SAP Datasphere Training

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Anubhav trainings

4:09:31

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1. Introduction.mp4

14:22

2. Will SAP Datasphere Replaces BW4HANA SAP DataSphere VS BW_4HANA.mp4

09:42

3. SAP Datasphere Architecture Overview of SAP DataSphere Overview..mp4

08:30

4. Difference between Datasphere and SAP Analytics Cloud..mp4

10:13

5. Setup Free Sap Datasphere and SAC Account Connect SAP Analytics Cloud..mp4

15:30

6. Introduction to Data Builder and Business Builder ..mp4

12:28

7. Create Table in SAP Datasphere _ Building a Table in SAP Datasphere.mp4

18:40

8. Create Graphical views in SAP Datasphere.mp4

07:57

9. Connect SAP Datasphere with SAP Analytics Cloud.mp4

07:42

10. The Power of Multi-Dimensional Models in SAP DataSphere.mp4

07:42

11. Create Analytic Model add Calculated Measure How to create calculated columns.mp4

06:31

12. Consume Datasphere Model in SAP Analytics Cloud.mp4

08:25

13. Using location dimension in SAC with Datasphere.mp4

05:04

14. Connect SAP Datasphere to BW and S4HANA.mp4

08:02

15. Connect SAP Datasphere with SAP HANA Cloud in BTP.mp4

04:44

16. How Remote data sources work in SAP Datasphere.mp4

09:04

17. Including Remote Data sources in SAP Datasphere.mp4

09:13

18. SAP Datasphere Currency Conversion in Analytic Model.mp4

06:29

19. Create your first Data Flow ETL in SAP Datasphere.mp4

22:34

20. Integrate Python script in data flows _ Introduction to Data Flow Integration.mp4

13:30

21. SQL Scripts with SAP Datasphere.mp4

11:27

22. 23 Working with Data Marketplace.mp4

06:14

23. 24 Intelligent Lookups in SAP Datasphere.mp4

13:02

24. 25 Using Intelligent Lookup in Views.mp4

06:47

25. 22 Data flows with SQL Scripts in Datasphere.mp4

05:39

Description

"Unlocking Data Potential: SAP DataSphere Essentials" "From Insight to Action: SAP DataSphere Implementation"

What You'll Learn?

Define what SAP DataSphere is and its role within the SAP ecosystem.
Explain the key components and architecture of SAP DataSphere.
Learn how to leverage SAP DataSphere for real-time data processing and streaming analytics.
Discover real-world use cases and case studies showcasing the application of SAP DataSphere in various industries and business domains.

Who is this for?

Data Engineers and Data Architects, Business Intelligence (BI) and Analytics Professionals, IT Professionals, Data Scientists and Analysts, SAP Consultants and Developers, Business Leaders and Decision Makers

What You Need to Know?

Basic understanding of data management concepts, Familiarity with SAP ecosystem, Proficiency in relevant programming languages, Understanding of cloud computing concepts, Access to SAP DataSphere etc.

More details

Description
In today's data-driven world, businesses face the challenge of managing and extracting value from vast and diverse data sources. SAP DataSphere offers a comprehensive solution for orchestrating data across heterogeneous environments, enabling organizations to harness the power of their data assets effectively.
This intensive training course is designed to equip participants with the knowledge and skills needed to master SAP DataSphere and leverage its capabilities to streamline data management, optimize workflows, and drive business innovation. Through a combination of lectures, hands-on exercises, and real-world case studies, participants will gain a deep understanding of SAP DataSphere's features, functionalities, and best practices.
Course Highlights:
Introduction to SAP DataSphere: Explore the key concepts and components of SAP DataSphere, including data integration, data orchestration, and data governance.
Data Orchestration Essentials: Learn how to orchestrate data across hybrid and multi-cloud environments, ensuring seamless connectivity and data consistency.
Data Integration Techniques: Master the art of integrating data from disparate sources, including structured and unstructured data, batch and real-time data, and streaming data.
Data Governance and Security: Understand the importance of data governance and security in maintaining data integrity and compliance, and learn how to implement best practices for data protection.
Optimizing Data Workflows: Discover strategies for optimizing data workflows and automating repetitive tasks to improve operational efficiency and reduce time to insight.
Advanced Analytics and Insights: Explore advanced analytics techniques and tools for extracting actionable insights from your data, enabling informed decision-making and driving business growth.
Real-World Use Cases: Gain practical insights from real-world use cases and success stories, demonstrating how organizations are leveraging SAP DataSphere to solve complex data challenges and achieve tangible business outcomes.
Who Should Attend:
Data Engineers
Data Architects
Data Scientists
Business Intelligence Professionals
IT Managers
Anyone interested in mastering SAP DataSphere for effective data management and analytics
Prerequisites:
Participants should have a basic understanding of data management concepts and familiarity with SAP technologies. No prior experience with SAP DataSphere is required.
Who this course is for:
Data Engineers and Data Architects, Business Intelligence (BI) and Analytics Professionals, IT Professionals, Data Scientists and Analysts, SAP Consultants and Developers, Business Leaders and Decision Makers

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Instructor's Courses

This course is created by world-class instructors Anubhav Oberoy and subject matter experts(SME). Normally, paid courses are more than 7 hours long with a deep dive into technology while covering the full-fledged project(s).Anubhav design and user experience team keep a check thus ensuring world-class content. The content is designed such that students are able to work on technologies after having a hands-on exposure to them and acquire professional techniques after completing the courses. Our instructors also help users with any questions or doubts regarding the course or coding exercise.

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