This document provides instructions for using SQL Server Integration Services (SSIS) to extract data from an Oracle Database 10g source and load it into a SQL Server destination. It begins with installing the Oracle 10g client software and testing the connection. Then it describes how to create an SSIS package with tasks to extract data from Oracle and load it into SQL Server tables. Additional transformations like data conversion and derived columns are also demonstrated. The goal is to provide an easy way for customers to interface SQL Server with an Oracle data source for extraction, transformation and loading of data.
Microsoft SQL Server 2008 R2 - Upgrading to SQL Server 2008 R2 WhitepaperMicrosoft Private Cloud
More than ever, organizations rely on data storage and analysis for business operations. Companies need the ability to deploy data-driven solutions quickly. Microsoft SQL Server 2008 R2 data management software provides a trusted, productive, and intelligent data platform that makes it possible for you to run your most demanding mission-critical applications, reduce time and cost of application deployment and maintenance, and deliver actionable insights to your entire organization.
Microsoft SQL Server 2008 R2 - Upgrading to SQL Server 2008 R2 WhitepaperMicrosoft Private Cloud
More than ever, organizations rely on data storage and analysis for business operations. Companies need the ability to deploy data-driven solutions quickly. Microsoft SQL Server 2008 R2 data management software provides a trusted, productive, and intelligent data platform that makes it possible for you to run your most demanding mission-critical applications, reduce time and cost of application deployment and maintenance, and deliver actionable insights to your entire organization.
CTE Ottawa Seminar Day - September 7th, 2012
This clinic introduces the key features and enhancements in SQL Server 2012. It is designed to provide a high-level overview of the product and the key new capabilities in this release.
This course is intended for technology managers and database professionals who want to understand the key capabilities of SQL Server 2012. In many cases, it is assumed that senior technical managers may attend this clinic in order to assess the further training that their technology-focused employees will need in order to adopt SQL Server 2012.
Presentacion sobre Analysis Services en SQL Server 2008
Ing. Eduardo Castro Martinez, PhD
Microsoft SQL Server MVP
http://ecastrom.blogspot.com
http://comunidadwindows.org
CTE Ottawa Seminar Day - September 7th, 2012
This clinic introduces the key features and enhancements in SQL Server 2012. It is designed to provide a high-level overview of the product and the key new capabilities in this release.
This course is intended for technology managers and database professionals who want to understand the key capabilities of SQL Server 2012. In many cases, it is assumed that senior technical managers may attend this clinic in order to assess the further training that their technology-focused employees will need in order to adopt SQL Server 2012.
Presentacion sobre Analysis Services en SQL Server 2008
Ing. Eduardo Castro Martinez, PhD
Microsoft SQL Server MVP
http://ecastrom.blogspot.com
http://comunidadwindows.org
Developing with SQL Server Analysis Services 201310Mark Tabladillo
SQL Server Analysis Services (SSAS) allows for integrating cubes, tabular model databases, and data mining with your developed applications and services. This talk provides a developer’s framework for understanding SSAS and its core ADOMD .NET and AMO classes. These development options will be demonstrated through application demos. This session is great for developers already working with SQL Server, who want to take their development skills to the next level.
Presentación sobre Integration Services en SQL Server 2008.
Ing. Eduardo Castro Martinez, PhD
Microsoft SQL Server MVP
http://ecastrom.blogspot.com
http://comunidadwindows.org
SQL Server Integration Services Best PracticesDenny Lee
This is Thomas Kejser and my presentation at the Microsoft Business Intelligence Conference 2008 (October 2008) on SQL Server Integration Services Best Practices
Microsoft SQL Server Analysis Services (SSAS) - A Practical Introduction Mark Ginnebaugh
Patrick Sheehan of Microsoft covers platform architecture, data warehousing methodology, and multi-dimensional cube development.
You will learn:
* How to develop and deploy data cubes using SQL Server Analysis Services (SSAS)
* Optimal data warehouse methodology for use with SSAS
* Tips/tricks for designing & building cubes over no warehouse/suboptimal source system (it happens)
* Cube processing types - How/why to use each
* Cube design practices + How to build and deploy cubes!
Vskills certified enterprise applications integration specialist with micros...Vskills
The sample material for biztalk covers the following topics mentioned.
CHAPTER 1: Introduction & Installation
Introduction
Installation
Hardware Requirements
Software Requirements
Installing Visual Studio 2005
Install BizTalk Server 2006
Configuring BizTalk Server
Get more details on the below link: http://www.vskills.in/certification/information-technology/Certified-BizTalk-Professional
This tutorial covers the topics of introduction to business intelligence with examples of BI scenarios and touches upon ETL(Extract, Transform and Load) operations using SSIS on SQL 2005 & 2008 and using DTS on SQL 2000. It contains introductions to crystal reports and SSRS. It compares Data warehouse and OLAP Cube. This tutorial concludes with topics on Data Mining and Dashboards.
Microsoft SQL Azure - Developing And Deploying With SQL Azure WhitepaperMicrosoft Private Cloud
SQL Azure is built on the SQL Server’s core engine, so developing against SQL Azure is very similar to developing against on-premise SQL Server. While there are certain features that are not compatible with SQL Azure, most T-SQL syntax is compatible. The MSDN link http://msdn.microsoft.com/en-us/library/ee336281.aspx provides a comprehensive description of T-SQL features that are supported, not supported and partially supported in SQL Azure.
SQL Server Integration Services with Oracle Database 10g
1. SQL Server Integration Services with
Oracle Database 10g
SQL Server Technical Article
Published: May 2008
Applies To: SQL Server
Summary: Microsoft SQL Server (both 32-bit and 64-bit) offers best-of breed data
integration facilities in the form of SQL Server Integration Services (SSIS). This paper
describes how you can use SSIS to easily interface with other data sources running on
the Oracle Database 10g database platform.
2. SQL Server Integration Services with Oracle Database 10g 2
Copyright
The information contained in this document represents the current view of Microsoft Corporation on the issues
discussed as of the date of publication. Because Microsoft must respond to changing market conditions, it
should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the
accuracy of any information presented after the date of publication.
This White Paper is for informational purposes only. MICROSOFT MAKES NO WARRANTIES, EXPRESS,
IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS DOCUMENT.
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2008 Microsoft Corporation. All rights reserved.
Microsoft and SQL Server are either registered trademarks or trademarks of Microsoft Corporation in the
United States and/or other countries.
The names of actual companies and products mentioned herein may be the trademarks of their respective
owners.
3. Contents
Introduction ......................................................................................................1
About SSIS ........................................................................................................1
Getting Started .................................................................................................2
Installing the Oracle Database 10g Client Software.............................................. 2
Testing the Oracle Database 10g Client Installation ............................................. 5
Building an ETL Solution in SSIS .......................................................................8
Planning the Solution ....................................................................................... 8
Creating the Solution ....................................................................................... 8
Enhancing the Solution .................................................................................. 14
Data Conversion ...................................................................................... 14
Derived Columns ...................................................................................... 17
Conclusion.......................................................................................................20