Sap Data Intelligence. This item is unavailable.Sap Data Intelligence

Manage your data landscape with SAP Data Intelligence! Begin by understanding its architecture and capabilities and then see how to set up and install SAP Data Intelligence with step-by-step instructions. Walk through SAP Data Intelligence applications and learn how to use them for data governance, orchestration, and machine learning. Integrate with ABAP-based systems, SAP Vora, SAP Analytics Cloud, and more. Manage, secure, and operate SAP Data Intelligence with this all-in-one guide!&

* Install and configure SAP Data Intelligence in the cloud or on-premise
*Govern, process, and orchestrate data workflows with tools like the metadata explorer and the SAP Data Intelligence modeler
*Use machine learning, SAP Analytics Cloud, and SAP Data Warehouse Cloud to enrich business data

Configuration
Build your SAP Data Intelligence landscape! Use SAP Cloud Appliance Library for cloud deployment, including provisioning, sizing, and accessing the launchpad. Perform on-premise installations using tools like the maintenance planner.

Capabilities
Put the core capabilities of SAP Data Intelligence to work! Manage and govern your data with the metadata explorer, use the modeler application to create data processing pipelines, create apps with the Jupyter Notebook, and more.

Integration and Administration
Integrate, manage, and operate SAP Data Intelligence! Get step-by-step instructions for integration with SAP and non-SAP systems. Learn about key administration tasks and make sure your landscape is secure and running smoothly.

*Configuration and installation
*Data governance
*Data processing pipelines
*Docker images
*ML Scenario Manager
*Jupyter Notebook
*Python SDK
*Integration
*Administration
*Security
*Application lifecycle management
*Use cases

Dharma Teja Atluri is an executive architect and artificial intelligence/machine learning evangelist at IBM. He has more than 18 years of experience working in advanced analytics with both SAP and non-SAP product lines. He has provided strategic direction to clients globally regarding the adoption of SAP and non-SAP advanced analytics products for artificial intelligence/machine learning operationalization, data management, information management, and analytics. He has also carried out multiple platform comparison initiatives for reporting, ETL, data warehousing, and data science products across IBM, Microsoft Azure, Google, Amazon Web Services, and SAP. He has led the SAP analytics (reporting and enterprise information management) portfolio for IBM India, and designed client architectures for analytics with SAP and IBM capabilities. Dharma is an IBM master certified data scientist, architect, and technical specialist, and also an IBM thought leader certified consultant. His most recent SAP Data Intelligence sprint was featured for global consumption by clients and nominated for SAP Innovation Awards.

Devraj Bardhan is an accomplished global leader for SAP Innovations at IBM. He has led several large transformation projects, driving business growth agenda through innovation and digital efficiencies. He is an established subject matter expert (SME) for SAP S/4HANA, SAP Ariba, and SAP Business Technology

Platform, growing IBM's digital transformation capability by designing and implementing global templates and intelligent workflows. He is part of the global SAP Center of Competence at IBM and works very closely with SAP incubating the next big idea.

 Santanu Ghosh is an SAP analytics practitioner working as a consultant for more than 15 years in the data warehouse space. He has worked with SAP Business Warehouse, SAP HANA, SAP BusinessObjects BI, and SAP Analytics Cloud. Recently, he has been working with the SAP Data Intelligence platform, delivering customer use cases and business content for the automotive industry. Santanu is a data science and machine learning enthusiast, and is pursuing a degree in data science. He has worked on multiple predictive analytics and machine learning projects over the past four years for a variety of industries, leveraging SAP Data Intelligence, SAP Predictive Analytics, SAP HANA Predictive Analysis Library, and SAP HANA Automated Predictive Library. He is also experienced in programming using Python and R languages.

Snehasish Ghosh is an enterprise information management consultant at IBM with more than 13 years of experience working with SAP’s analytics and information management product portfolio. He has extensive experience in data integration and migration, data quality, and reporting. He has implemented a variety of SAP and non-SAP solutions, including SAP S/4HANA, SAP Business Warehouse, Amazon Web Services, and Salesforce. He has also worked with SAP enterprise information management solutions, including SAP Data Intelligence, SAP Information Steward, SAP Data Services, and SAP HANA smart data integration and smart data quality.

Arindom Saha is an SAP business intelligence consultant with more than 11 years of experience working with the SAP analytics portfolio. He has extensive experience in SAP and non-SAP reporting and visualization products. He has implemented a variety of analytics solutions on different products, including SAP BusinessObjects BI, SAP HANA, SAP Business Warehouse, and Oracle RDBMS. He also has experience working with SAP Lumira, SAP Analytics Cloud, SAP Data Intelligence, and Tableau.