Sap Datasphere Training
Published 5/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.15 GB | Duration: 4h 10m
Published 5/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.15 GB | Duration: 4h 10m
"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.
Requirements
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.
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 EngineersData ArchitectsData ScientistsBusiness Intelligence ProfessionalsIT ManagersAnyone interested in mastering SAP DataSphere for effective data management and analyticsPrerequisites:Participants should have a basic understanding of data management concepts and familiarity with SAP technologies. No prior experience with SAP DataSphere is required.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Will SAP Datasphere Replaces BW4HANA SAP DataSphere VS BW_4HANA
Lecture 3 SAP Datasphere Architecture Overview of SAP DataSphere Overview.
Lecture 4 Difference between Datasphere and SAP Analytics Cloud.
Lecture 5 Setup Free Sap Datasphere and SAC Account Connect SAP Analytics Cloud.
Lecture 6 Introduction to Data Builder and Business Builder .
Lecture 7 Create Table in SAP Datasphere _ Building a Table in SAP Datasphere
Lecture 8 Create Graphical views in SAP Datasphere
Lecture 9 Connect SAP Datasphere with SAP Analytics Cloud
Lecture 10 The Power of Multi-Dimensional Models in SAP DataSphere
Lecture 11 Create Analytic Model add Calculated Measure How to create calculated columns
Lecture 12 Consume Datasphere Model in SAP Analytics Cloud
Lecture 13 Using location dimension in SAC with Datasphere
Lecture 14 Connect SAP Datasphere to BW and S4HANA
Lecture 15 Connect SAP Datasphere with SAP HANA Cloud in BTP
Lecture 16 How Remote data sources work in SAP Datasphere
Lecture 17 Including Remote Data sources in SAP Datasphere
Lecture 18 SAP Datasphere – Currency Conversion in Analytic Model
Lecture 19 Create your first “Data Flow” –ETL in SAP Datasphere
Lecture 20 Integrate Python script in data flows _ Introduction to Data Flow Integration
Lecture 21 SQL Scripts with SAP Datasphere
Lecture 22 23 Working with Data Marketplace
Lecture 23 24 Intelligent Lookups in SAP Datasphere
Lecture 24 25 Using Intelligent Lookup in Views
Lecture 25 22 Data flows with SQL Scripts in Datasphere
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