{"id":40565,"date":"2026-04-16T16:39:05","date_gmt":"2026-04-16T14:39:05","guid":{"rendered":"https:\/\/www.c-a-s.de\/financial-services\/data-management-and-analytics\/sap-business-data-cloud\/sap-databricks\/"},"modified":"2026-10-14T10:27:51","modified_gmt":"2026-10-14T08:27:51","slug":"sap-databricks","status":"publish","type":"page","link":"https:\/\/www.c-a-s.de\/en\/financial-services\/data-management-and-analytics\/sap-business-data-cloud\/sap-databricks\/","title":{"rendered":"SAP Databricks"},"content":{"rendered":"

Analytics & Reporting<\/p>\n<\/div>

SAP Databricks<\/h1><\/div><\/div>
Learn more<\/span><\/a><\/div><\/div><\/div>
<\/div><\/div><\/div><\/div><\/div>

Analytics & Reporting<\/p>\n<\/div>

SAP Databricks<\/strong><\/div><\/div>
Learn more<\/span><\/a><\/div><\/div><\/div>
<\/div><\/div><\/div><\/div><\/div>

Analytics & Reporting<\/p>\n<\/div>

SAP Databricks<\/strong><\/div><\/div>
Learn more<\/span><\/a><\/div><\/div><\/div>
<\/div><\/div><\/div><\/div><\/div>
<\/path><\/svg><\/div>
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SAP Databricks: The platform for analytics and artificial intelligence<\/div><\/div>
From Traditional Data Analysis to Machine Learning and AI Scenarios<\/div><\/div>

The use of data for artificial intelligence and advanced analytics requires platforms that can efficiently process large volumes of data and flexibly make it available for a variety of use cases. SAP Databricks extends existing data platforms with precisely these capabilities, enabling the scalable implementation of data-driven analytics and AI applications.<\/p>\n

In the context of the SAP Business Data Cloud<\/a>, SAP Databricks is specifically used to complement SAP functionality. As part of a best-of-breed approach, SAP Databricks enhances the existing data architecture with powerful capabilities for data engineering, machine learning, and advanced analytics, without replacing the existing solutions. Through bidirectional integration within the SAP Business Data Cloud, data can be seamlessly exchanged between platforms and used for further analysis and AI applications. SAP solutions<\/a>, such as SAP Datasphere<\/a>, provide data that is structured by business domain and semantically enriched, while SAP Databricks converts this data into data structures optimized for AI and analytics applications.<\/p>\n

This enables business units to flexibly implement data-driven use cases, for example in reporting and data analysis, in risk forecasting, in fraud detection, or in sales-related scenarios such as Next Best Action and the analysis of customer interactions. Departments benefit from a variety of evaluation and analysis methods, and queries can be flexibly implemented in common programming languages such as Python, SQL, R, or Scala.
\nThis results in a powerful extension of the data architecture that seamlessly integrates modern analytics use cases and artificial intelligence into existing data platforms.<\/p>\n<\/div>

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Our services<\/span><\/a><\/div><\/div><\/div>
\"SAP<\/span><\/div><\/div><\/div><\/div><\/div>
<\/path><\/svg><\/div>
<\/div><\/div><\/div>
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<\/i><\/div><\/div>
SAP Databricks: The platform for analytics and artificial intelligence<\/div><\/div>
From Traditional Data Analysis to Machine Learning and AI Scenarios<\/div><\/div>

The use of data for artificial intelligence and advanced analytics requires platforms that can efficiently process large volumes of data and flexibly make it available for a variety of use cases. SAP Databricks extends existing data platforms with precisely these capabilities, enabling the scalable implementation of data-driven analytics and AI applications.<\/p>\n

In the context of the SAP Business Data Cloud<\/a>, SAP Databricks is specifically used to complement SAP functionality. As part of a best-of-breed approach, SAP Databricks enhances the existing data architecture with powerful capabilities for data engineering, machine learning, and advanced analytics, without replacing the existing solutions. Through bidirectional integration within the SAP Business Data Cloud, data can be seamlessly exchanged between platforms and used for further analysis and AI applications. SAP solutions<\/a>, such as SAP Datasphere<\/a>, provide data that is structured by business domain and semantically enriched, while SAP Databricks converts this data into data structures optimized for AI and analytics applications.<\/p>\n

This enables business units to flexibly implement data-driven use cases, for example in reporting and data analysis, in risk forecasting, in fraud detection, or in sales-related scenarios such as Next Best Action and the analysis of customer interactions. Departments benefit from a variety of evaluation and analysis methods, and queries can be flexibly implemented in common programming languages such as Python, SQL, R, or Scala.<\/p>\n

This results in a powerful extension of the data architecture that seamlessly integrates modern analytics use cases and artificial intelligence into existing data platforms.<\/p>\n<\/div><\/div><\/div>

\"SAP<\/a><\/span><\/div>
<\/div>
Our services<\/span><\/a><\/div><\/div><\/div><\/div><\/div>
<\/path><\/svg><\/div>
<\/div><\/div><\/div>
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<\/i><\/div><\/div>

SAP Databricks: The platform for analytics and artificial intelligence<\/h2><\/div><\/div>

From Traditional Data Analysis to Machine Learning and AI Scenarios<\/h3><\/div><\/div>

The use of data for artificial intelligence and advanced analytics requires platforms that can efficiently process large volumes of data and flexibly make it available for a variety of use cases. SAP Databricks extends existing data platforms with precisely these capabilities, enabling the scalable implementation of data-driven analytics and AI applications.<\/p>\n

In the context of the SAP Business Data Cloud<\/a>, SAP Databricks is specifically used to complement SAP functionality. As part of a best-of-breed approach, SAP Databricks enhances the existing data architecture with powerful capabilities for data engineering, machine learning, and advanced analytics, without replacing the existing solutions. Through bidirectional integration within the SAP Business Data Cloud, data can be seamlessly exchanged between platforms and used for further analysis and AI applications. SAP solutions, such as SAP Datasphere<\/a>, provide data that is structured by domain and semantically enriched, while SAP Databricks converts this data into data structures optimized for AI and analytics applications.<\/p>\n<\/div>

<\/div>
\"SAP<\/a><\/span><\/div>
<\/div>

This enables business units to flexibly implement data-driven use cases, for example in reporting and data analysis, in risk forecasting, in fraud detection, or in sales-related scenarios such as Next Best Action and the analysis of customer interactions. Departments benefit from a variety of evaluation and analysis methods, and queries can be flexibly implemented in common programming languages such as Python, SQL, R, or Scala. This results in a powerful extension of the data architecture that seamlessly integrates modern analytics use cases and artificial intelligence into existing data platforms.<\/p>\n<\/div>

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Services<\/span><\/a><\/div>
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<\/i><\/div><\/div>

Our expertise<\/p>\n<\/div>

Implementation of SAP Databricks Solutions for AI, Analytics, and Data Management<\/h3>\n<\/div>

We can help you evaluate SAP Databricks and integrate it effectively into your existing data and analytics architecture. Working with you, we identify relevant use cases, develop specific deployment scenarios, and define the platform’s role in conjunction with existing systems\u2014for example, within the context of the SAP Business Data Cloud or in standalone data architectures.<\/p>\n

Based on this, we support the implementation of specific use cases, from design through prototyping and development all the way to integration into your analytics and reporting processes. In doing so, we closely involve your departments and lay the groundwork for the flexible use of SAP Databricks for advanced analytics, machine learning, and AI applications.<\/p>\n<\/div><\/div><\/div>

\"Databricks<\/a><\/span><\/div><\/div><\/div>

Seamless Integration of SAP Databricks into Your Data Architecture<\/h3>\n<\/div>

Our focus is on integrating SAP Databricks into existing data landscapes and on the targeted provision of data for analytics and AI applications.
\nWe design and implement integration scenarios in which data is structured and made available in SAP Databricks and managed via the Unity Catalog as a central metadata and governance layer, including features such as row-level security and column masking.<\/p>\n

In addition, we develop high-performance data pipelines based on Delta Tables and implement data processing workflows for batch and real-time scenarios, as well as full and delta loads. We address the traceability of data flows through automatic lineage tracking, which makes the transformations transparent and analyzable.<\/p>\n<\/div><\/div><\/div>

Services<\/span><\/a><\/div><\/div><\/div><\/div>
<\/div><\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>

Our expertise<\/p>\n<\/div>

Implementation of SAP Databricks Solutions for AI, Analytics, and Data Management<\/p>\n<\/div>

We can help you evaluate SAP Databricks and integrate it effectively into your existing data and analytics architecture. Working with you, we identify relevant use cases, develop specific deployment scenarios, and define the platform’s role in conjunction with existing systems\u2014for example, within the context of the SAP Business Data Cloud or in standalone data architectures.<\/p>\n

Based on this, we support the implementation of specific use cases, from design through prototyping and development all the way to integration into your analytics and reporting processes. In doing so, we closely involve your departments and lay the groundwork for the flexible use of SAP Databricks for advanced analytics, machine learning, and AI applications.<\/p>\n<\/div><\/div><\/div>

\"Databricks<\/span><\/div><\/div><\/div>
<\/div><\/div><\/div>

Seamless Integration of SAP Databricks into Your Data Architecture<\/p>\n<\/div>

Our focus is on integrating SAP Databricks into existing data landscapes and on the targeted provision of data for analytics and AI applications.
\nWe design and implement integration scenarios in which data is structured and made available in SAP Databricks and managed via the Unity Catalog as a central metadata and governance layer, including features such as row-level security and column masking.<\/p>\n

In addition, we develop high-performance data pipelines based on Delta Tables and implement data processing workflows for batch and real-time scenarios, as well as full and delta loads. We address the traceability of data flows through automatic lineage tracking, which makes the transformations transparent and analyzable.<\/p>\n<\/div><\/div><\/div><\/div>

<\/div>
About our services<\/span><\/a><\/div>
<\/div><\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>

Our expertise<\/p>\n<\/div>

Implementation of SAP Databricks Solutions for AI, Analytics, and Data Management<\/div><\/div>

We can help you evaluate SAP Databricks and integrate it effectively into your existing data and analytics architecture. Working with you, we identify relevant use cases, develop specific deployment scenarios, and define the platform’s role in conjunction with existing systems\u2014for example, within the context of the SAP Business Data Cloud or in standalone data architectures.<\/p>\n

Based on this, we support the implementation of specific use cases, from design through prototyping and development all the way to integration into your analytics and reporting processes. In doing so, we closely involve your departments and lay the groundwork for the flexible use of SAP Databricks for advanced analytics, machine learning, and AI applications.<\/p>\n<\/div><\/div><\/div>

\"Databricks<\/span><\/div><\/div><\/div>
<\/div><\/div><\/div>
Seamless Integration of SAP Databricks into Your Data Architecture<\/div><\/div>

Our focus is on integrating SAP Databricks into existing data landscapes and on the targeted provision of data for analytics and AI applications.
\nWe design and implement integration scenarios in which data is organized and made available in Databricks and managed through the Unity Catalog as a central metadata and governance layer, including features such as row-level security and column masking.<\/p>\n

In addition, we develop high-performance data pipelines based on Delta Tables and implement data processing workflows for batch and real-time scenarios, as well as full and delta loads. We address the traceability of data flows through automatic lineage tracking, which makes the transformations transparent and analyzable.<\/p>\n<\/div><\/div><\/div><\/div>

<\/div>
Our services<\/span><\/a><\/div>
<\/div><\/div><\/div><\/div><\/div>
<\/div><\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>
Take Advantage of Our Range of Services<\/span><\/div><\/div>
<\/i>
SAP Databricks Implementation<\/div><\/div>

Implementation and rollout of SAP Databricks as a central platform for big data analytics, data engineering, and machine learning. We help you design and implement a scalable data architecture that addresses both traditional reporting needs and advanced analytics and AI use cases.<\/p>\n<\/div><\/div><\/div>

<\/i>
Integration into the existing Overall Architecture<\/div><\/div>

Design and integration of data from various source and target systems\u2014including both SAP and non-SAP systems, whether on-premises or in the cloud. We integrate SAP Databricks into your existing data and system landscape, enabling end-to-end use of your data throughout the entire process chain.<\/p>\n<\/div><\/div><\/div>

<\/i>
Transformation of Data Pipelines<\/div><\/div>

Migration of existing data pipelines, data models, and analyses from existing system landscapes to SAP Databricks. We’ll help you optimize your data processing workflows and lay the groundwork for advanced analytics and reporting capabilities.<\/p>\n<\/div><\/div><\/div>

<\/i>
Using SAP Databricks in the Context of the SAP Business Data Cloud<\/div>\n
<\/div><\/div><\/div>

Integration of SAP Databricks into the SAP Business Data Cloud<\/a> to expand your data platform with advanced analytics and AI capabilities. We support you in defining the target architecture and integrating it into your SAP data environment so that data can be prepared and used specifically for further analysis, machine learning models, and AI applications.<\/p>\n<\/div><\/div><\/div><\/div>

<\/div>
Contact us now<\/span><\/a><\/div>
<\/div><\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>
Take Advantage of Our Range of Services<\/span><\/div><\/div>
<\/i>
SAP Databricks Implementation<\/div><\/div>

Implementation and rollout of SAP Databricks as a central platform for big data analytics, data engineering, and machine learning. We help you design and implement a scalable data architecture that addresses both traditional reporting needs and advanced analytics and AI use cases.<\/p>\n<\/div><\/div><\/div>

<\/i>
Integration into the existing Overall Architecture<\/div><\/div>

Design and integration of data from various source and target systems\u2014including both SAP and non-SAP systems, whether on-premises or in the cloud. We integrate SAP Databricks into your existing data and system landscape, enabling end-to-end use of your data throughout the entire process chain.<\/p>\n<\/div><\/div><\/div>

<\/i>
Transformation of Data Pipelines<\/div><\/div>

Migration of existing data pipelines, data models, and analyses from existing system landscapes to SAP Databricks. We’ll help you optimize your data processing workflows and lay the groundwork for advanced analytics and reporting capabilities.<\/p>\n<\/div><\/div><\/div>

<\/i>
Using SAP Databricks in the Context of the SAP Business Data Cloud<\/div>\n
<\/div><\/div><\/div>

Integration of SAP Databricks into the SAP Business Data Cloud<\/a> to expand your data platform with advanced analytics and AI capabilities. We support you in defining the target architecture and integrating it into your SAP data environment so that data can be prepared and used specifically for further analysis, machine learning models, and AI applications.<\/p>\n<\/div><\/div><\/div><\/div>

<\/div>
Get in touch<\/span><\/a><\/div>
<\/div><\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>
Take Advantage of Our Range of Services<\/span><\/div><\/div>
<\/i>

SAP Databricks Implementation<\/h4><\/div><\/div>

Implementation and rollout of SAP Databricks as a central platform for big data analytics, data engineering, and machine learning. We help you design and implement a scalable data architecture that addresses both traditional reporting needs and advanced analytics and AI use cases.<\/p>\n<\/div><\/div><\/div>

<\/i>

Integration into the existing Overall Architecture<\/h4><\/div><\/div>

Design and integration of data from various source and target systems\u2014including both SAP and non-SAP systems, whether on-premises or in the cloud. We integrate SAP Databricks into your existing data and system landscape, enabling end-to-end use of your data throughout the entire process chain.<\/p>\n<\/div><\/div><\/div>

<\/i>

Transformation of Data Pipelines<\/h4><\/div><\/div>

Migration of existing data pipelines, data models, and analyses from existing system environments to Databricks. We’ll help you optimize your data processing workflows and lay the groundwork for advanced analytics and reporting capabilities.<\/p>\n<\/div><\/div><\/div>

<\/i>

Using SAP Databricks in the Context of the SAP Business Data Cloud<\/h4>\n
<\/div><\/div><\/div>

Integrate SAP Databricks into the SAP Business Data Cloud to expand your data platform with advanced analytics and AI capabilities. We support you in defining the target architecture and integrating it into your SAP data environment so that data can be prepared and used specifically for further analysis, machine learning models, and AI applications.<\/p>\n<\/div><\/div><\/div><\/div>

<\/div>
Contact <\/span><\/a><\/div>
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When You Work With Us, You’ll Get:<\/div><\/div><\/div><\/div>
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In-Depth SAP Expertise<\/div><\/div>

\u2026 drawing on more than 20 years of experience implementing SAP projects in the banking sector, as well as extensive expertise in the SAP Business Suite<\/p>\n<\/div><\/div><\/div>

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Integration Expertise and Data Platform Know-How<\/div><\/div>

\u2026 based on many years of experience in building modern data platforms and integrating complex system landscapes, complemented by certified expertise in SAP and non-SAP technologies.<\/p>\n<\/div><\/div><\/div>

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Analytics and Banking Data Literacy<\/div><\/div>

\u2026 drawing on extensive project experience in the analysis, processing, and use of data for banking-related issues\u2014ranging from reporting to advanced analytics and AI-based use cases.<\/p>\n<\/div><\/div><\/div><\/div>

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Contact us<\/span><\/a><\/div>
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If You Work with Us, You’ll Get<\/div><\/div><\/div><\/div>
<\/span><\/span><\/span>
<\/i>
In-Depth SAP Expertise<\/div><\/div>

\u2026 drawing on more than 20 years of experience implementing SAP projects in the banking sector, as well as extensive expertise in the SAP Business Suite<\/p>\n<\/div><\/div><\/div>

<\/span><\/span><\/span>
<\/i>
Integration Expertise and Data Platform Know-How<\/div><\/div>

\u2026 based on many years of experience in building modern data platforms and integrating complex system landscapes, complemented by certified expertise in SAP and non-SAP technologies.<\/p>\n<\/div><\/div><\/div>

<\/span><\/span><\/span>
<\/i>
Analytics and Banking Data Literacy<\/div><\/div>

\u2026 drawing on extensive project experience in the analysis, processing, and use of data for banking-related issues\u2014ranging from reporting to advanced analytics and AI-based use cases.<\/p>\n<\/div><\/div><\/div><\/div>

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Contact us<\/span><\/a><\/div>
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If You Work with Us, You’ll Get<\/h2><\/div><\/div><\/div><\/div>
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In-Depth SAP Expertise<\/h3><\/div><\/div>

\u2026 drawing on more than 20 years of experience implementing SAP projects in the banking sector, as well as extensive expertise in the SAP Business Suite<\/p>\n<\/div><\/div><\/div>

<\/span><\/span><\/span>
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Integration Specialists and Cloud Experts<\/strong><\/h3><\/div><\/div>

\u2026 based on many years of experience in building modern data platforms and integrating complex system landscapes, complemented by certified expertise in SAP and non-SAP technologies.<\/p>\n<\/div><\/div><\/div>

<\/span><\/span><\/span>
<\/i>

Analytics and Banking Data Literacy<\/h3><\/div><\/div>

\u2026 drawing on extensive project experience in the analysis, processing, and use of data for banking-related issues\u2014ranging from reporting to advanced analytics and AI-based use cases.<\/p>\n<\/div><\/div><\/div><\/div>

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Contact<\/span><\/a><\/div>
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Excerpt from Our Project Examples<\/p>\n<\/div>