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SAP HANA Native Course – The only Analytics Course you need

⏰24 hours | ▶️ 24 Videos | 📣 49 Participants | 🔥11 Reviews

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Jan 12(1 HR A DAY)
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Jan 13(1 HR A DAY)
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 Weekday 

Jan 27(1 HR A DAY)
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Course Description

The SAP HANA Native database management system is a relational database management system built and optimised exclusively for the SAP HANA platform.

It was developed using in-memory computing technology, which enables it to do rapid data processing and real-time analytics. S/4HANA, SAP’s next-generation enterprise resource planning system, utilises it as its principal database.

Because SAP HANA Native can process both transactional and analytical workloads in real-time, it does away with the need for separate databases to store the various kinds of data.

This is one of the most essential benefits of SAP HANA Native. This allows firms to create reports, research at record rates, and make smarter choices based on real-time data.

Organisations can construct and deploy complex data models quickly and simply with the help of SAP HANA Native’s sophisticated data modelling capabilities, which include a graphical data modelling tool and in-database predictive analytics. These features enable SAP HANA Native to provide advanced data modelling capabilities.

Multi-tenancy support is another essential component of SAP HANA Native. This feature enables several applications to share a single database instance without negatively influencing the database’s overall performance.

This results in lower expenses for enterprises related to hardware and maintenance and increases their overall efficiency. Data encryption, user authentication, and access control are some of the sophisticated security elements of the database.

These features protect the data’s privacy and preserve its integrity. In addition to its technological advantages, SAP HANA Native is highly scalable, making it suited for enterprises of any size and enabling their development and expansion.

Overall, SAP HANA Native is a robust and flexible database solution that assists organisations in realising the full potential of their data and accelerating their path toward digital transformation.

Features

✅Lifetime access ✅Lifetime video access
✅Real-time case studies ✅The project integrated into the Curriculum
✅24*7 Support from our team of administrators

Course Content

1. SAP Fundamentals

  • What exactly is SAP?
  • SAP for Novices.

FAQ’s

What is SAP HANA Native?

✅SAP HANA Native provides database basics without layers or applications, data processing, advanced analytics, in-memory computing, and integration.

Instant data processing, analysis, and management are faster and more efficient. Apps are created and deployed without tools or middleware in HANA. HANA Native is fast and scalable.

What is the difference between SAP HANA and SAP Native HANA?

✅SAP HANA combines database, data processing, and application platform functions in memory. Fast, massive data processing makes it suited for real-time analytics and applications.

SAP Native HANA apps are for HANA. SAP HANA’s in-memory technologies provide real-time insights and app development.

SAP HANA is a database, data processing, and application platform, whereas SAP Native HANA develops and executes applications.

What type of database is SAP HANA Native?

✅The SAP HANA Native database management system (RDBMS) is an in-memory, column-oriented relational database management system.

What is a Native application for SAP HANA?

✅Native SAP HANA applications are customised for the platform. This application may fully use the in-memory database technology, powerful analytics, and real-time processing of SAP HANA.

Organisations utilise SAP HANA native apps to manage massive amounts of data and analyse extensive data. Developers may use SAP HANA Studio, SAP Web IDE for SAP HANA, or SAP HANA Cloud Platform.

Which data may be stored in and processed by SAP HANA Native?

✅SAP HANA can store and analyse various native data in memory. This covers organised and unstructured data from many sources and formats.

  1. Structured Data
  2. Unstructured Data
  3. Spatial Data
  4. Time Series Data
  5. Streaming Data
  6. External Data Sources.

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A few of our students

Alamara Jamadar 

HR Officer, Associate CIPD

The trainer gives knowledge of all topics through...more 

Paul Aldred 

Conversationalist at Blue Smart Fish

The experience has been extremely satisfying....more 

Kalakota V. 

Agile Integration Systems Analyst at IBM

Immeasurable online content. The tutors have...more