Real-time SAP BigQuery Migration.


SAP BigQuery Replication

Why you should use BryteFlow to load your SAP data to Google BigQuery

Replicate SAP to Google BigQuery without coding and in real-time with BryteFlow. If you need SAP BigQuery data integration, you may be thinking about which SAP replication tool to use. You also have to consider whether the tool can support replication to Google BigQuery from the SAP runtime versions or if it needs database access. More on SAP Extraction: SAP S/4 HANA Overview and 5 Ways to Extract S/4 ERP Data

BryteFlow supports both methods of SAP replication: Replication 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, SAP Data Services and SAP BW and older SAP versions. It supports CDS views, Extractors and Pool and Cluster tables and delivers the data to Google BigQuery with best practices built-in and complete automation. SAP BODS, the SAP ETL Tool

Suggested Reading:

SAP Extraction using ODP and SAP OData (2 Easy Methods)
BryteFlow for SAP: Extract SAP at Database Level
BryteFlow SAP Data Lake Builder: Extract SAP at Application Level
SAP ECC and Data Extraction from an LO Data Source

Real-time, No-Code SAP BigQuery Migration

BryteFlow replicates huge volumes of SAP data to your BigQuery database fast

When your data tables are true Godzillas, including SAP data, most data replication software roll over and die. Not BryteFlow. It tackles terabytes of data for SAP replication head-on. BryteFlow XL Ingest has been specially created to migrate huge SAP data to BigQuery at super-fast speeds.
How to Carry Out a Successful SAP Cloud Migration

How much time will your Database Administrators need to spend on managing the replication?

Usually DBAs spend a lot of time in managing backups, managing dependencies until the changes have been processed, in configuring full backups etc. which 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.

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.
Create CDS Views on SAP HANA for data extraction

No coding: SAP BigQuery integration is completely automated

Most data tools will set up connectors and pipelines to stream your SAP data to BigQuery but there is usually coding involved at some point for e.g. to merge data for basic SAP CDC. With BryteFlow you never face any of those annoyances. SAP data replication, data merges, SCD Type2 history, data transformation and data reconciliation are all automated and self-service with a point and click interface that ordinary business users can use with ease.
SAP ETL Tool that extracts data from Applications with Business Logic intact

Data from SAP to Google BigQuery is monitored for data completeness from start to finish

BryteFlow provides end-to-end monitoring of data. Reliability is our strong focus as the success of the analytics projects depends on this reliability. Unlike other software which set up connectors and pipelines to SAP source applications and stream your data without checking the data accuracy or completeness, BryteFlow makes it a point to track your data. For e.g. if you are replicating SAP data to BigQuery at 4pm on Wednesday, Nov. 3, 2021, all the changes that happened till that point will be replicated to the BigQuery database, latest change last so the data will be replicated with all inserts, deletes and changes present at source at that point in time.
SAP BW and creating an SAP BW Extractor

Data maintains Referential Integrity

With BryteFlow you can maintain the referential integrity of your data when integrating SAP in BigQuery. What does this mean? Simply put, it means when there are changes in the SAP source and when those changes are replicated to the destination (Google BigQuery) you can put your finger exactly on the date, the time and the values that changed at the columnar level.
SAP Extraction with ODP and SAP OData Services (2 Easy Methods)

Data is continually reconciled and checked for completeness in the BigQuery cloud data warehouse

With BryteFlow, data in the Google BigQuery data warehouse is compared against data in the SAP database continually or you can choose a frequency for this to happen. It performs point-in-time data completeness checks for complete datasets including type-2. It compares row counts and columns checksum in the SAP database and BigQuery data at a very granular level. Very few data integration software provide this feature.
How to Carry Out a Successful SAP Cloud Migration

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.
Simplify SAP Data Integration

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. Import any kind of data from SAP into BigQuery with BryteFlow. It will automatically create the tables on BigQuery so you don’t need to bother with any manual coding.

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

BryteFlow converts various SAP domain values to standard and consistent data types on the destination. 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 Extraction at Application Level with BryteFlow

SAP data can be easily merged with data from other sources and transformed -no coding needed

BryteFlow is completely automated. You can merge any kind of data from multiple sources with your data from SAP and transform it, so it is ready to be used at the destination for Analytics or Machine Learning. No coding required – just drag, drop and click.
SAP SLT Replication using ODP Replication Scenario

Automatic catch-up from network dropout

BryteFlow has built-in resiliency. In case of a power outage or network failure you will not need to start the SAP BigQuery replication process over again. You can simply pick up where you left off – automatically.
SAP S/4 HANA Overview and 5 Ways to Extract S/4 ERP Data

BryteFlow’s Technical Architecture

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 Google BigQuery

BigQuery is the Google Cloud Platform’s fully managed, enterprise data warehouse. It is higly flexible and separates compute and storage. BigQuery is serverless and users can use SQL to run queries. There is no infrastructure management involved and BigQuery’s scalability and distributed analysis engine enables users to run queries extremely fast. Google BigQuery has innovative built-in features like machine learning, geospatial analysis, and business intelligence.