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Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide

You're reading from   Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide Get to grips with Microsoft Business Intelligence and Data Warehousing technologies using this practical guide

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Product type Paperback
Published in May 2014
Publisher
ISBN-13 9781849688888
Length 350 pages
Edition Edition
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Authors (2):
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Reza Rad Reza Rad
Author Profile Icon Reza Rad
Reza Rad
Abolfazl Radgoudarzi Abolfazl Radgoudarzi
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Abolfazl Radgoudarzi
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Table of Contents (19) Chapters Close

Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Data Warehouse Design FREE CHAPTER 2. SQL Server Analysis Services Multidimensional Cube Development 3. Tabular Model Development of SQL Server Analysis Services 4. ETL with Integration Services 5. Master Data Management 6. Data Quality and Data Cleansing 7. Data Mining – Descriptive Models in SSAS 8. Identifying Data Patterns – Predictive Models in SSAS 9. Reporting Services 10. Dashboard Design 11. Power BI 12. Integrating Reports in Applications Index

Understanding ETL and data consolidation


ETL stands for Extract, Transform, and Load. Extract is the process of fetching data from different data sources, Transform is the step where we apply transformation to data, such as aggregation, join with other datasets, applying rules, split or merge result set, and so on. In the Load step, we have data that is ready for the destination table structure, and we load that into the destination fact or dimension table in the data warehouse.

Data transfer or ETL is an important component of the BI and data warehousing system because the source data should be loaded into the data warehouse in a consistent way and be reliable. There are some concerns about data transfer, which makes this process even more important; data might come from different sources such as an Excel file, a DB2 database, or a web service, so the extract step should be able to pick data from all these kinds of data sources. In the transformation step, we should be careful that this...

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