Etl sap tool

Free Trial Contact Us. Qlik Replicate for SAP takes advantage of log-based change data capture CDC technology to continuously update targets for real-time insight.

An intuitive, web-based console enables administrators to quickly and easily configure, control and monitor replication tasks across a wide variety of sources and targets. Minimal impact.

High-speed cloud data transfer. Qlik Community. Change Language. In the transformation step, a series of functions or rules apply to the extracted data from the source. This derives the data for loading into the final target.

Some data sources will require very little or even no manipulation of data. Take for example if an organization has much of its data in flat files and operational systems while we build a data warehouse. We have to relate data from all of these numerous sources to handle data extracted from any of these source systems. For the data to generate reports, you need to fill the data targets with the data in the staging database.

This step only looks uncommon. Several lookups may be necessary to perform before calculating some values for the data target. Advertisement Take into account that such data transformations can be performed at one of the two stages: while extracting the data from the beginning or while loading data into the dimensional model. Clients need to wait for complete data extraction before transforming it to make sure that they can extract the data first.

Prior to extraction, if you have any information about dimensions, proceed and transform the data while extracting it. Organizations can build their own data transformation tool.

This is the ideal way for a small number of data sources that reside in the same type of storage. Because of the similar system architecture and common data structure, the work involved in developing the needed transformation lessens.

This method also saves license costs and training the employees in the new tool. However, if the transformations become more refined during the time or there is a need to integrate other systems, the intricacy of such an ETL system raises and the manageability falls considerably.

Also, building an own tool from scratch often is a waste of time. For example, you can perform customized calculations. If you want sum-of-sales revenue and this is not in database, you can apply the SUM formula during transformation and load the data.

For example, if you have the first name and the last name in a table in different columns, you can use concatenate before loading. During Load phase, data is loaded into the end-target system and it can be a flat file or a Data Warehouse system.

Sanjo Thomas. Neha Gupta. Sumit Agarwal. Neha Malik. ETL - Introduction Advertisements.