BryteFlow SAP Data Lake Builder for real-time SAP ETL
Modernize your SAP Business Warehouse with an enterprise-wide SAP Data Lake
Are you looking to modernize your SAP Business Warehouse and integrate SAP data on scalable platforms like Snowflake, Redshift, S3, Azure Synapse, Azure SQL Database or SQL Server? Do you need to merge SAP data with that from heterogeneous sources in real-time, for analytics? An SAP cloud data lake is the perfect solution to manage both – storage and analytics and get the most from your SAP data. An SAP cloud data lake or SAP cloud data warehouse is an infinitely more agile, flexible, scalable and cost-effective solution.
About SAP BW and how to create an SAP BW Extractor
Build an SAP Data Warehouse. Replicate SAP data at application level in real-time, with business logic intact
If you need SAP data integration or SAP replication without hassle, BryteFlow has developed an SAP ETL tool- the BryteFlow SAP Data Lake Builder. It extracts your SAP data at the application level with business logic intact. It extracts data from SAP applications like SAP ECC, S4HANA, SAP BW, SAP HANA using the Operational Data Provisioning (ODP) framework and OData services, and replicates data with business logic intact to your SAP Data Lake or SAP Data Warehouse. You get a completely automated setup of data extraction and automated analysis of the SAP source application. Your data is ready-to-use on the target for various uses cases including Analytics and Machine Learning.
Simplifying SAP Data Integration
CDS Views in SAP HANA and how to create one
Option to extract and replicate SAP data at database level with log-based CDC
You can also extract at the database level if required, with log based CDC and extract Pool and Cluster tables with just a few clicks to your SAP Data Warehouse.
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Learn about BryteFlow’s SAP Replication at Database Level
SAP ETL Tool Highlights
The SAP ETL tool that builds your SAP Data Lake or SAP Data Warehouse without coding
BryteFlow SAP Data Lake Builder extracts and replicates SAP at application level, keeping business logic intact
The BryteFlow SAP Data Lake Builder connects to SAP at the Application level. It gets data exposed via SAP BW ODP Extractors or CDS Views as OData Services to build the SAP Data Lake or SAP Data Warehouse. It replicates data from SAP systems like ECC, HANA, S/4HANA and SAP Data Services. SAP application logic including aggregations, joins and tables is carried over and does not have to be rebuilt, saving effort and time. It can also connect at the database level and perform log based Change Data Capture to extract and build the SAP Data Lake or SAP Data Warehouse. A combination of the 2 approaches can also be used.
No-Code, Real-time, Continuous SAP Data Integration
Merges deltas automatically with initial data to keep your SAP Data Lake or SAP Data Warehouse continually updated in real-time. No coding or third-party tool like Apache Hudi is required. There is zero coding to be done for any process, including data extraction, merging, masking, or type 2 history. It automates the DDL creation with automated data type mapping and recommended keys.
Time -series data with Automated SCD Type 2 History
Maintains the full history of every transaction with options for automated data archiving. You can go back and retrieve data from any point on the timeline. This versioning feature is invaluable for historical and predictive trend analysis.
Automated data transformation – access ready data in your SAP Data Lake for Machine Learning, AI and Analytics
Transform, remodel, schedule, and merge data on your AWS data lake from multiple sources in real-time with BryteFlow Blend, our data transformation tool, and get ready-to-use data models for Machine Learning, AI and Analytics. No coding required.
Smart Partitioning and Compression of Data
BryteFlow SAP Data Lake Builder ingests data into the SAP Data Lake or SAP Data Warehouse and provides an intuitive, point-and-click interface for configuration of partitioning, file types and compression. This delivers faster query performance.
Automated Integration with Glue Data Catalog and Amazon Athena enables easy querying on the data lake
For an AWS data lake, the SAP ETL tool makes the data available on the data lake to Amazon Athena, so as the data is ingested, you can query it in Athena. The integration with Glue Data Catalog is at the API level, so there is no need to wait or schedule crawlers. Run ad hoc queries on the data lake with Amazon Athena or with Redshift Spectrum, if Amazon Redshift is part of your stack.
Enterprise grade Data Preparation Workbench for Easy Data Management on Amazon S3
You can easily separate your raw data and enriched or curated data into multiple Amazon S3 folders and manage jobs and dependencies. Categorize data easily into different levels of security classifications and maturity – from raw data through to highly curated data marts.
Deep integration with Cloud services for SAP ETL
BryteFlow SAP Data Lake Builder uses the cloud intelligently as required, and automates SAP ETL. It is embedded in the cloud and delivers high performance with low latency. It replicates data with application logic intact to SAP Data Lakes and SAP Data Warehouses on Snowflake, S3, Redshift, Azure Synapse, Azure SQL Database and SQL Server.
Modernize your SAP BW with a Cloud SAP Data Lake
Prepare and store SAP data on your data lake of choice and get SAP out of its silo. Access raw SAP data with no limits on your data lake and make data your workhorse, by putting it to several uses including Reporting, Analytics, Machine Learning, sharing with other applications, business adhoc analysis to uncover unexpected insights and joining with non-SAP data easily.
Get built-in resiliency with automatic network catch-up
The BryteFlow SAP Data Lake Builder has an automatic network catch-up mode. It just resumes where it left off in case of power outages or system shutdowns when normal conditions are restored.