SAP ETL Tools


ETL (Extract, Transform and Load) Tools for Today’s Analytics

Companies are looking to integrate and analyze data on SAP Business Warehouse or on other platforms like Snowflake, Azure Synapse, and Google BigQuery to generate insights for their decision making. Merging varied SAP data from heterogeneous sources in real-time is a challenge, which is exacerbated by the prevalence of both structured, unstructured, and semi-structured data.

ETL (extract, transform, and load) is the process in which the data is extracted from any data sources and transformed into a proper format for storing and future reference purposes. The data is loaded into a database or data warehouse.

ETL (Extract, Transform and Load) Tools for Today’s Analytics

Companies are looking to integrate and analyze data on SAP Business Warehouse or on other platforms like Snowflake, Azure Synapse, and Google BigQuery to generate insights for their decision making. Merging varied SAP data from heterogeneous sources in real-time is a challenge, which is exacerbated by the prevalence of both structured, unstructured, and semi-structured data.

ETL (extract, transform, and load) is the process in which the data is extracted from any data sources and transformed into a proper format for storing and future reference purposes. The data is loaded into a database or data warehouse.

ETL tools are used to route data to and from the various SAP and non-SAP systems. They can transform data into different formats depending upon source and destination systems. They also can be used for cleaning the data by running some checks. ETL tools can ensure that rules on how to extract and transform data outside of an application are maintained and utilized.

ETL tools are used for the management of the ETL pipelines. They can extract the data from several data sources by connecting with the databases and storing the data in a data warehouse so that they can be used for reporting and analytics. They may also provide testing of the data pipelines and reporting of the executed runs. The advantage of ETL tools is that they do require limited user intervention.

Some type of ETL tools today include

  • Enterprise software tools, such as those from SAP, which are application-based tools provided as a product by several large software companies.
  • Cloud-based ETL tools are provided by many cloud providers as service when clients store data on a cloud platform.
  • Open-source ETL tools are free-to-use software that can be be cloud-based or on-premise.
  • Reverse-ETL tools are the opposite of the ETL or ELT process where the data flows into the data warehouse.

625 results

  1. 24 BW Design and Data Modeling Tips for Optimal ETL

    Reading time: 17 mins

    In terms of performance, you get the biggest return on ETL optimization in the design and modeling stages. We give you tips in six categories: general design and data modeling, PSA design, InfoCube design, ODS design, Dimensions and characteristics design, and aggregates.   The extract, transform, and load (ETL) process is a key aspect of...…

  2. SAP Data Services Part 3: How to Extract, Transform, and Load Data into SAP HANA

    Reading time: 17 mins

    Examine and compare the classic SAP Data Services approach for extracting, transforming, and loading (ETL) processes to the functionality that is native to SAP HANA to determine optimal integration. Key Concept Certain extract, transform, and load (ETL) processes have been pushed to SAP HANA, which directly affects the integration with SAP Data Services. ETL is...…

  3. Performance Tuning Strategies to Optimize Your SAP Data Services Environment

    Reading time: 13 mins

    Step beyond traditional database tuning concepts, such as indexing and partitioning, and get expert tips to move toward a parallel approach for code design and job construction. Examine parallel execution within SAP Data Services to see how it distributes operations and uses the strengths across your system. Get expert advice on leveraging the pushdown capabilities...…

  4. SAP Data Services: How to Extract, Transform, and Load Data into SAP HANA

    Reading time: 15 mins

    Examine and compare the classic SAP Data Services approach for extracting, transforming, and loading (ETL) processes to the functionality that is native to SAP HANA to determine optimal integration. Membership Required You must be a member to access this content.View Membership LevelsAlready a member? Log in here

  5. Lessons Learned from an SAP HANA Cloud Platform Implementation

    Reading time: 19 mins

    Key principles and facts are included in this overview of the design and implementation of a cloud application on SAP HANA Cloud Platform. Key Concept Applications consume and expose web service application program interfaces (APIs) that facilitate the re-usability of the capabilities of an application and support the integration into other applications. The following solution...…

  6. An Insider’s Guide to SAP BusinessObjects and SAP NetWeaver BW: What Tools Should You Use Going Forward?

    Reading time: 17 mins

    Delve into the reporting and analysis tools available with SAP BusinessObjects and SAP NetWeaver BW. Find out when to use which tool, where to find it, and who should be the one using it. Learn which BEx tools SAP will continue to develop and which SAP BusinessObjects tools you should consider for your long-term reporting...…

  7. The Failed Promise of Cloud ETL

    Reading time: 5 mins

    With the constant explosion of new data sources and applications, both public and private, the old way doesn’t scale, period. What does scale is Precog’s concept of “just-in-time data sources.”

  8. Making Sense of ABAP-Based Interface Technologies in the Modern IT Landscape

    Reading time: 15 mins

    Survey modern ABAP-based interface technologies supported by SAP NetWeaver Application Server ABAP (AS ABAP). Look at the pros and cons of each technology and identify typical usage scenarios. Develop a decision table that can be used to determine when and where to apply specific interface technologies. Key Concept In the past several years, the SAP...…

  9. 5 Best Ways to Import Non-SAP Data into BW

    Reading time: 21 mins

    Weigh the benefits and drawbacks of the five most popular ways of importing non-SAP data into your BW system. Key Concept Getting external data into BW is usually more challenging than retrieving data from SAP systems. A variety of different methods exists, such as flat files; DB Connect; Universal Data Connect; third-party extraction, transformation, and...…

  10. An Introduction to SAP Predictive Analytics 2.0 and SAP HANA Predictive Tools

    Reading time: 64 mins

    In this exclusive report by Hillary Bliss, take a walk into the world of the SAP suite of predictive tools with an in-depth tour of the new SAP Predictive Analytics 2.0 and how it ties into SAP HANA and SAP Lumira. Learn the importance of general predictive modeling concepts, and then apply those concepts as...…