse - Kimball or Inmon model. The following information provides an understanding of the basics of two different approach in Data warehouse modeling: History of Data Warehouse: In 1990 Inmon wrote a book "Building the Data Warehouse." Inmon defines an architecture for the collection of disparate sources into detailed, time variant data store (The… Continue reading 3.Introduction to DW&BI – Kimball or Inmon Model

Data Warehouse

2.Introduction to DW&BI – Why DWBI?

Why DWBI Executives and Manager managing business challenged for new avenues to improve the business and economic conditions. The challenge is to do more with less and to make better decisions in a competitive industry. DWBI environment provides access to actionable data to act in a short time. The impressive reputation of DWBI in the… Continue reading 2.Introduction to DW&BI – Why DWBI?

Data Warehouse

1.Introduction to DW & BI – What is Data Warehouse & Business Intelligence

Introduction to Data Warehouse and Business Intelligence What is a Data Warehouse? Defining a Data warehouse is very simple. A data warehouse is a data repository were all relevant Enterprise data is stored and provides as a single source for the Enterprise reports, analysis, and presentation through ad-hoc reports, canned reports, portals, and dashboards. What is… Continue reading 1.Introduction to DW & BI – What is Data Warehouse & Business Intelligence

Introduction to DW · Microsoft Data Technology · Relational Data Warehouse

DWBI – Part 2-c. Data Warehouse – Architectures

Data Warehouse Architectures

Introduction to DW · Microsoft Data Technology · Relational Data Warehouse

DWBI – Part 2-b. Data Warehouse – Gathering Requirements

Gathering Requirements

Introduction to DW · Microsoft Data Technology · Relational Data Warehouse

DWBI – Part 2-a. Data Warehouse – Planning

Data warehouse planning: 

Microsoft Data Technology

MSBI – SSRS – Create shared data sources and datasets for your reports

Create shared data sources and datasets for your reports: