ETL Tool: Save Time and Increase Productivity

Etl (Extract, Transform, Load) is the process that transform function works with acquired data. Extract, Transform, Load are three database functions, combined into one tool to pull data out of one database and place it into another database. ETL tools are useful long after you've loaded your information into a warehouse or database because they so effectively store, update and manage your information.

With the use of ETL software tools you can save your organization time and money in terms of increased productivity. Let us briefly describe each step of the ETL process.

Extraction: Extraction refers to Extracting data from different internal and external, structured and unstructured source. The main function of the extraction is to convert all data into a specific format for transformation processing.

Transform: Transform process is a set of rules that transform the data from the source to the target. With the transform process it becomes very easy to merge tables, filter and sort the data using specific attributes. Transformation also requires joining data from several sources deriving new calculated values, and applying advanced validation rules.

Loading: The process of loading referred to as data integration process. Loading manages processes like data migration, data consolidation, data synchronization and data cleansing. In order to make the load process efficient, it is helpful to disable any constraints and indexes before the load and enable them back only after the load completes.

ETL Tools for Extract, Transform, & Load Process

Have you ever heard of data warehousing tools? You might be nodding your head saying YES if you belong to the business world. Well, data warehousing tools are the tools that can be used to support data warehouse operations at different levels. In simple words, these software applications that are needed for the ETL, short for Extract, Transform, Load process.

Also known as ETL tools, these tools first extract and transform data from several operational systems and then load the transformed data into the data warehouses. These further assist managers or end users in the business through the decision-making process. Not to your surprise, ETL process involves a set of complex activities. Therefore, to facilitate and smoothen the ETL process, it is recommended to employ the right ETL tools.

Most of the companies these days, either buy data warehouse tools from third party vendors or develop their own tools. To do this task efficiently, companies seek help of the in-house programmers. However, when the data transformation requirements go beyond the managing ability, then companies should seek the help of third party tools.

In order to find the best data warehouse tools, it is wise to browse online portals. Since, the internet is flooded with a line of such tools, you will not find much difficulty in locating the best one. Before making a choice, it is recommended to go through the comments and reviews of the customers who have already bought these tools. This may take some time, however never overlook the comments.

ETL Tools: The Perfect Platform to Have Data Connectivity Solutions

Not to your surprise, ETL is powerful application that can simplify, automate and execute significant integration processes. The ETL tools are taken into consideration for creating and populating data marts from a line of internal or external database resources. Besides these, data conversion is the main feature of these tools that can convert any format into any. For example, XML can be converted into CSV, HIPAA into XML, HL7 into XML and a lot more.

If you look closely, then you will find that the main objective of ETL tools is to extract, transform and load records of data from source to another. Therefore, this accelerates the data integration process of enterprises. Given are the THREE main components of these tools:

•  Central Repository: This is the point, where all the rules and mapping objects of a business are saved.

• Design Studio: This offers wizard-driven and geo-graphical ability to the business rules, as these are related with the validations and mapping processes.

• Run-time Execution Engine: This is the point, where the flow transactions and mapping rules are executed, during incoming files or messages.

Now, have a look at the key capabilities of ETL tools:

• Data Mapping: The tools should be designed graphically and web-based, as these really make it easy to specify conversion, validation and cleansing rules.

• Data Schemas and Transport: Whether it is a Text, CSV, XML, EDI, HIPAA, ACORD AL3, or any Fixed-Length file format, the tools support processing of data in any format.