Extract transform and load data using microsoft ssis

655 views

Published on

Read on to know about ETL tools and how they can be configured for data warehousing.

Published in: Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
655
On SlideShare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
7
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Extract transform and load data using microsoft ssis

  1. 1. Extract, Transform and Load data using Microsoft SSISData warehousing is used as a solution by organizations to centralize business data for purposes ofreporting and analysis. SQL Server Integration Services (SSIS), a component of the Microsoft SQLServer database, is one of the most popular software used for data warehousing and migration. It alsoprovides an Extract, Transform and Load (ETL) platform for enterprise-level data integration and datatransformation solutions. ETL tools are used primarily for data management purposes to assist themovement and transformation of data from a legacy system to a target (typically a data warehouse).There are various reasons why an organization would want to use ETL tools. Most want to move out oftheir old legacy system and migrate their important data to updated new database architecture. Some wantto create an isolated area that aids reporting. Moving data to an isolated location, in a specific format, canhelp speed up queries and improve ROI for enterprises that are in a hurry to make decisions on their highlevel questions.The primary purpose of SSIS is to extract data from one or more sources files, transform the databy aggregating, filtering or manipulating it in some way and then loading the data into one ordestinations in as a specific file format. SSIS helps solve one of the most common problems thatbusinesses face today, which is the integration and manipulation of data that is stored in differentlocations.One of the important advantages of SSIS is that using it, most solutions can be built with aGraphical user interface (GUI). The GUI enables you to build a fairly comprehensive ETLsolution even if you do not have any programming skills. Microsoft SQL SSIS is best suited formedium sized organizations that are looking for an affordable data management solution.SSIS FEA TURESThe most important feature of SSIS is the Import/Export wizard that lets a user create packagesthat move data from a single data source to a destination without transformations. The Wizardhelps move data from various sources to various destination types quickly.CONFIGURING ETL TOOL SConfiguration of ETL tools can be split into three different phases: the Control Flow, the Data Flow andError Handling. All of these come as a part of the SSIS package, which is included in a project thatbelongs to a solution.Control Flow Elements: These elements carry out various functions, control the order in whichelements run and provide structure. The main control flow elements include tasks, containers,and precedence constraints. It is mandatory to include at least one control flow element in apackage.
  2. 2. Data Flow Elements: These elements are optional and carry out functions like extracting data,modifying data, and loading data into data sources. The main data flow elements include sources,transformations, and destinations. Data flow elements can be omitted in a package.Error Handling: Implementing error handling, testing and troubleshooting is a must while developingSSIS packages. SQL Server 2005 SSIS provides many ways to handle errors at different levels of theSSIS architecture. The most common error that occurs is a truncation error which is fairly easy to fix.

×