Migrating SAP data to a data lake can be a complex process, but it can also provide significant benefits, such as improved data integration, analytics, and reporting capabilities. SCIKIQ simplifies this complex process with its no-code, low-code Data fabric platform. SAP data migration is the process of extracting data from an SAP system for use in another system or for reporting and analysis. The SAP system stores a wide variety of data, including financial, sales, and production data, and this data can be extracted using a variety of methods.
With ScikIQ, you can migrate data from a full range of SAP including SAP HANA, ECC 6.0 or SAP BW with just a few clicks. Through its NO Code Data Integration and Data Transformation Platform SCIKIQ, it lets data teams effortlessly centralize all the data & build a single version of truth thereby enabling them to make faster, smarter & confident decisions using data.
There are various SAP Systems that are in use in various enterprises.
SAP ERP is an enterprise resource planning software. SAP ERP consists of several modules, including Financial Accounting (FI), Controlling (CO), Asset Accounting (AA), Sales & Distribution (SD),SAP Customer Relationship Management (SAP CRM), Material Management (MM), Production Planning (PP), Quality Management (QM), Project System (PS), Plant Maintenance (PM), Human Resources (HR), Warehouse Management (WM).
SAP Business Warehouse or SAP BW as it is better known is SAP’s enterprise data warehouse. SAP BW stores data from SAP and non-SAP sources and users can access this through built-in reporting, BI and analytics tools and even third-party software
SAP S/4 HANA is an ERP application that runs on the SAP HANA database. It is the innovative in-memory version of the Business Suite ERP platform and is based on SAP HANA’s in-memory database. SAP S/4 HANA is the abbreviation for SAP Business Suite 4 SAP HANA, denoting it is the fourth version of SAP Business Suite. SAP S/4 HANA is a next-gen ERP application and ideal as a transactional system for large enterprises.
Migrating SAP data with SCIKIQ.
SCIKIQ SAP Data Integrator comes with a rich library of functions and transformation routines that helps in migrating SAP Data from the Application, Database, or API layer to Cloud Data Lakes. ScikIQ supports SAP Data Extraction from SAP using the following methodologies
- Database Level: Extraction Framework at Database Level extracts raw data as it is being written to SAP database, transforms the data to consumable formats with the required mappings, and writes on a target database i.e., Snowflake or Vertica.
- Application Level: SCIKIQ uses Remote Function Call libraries to natively connect and extract data from remote function modules, views, tables, and queries.
- OData: SAP OData connectors allow you to browse different OData services exposed in the SAP server through its Catalog service. You can select any service of your choice, retrieve the meta-data of various entities exposed in the selected service and then design a job within ScikIQ to extract data for the given entity set.
The choice of the method to extract data from SAP will depend on the specific requirements and the data that needs to be extracted. Some methods may be more appropriate for certain types of data or for certain types of systems, while others may be more appropriate for other purposes. It’s important to evaluate the available options, and choose the best approach that meets the specific needs of the organization
Once the data is extracted from SAP, it can be used for various purposes, such as reporting, data warehousing, or data integration with other systems. It can also be used to feed a data lake, providing organizations with access to powerful big data analytics and reporting capabilities.
Migrating SAP data to a data lake requires a well-defined strategy, careful planning and execution, and ongoing monitoring and maintenance. However, with the right approach, migrating data to a data lake can unlock powerful new insights and capabilities from your SAP data.
It’s also worth noting that SAP data migration to a data lake is not always the best strategy. Instead, it’s important to understand what kind of data you’re working with and what analytics needs that data will support, then only select the data that is useful for your needs and store it in the data lake.
Furthermore, migrating data to a data lake can enable the use of big data technologies such as Hadoop and Spark, which can be used to perform advanced analytics and reporting on the data.
ScikIQ Connect i.e. SCIKIQ Data Integration layer the data teams can build and deploy Data Integration and Data Transformation Pipelines without writing a single line of Code. The engine takes care of all the complexities in the background thereby saving time and engineering effort.
ScikIQ Connect is 3 step process
- Connect to Data Store – Relational, Columnar, Big Data, API, Application, SAP, Files or Real Time Streaming data using KAFKA
2. Setup pipelines to migrate Historic Data
3. Ingest Daily/Real Time data loads through ETL Pipeline or ScikIQ KAFKA Engine
ScikIQ Connect is built using proven open-source technologies and uses a modern container-based architecture that effortlessly connects to any data store hosted on a single cloud, multiple clouds, or on a hybrid environment (on-premises + cloud). It hosts highly scalable, Cloud-agnostic, and interoperable data integration toolsets for designing and developing complex data workloads through No-code, easy-to-use, visual, drag-and-drop User Interface.