Books by splitShops

Connecting the Data: Data Integration Techniques for Building an Operational Data Store (ODS) - Paperback

$38.95

Tax not included.
Shipping calculated at checkout.

In stock

Order Note:

Purchase Information

Shipping charges, applicable taxes, the final order total, and available payment methods are shown during checkout before payment. Delivery timing varies by item and fulfillment origin. Standard U.S. returns are by mail for eligible new, unopened items within 30 days of carrier delivery. Customers pay standard return shipping; there is no restocking fee. Approved refunds are issued within 5 business days after the return is received and inspected. Standard exchanges are not offered.

Cindi Book items have a flat $9.99 shipping charge. Shopify Collective items use shipping rates set by the supplier. Orders containing items from different fulfillment sources may include more than one shipping charge. Your full shipping total is shown at checkout before payment.

Return eligibility is subject to the full policy. Opened, read, or unsealed books with broken seals or visible wear are final sale. Digital downloads, gift cards, and personalized products are non-refundable. Original shipping charges are not refunded for standard returns. Contact us within 7 days of delivery about damaged, defective, or incorrect items.

by Angelo Bobak (Author)

Business data integration is a complex problem that must be solved when organizations change or enhance their internal structures. The goal of this book is to present a simple yet thorough resource that describes the challenges of business data integration and the solutions to these challenges such as schema integration, illustrated through an Operational Data Store (ODS) case study.

This book contains three sections spanning ten chapters. Section I, Foundational Concepts, will provide you with the necessary basic concepts and discuss schema integration. Section II, Preparation and Design, introduces the case study and we will reverse engineer each of the data sources to create a set of data dictionary reports which will provide us with the meta data we need to apply the schema integration process. Section III, Physical Implementation, will present scripts to populate each of the source databases and spreadsheets and use reports to create Extract, Transform, and Load (ETL) specifications. The ten chapters within these three sections are:

  • Chapter 1 - Introduction and Roadmap
  • Chapter 2 - What is an Operational Data Store (ODS)?
  • Chapter 3 - What is Schema Integration?
  • Chapter 4 - The Role of the ODS within DW Architectures
  • Chapter 5 - Reverse Engineering the four Source Schema
  • Chapter 6 - Designing the Interim Schema
  • Chapter 7 - Preparing the ETL Specifications
  • Chapter 8 - Designing the Physical ODS Database Model
  • Chapter 9 - Designing Our ETL processes with SSIS
  • Chapter 10 - Data Quality Profiling

Front Jacket

Business data integration is a complex problem that must be solved when organizations change or enhance their internal structures. The goal of this book is to present a simple yet thorough resource that describes the challenges of business data integration and the solutions to these challenges such as schema integration, illustrated through an Operational Data Store (ODS) case study.

This book contains three sections spanning ten chapters. Section I, Foundational Concepts, will provide you with the necessary basic concepts and discuss schema integration. Section II, Preparation and Design, introduces the case study and we will reverse engineer each of the data sources to create a set of data dictionary reports which will provide us with the meta data we need to apply the schema integration process. Section III, Physical Implementation, will present scripts to populate each of the source databases and spreadsheets and use reports to create Extract, Transform, and Load (ETL) specifications. The ten chapters within these three sections are:

Chapter 1 Introduction and Roadmap

Chapter 2 What is an Operational Data Store (ODS)?

Chapter 3 What is Schema Integration?

Chapter 4 The Role of the ODS within DW Architectures

Chapter 5 Reverse Engineering the four Source Schema

Chapter 6 Designing the Interim Schema

Chapter 7 Preparing the ETL Specifications

Chapter 8 Designing the Physical ODS Database Model

Chapter 9 Designing Our ETL processes with SSIS

Chapter 10 Data Quality Profiling

Number of Pages: 244
Dimensions: 0.7 x 9.9 x 7.9 IN
Publication Date: October 15, 2012

Pay with

  • Amazon
  • Apple Pay
  • Diners Club
  • Discover
  • Google Pay
  • Mastercard
  • PayPal
  • Shop Pay
  • Visa

Available payment methods and your final total are shown at checkout before payment.

$38.95