Which are the Best SAP HANA Training Institutes in Bangalore?

At Radiant TCO, famous SAP Training Institute in Bangalore offering SAP Training for both working professionals and graduating college students that comes with 10 robust years of experience in SAP Training we have both on site SAP training classes and Online SAP training on offer and you can choose the mode which suits your lifestyle and learning needs. If you are a full time working professional then you can avail our Fast Track Sap orientation course for corporate which will allow you to acclimatize yourself with SAP learning environment on weekends and off days.

SAP HANA is a flexible, data-source-agnostic appliance that enables customers to analyze large volumes of SAP SAP data in real-time, avoiding the need to materialize transformations.

SAP HANA is a hardware and software combination that integrates a number of SAP components including the SAP HANA database, SAP LT (Landscape Transformation) Replication Server, SAP HANA Direct Extractor Connection (DXC) and Sybase Replication technology. SAP HANA is delivered as an optimized appliance in conjunction with leading SAP hardware partners.

Course Information

• Duration: 40 Hours
• Timings: Week days 1-2 Hours per day (or) Weekends: 2-3 Hours per day
• Method: Online/Classroom Training
• Study Material: Soft Copy
• System Access: For 1 month

Course Content

Course Goals:

• Business Process
• How HANA Module work in R/3
• Integration with other Modules

SAP HANA Contents:

• 1. SAP HANA Overview & Roadmap (What is SAP HANA?)
• 1.1. SAP HANA in a Nutshell
• 1.1.1. Evolution of In Memory computing at SAP
• 1.1.2. History HANA
• 1.1.2.1. Early projects
• 1.1.2.2. 2005 Genesis
• 1.2. Business Impact of new architecture
• 1.2.1. Not about IT, it’s about running a real--‐time business
• 1.2.2. Increasing data volumes
• 1.2.3. Increasing number of users (mobile)
• 1.2.4. Need for Flexibility
• 1.2.4.1. Business needs driving changes in existing systems
• 1.2.4.1.1. Ad--‐hoc addition of new requirements
• 1.2.5. Operational Non--‐Disruption with a Disruptive Innovation
• 1.2.6. “Impedance Mismatch”
• 1.2.6.1. Load performance
• 1.2.6.2. Query Performance
• 1.3. In Memory Computing Basics
• 1.3.1. Faster, Better, Cheaper
• 1.3.1.1. Risk & Maturity of disk vs. memory dbms
• 1.3.1.2. Platform for the future
• 1.3.1.3. IPod example
• 1.3.1.4. Moore’s law
• 1.3.1.5. What happens when the power goes out?
• 1.3.2. Cost x GB x Second calculation
• 1.3.3. Row Store, Column Store, Persistency Layer, Architectural Concept
• 1.4. SAP HANA Architecture Overview
• 1.4.1. Engines
• 1.4.2. Tools
• 1.4.3. Data Provisioning
• 1.4.4. Data Modeling
• 1.5. SAP HANA 1.0 Use Cases
• 1.5.1. Agile Data Mart
• 1.5.1.1. HANA in Action stories
• 1.5.2. SAP Turbo Charging
• 1.5.2.1. Accelerators
• 1.5.3. BW on HANA
• 1.5.4. Application Platform (Apps powered by HANA)
• 1.5.4.1. SAP Built apps
• 1.5.4.2. Partner built apps
• 1.5.4.3. Custom apps (JAVA/ABAP/ETC)
• 1.6. SAP HANA Roadmap
• 1.6.1. HANA today
• 1.6.2. HANA 2.0 (Suite)

• 2. SAP HANA Architecture
• 2.1. Introduction
• 2.2. General Architecture Overview
• 2.3. Hybrid Row & Column store engine
• 2.3.1. Describe Row store
• 2.3.2. Describe Column store
• 2.3.3. Why a hybrid? Best of both worlds
• 2.3.3.1. Many scenarios need both transactional/metadata and it needs to be calculated/aggregated
• 2.4. Compression
• 2.4.1. Optimized for fast access to data
• 2.4.2. Partial indexing
• 2.5. Partitioning (memory allocation)
• 2.6. Delta updates
• 2.7. Insert Only
• 2.7.1. Time Traveling
• 2.8. MDX Engine
• 2.9. Calculation Engine
• 2.10. Business Content/Semantic Functions
• 2.10.1. Business Function Library
• 2.10.1.1. Currency Conversion
• 2.10.1.2. Consumable pre--‐built functions
• 2.10.2. Predictive Function Libraries
• 2.11. HANA Studio
• 2.12. Client Connectivity
• 2.12.1. Interfaces (ODBC, JDBC, SQL, MDX)
• 2.13. High Availability
• 2.13.1. Persistency
• 2.13.2. Disaster Tolerance
• 2.14. Multi--‐tenancy
• 2.15. HANA Cloud

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