SAP Databricks Integration in Real-time.

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SAP Databricks CDC. No Coding Required.

BryteFlow automates SAP ETL to Databricks on AWS and Azure

ETL SAP data to your Databricks Lakehouse without any coding. BryteFlow is an ETL tool that automates workflows delivering SAP data to Databricks in real-time using CDC (Change Data Capture) to sync data with source. BryteFlow delivers ready-to-be-consumed data in Databricks on AWS and Azure, is fast to deploy and you can start getting delivery of data in just 2 weeks. How BryteFlow Works

No-Code, Real-time SAP Replication from Databases and Applications to Databricks

BryteFlow supports SAP ingestion from SAP runtime versions from the application layer and from the database layer with ease. It has flexible connections to SAP including: S/4HANA, ECC, HANA and SAP BW and older SAP versions. It supports CDS views, Extractors and Pool and Cluster tables and delivers the data to the Databricks Lakehouse with best practices built-in and complete automation. When extracting data from SAP applications, data is extracted with business logic intact, no need to re-create logic on target. SAP SLT Replication using ODP Replication Scenario

Extract SAP data at Application Level with the SAP Data Lake Builder

Databricks SAP Integration is No-Code and Real-time

  • Low latency CDC for SAP ETL to Databricks has minimal impact on source.
  • Optimized for Databricks Delta Lake best practices. Build a Data Lakehouse on S3 without Hudi or Delta Lake
  • Manages large datasets easily with parallel loading and automated partitioning mechanisms for high speed.
  • Range of automated data conversions out of the box with BryteFlow Ingest
  • Provides easy configuration of file formats and compression in Databricks Delta Lake, e.g. Parquet-snappy. BryteFlow provides analytics-ready data in Databricks so you can access and consume data immediately.
  • BryteFlow supports flexible connections to SAP including: Database logs, ECC, HANA, S/4HANA and SAP Data Services. It also supports Pool and Cluster tables. Build an automated SAP Data Lake
BryteFlow’s SAP Replication from Databases

Suggested Reading:
CDS Views in SAP HANA and how to create one
SAP ECC and extracting data from an LO Data Source
Create SAP OData Service on ADSOs and BW Queries to extract data
SAP S/4 HANA Overview and 5 Ways to extract SAP S/4 ERP Data

ETL SAP data to Databricks Delta Lake in Real-time

BryteFlow replicates SAP to Databricks with very high throughput and low latency

BryteFlow XL Ingest does the initial full refresh of data using parallel multi-threaded loading, smart partitioning and compression to load petabytes of SAP data to the Databricks Lakehouse. Subsequently BryteFlow Ingest takes over for incremental data replication using Change Data Capture to sync data with source.
Change Data Capture and the case for Automation

No-Code SAP Databricks Integration

Many SAP ETL tools involve some amount of coding to load SAP data to Azure Databricks or AWS Databricks. However BryteFlow is completely automated and self-service. The point-and-click interface is user-friendly and intuitive. BryteFlow is fast to deploy and you can start getting delivery of data in just 2 weeks.
SAP SLT Replication using ODP

Support for flexible connections to SAP

BryteFlow supports flexible connections to SAP including: Database logs, ECC, HANA, S/4HANA and SAP Data Services. It also supports Pool and Cluster tables. You can extract and ingest any kind of data from SAP into Databricks with BryteFlow.
SAP ERP, Oracle ERP and Migrating ERP to the Cloud

Cut down time spent by Database Administrators in managing the replication

When it comes to data implementation solutions, your DBAs typically spend a lot of time in managing backups, managing dependencies until the changes have been processed, in configuring full backups etc. This adds to the Total Cost of Ownership (TCO) of the solution. The replication user in most of these replication scenarios needs to have the highest sysadmin privileges. How BryteFlow Works
With BryteFlow, it is “set and forget”. There is no involvement from the DBAs required on a continual basis, hence the TCO is much lower. Further, you do not need sysadmin privileges for the replication user.
Automated SAP ETL with the BryteFlow SAP Data Lake Builder

Data from SAP to the Databricks Delta Lake is monitored for data completeness from start to finish

BryteFlow monitors your data end-to-end. For e.g. if you are replicating SAP data to Databricks at 3pm on Wednesday Aug. 24, 2022, all the changes that happened till that point will be replicated to the the Databricks Delta Lake, latest change last so the data will be replicated with all inserts, deletes and changes present at source at that point in time. BryteFlow ControlRoom will display the latency, operation start time, operation end time, volume of data ingested and data remaining.
SAP Replication at Database Level with BryteFlow

Your Data maintains Referential Integrity

With BryteFlow you can maintain the referential integrity of your data when migrating SAP data to the Databricks Delta Lake. This means when there are changes in the SAP source and when those changes are replicated to the destination (Databricks on AWS or Azure) you can point out exactly what changed, including the date, time and values that changed at the columnar level.
SAP Extraction (2 methods) with ADSOs and BW Queries

BryteFlow creates a data lake on Databricks so the data model is the same as in source – no modification needed

BryteFlow converts various SAP domain values to standard and consistent data types on Databricks. For instance, dates are stored as separate domain values in SAP and sometimes dates and times are separated. BryteFlow provides a GUI to convert these automatically to a date data type on the destination, or to combine date and time into timestamp fields on the destination. This is maintained through the initial sync and the incremental sync by BryteFlow.
SAP BW and how to create an SAP OData service for SAP Extraction

The option to archive data while preserving SCD Type 2 history

BryteFlow provides time-stamped data and the versioning feature allows you to retrieve data from any point on the timeline. This versioning feature is a ‘must have’ for historical and predictive trend analysis.
SAP ECC and extracting data from an LO Data Source

Automated Catch-up from Network Dropout

If the data replication is interrupted by a power outage or network failure, you don’t need to start the process of replicating SAP data to Databricks over again. BryteFlow automatically picks up where it left off, when normal conditions are resumed.
6 Reasons to automate the ETL Pipeline

Technical Architecture on Databricks

About SAP

SAP is an acronym for Systems Applications and Products in Data Processing. SAP is an Enterprise Resource Planning) software. It consists of a number of fully integrated modules, which cover most business functions like production, inventory, sales, finance, HR and more. SAP provides information across the organization in real-time adding to productivity and effiency. SAP legacy databases are typically quite huge and sometimes SAP data can be challenging to extract.

About Databricks

Databricks is a unified, cloud-based platform that handles multiple data objectives ranging from data science, machine learning and analytics to data engineering , reporting and BI. The Databricks Lakehouse simplifies data access since a single system can handle both- affordable data storage (like a data lake) and analytical capabilities (like a data warehouse). Databricks can be implemented on Cloud platforms like AWS and Azure and is immensely scalable and fast. It also enables collaboration between users.