Book Image

Microsoft SQL Server 2012 Integration Services: An Expert Cookbook

Book Image

Microsoft SQL Server 2012 Integration Services: An Expert Cookbook

Overview of this book

SQL Server Integration Services (SSIS) is a leading tool in the data warehouse industry - used for performing extraction, transformation, and load operations. This book is aligned with the most common methodology associated with SSIS known as Extract Transform and Load (ETL); ETL is responsible for the extraction of data from several sources, their cleansing, customization, and loading into a central repository normally called Data Warehouse or Data Mart.Microsoft SQL Server 2012 Integration Services: An Expert Cookbook covers all the aspects of SSIS 2012 with lots of real-world scenarios to help readers understand usages of SSIS in every environment. Written by two SQL Server MVPs who have in-depth knowledge of SSIS having worked with it for many years.This book starts by creating simple data transfer packages with wizards and illustrates how to create more complex data transfer packages, troubleshoot packages, make robust SSIS packages, and how to boost the performance of data consolidation with SSIS. It then covers data flow transformations and advanced transformations for data cleansing, fuzzy and term extraction in detail. The book then dives deep into making a dynamic package with the help of expressions and variables, and performance tuning and consideration.
Table of Contents (23 chapters)
Microsoft SQL Server 2012 Integration Services: An Expert Cookbook
Credits
Foreword
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Logging over Project Deployment Model


While in the Legacy Deployment Model approach the logging data was recorded in the Sysssislog table, in this new model approach all logging data is stored in tables under a new database created exclusively for this approach and named SSISDB. This database supports the SSIS catalog, which is the central storage and administration point for Integration Services projects, packages, parameters, and environments.

This means that data is centralized, more complete, and anyone (with the respective permissions to the SISDB database) has the ability to build their own custom reports based on the log data. The SSIS catalog provides four different log levels—Basic (default log level), None, Performance, and Verbose.

  • None level Captures enough generic information to inform whether the package succeeded or failed and other generic information.

  • Basic level Captures the same generic information as None level and all SSIS event types except the OnProgress and OnCustomEvent...