Overview

In today’s data-driven enterprise world, real-time analytics is crucial for making faster, smarter business decisions. This course, Real-Time Analytics with SAP HANA, equips professionals with the expertise to harness the full power of SAP HANA’s in-memory computing for high-speed data analysis and reporting. Through this comprehensive program, learners will develop the practical skills needed to design, model, and manage real-time data models efficiently. Each module combines theory with hands-on exercises, helping participants implement advanced modeling and data replication techniques to achieve tangible business outcomes. What makes this course stand out is its strong focus on real-world application. You’ll not only learn the fundamentals of SAP HANA data modeling but also explore use cases and projects that simulate actual enterprise analytics environments. This course is ideal for SAP HANA data modelers, developers, consultants, and solution architects aiming to enhance their analytics expertise. A basic understanding of SAP systems and data modeling will help learners make the most of this training.

Syllabus

Kickoff - Before We Start

In this section, we introduce SAP HANA SQL, procedures, and joins for data modeling and database work.

SAP HANA Data Modeling Approach

In this section, we explore row and column storage in SAP HANA, its engine architecture, and tools for creating packages and delivery units to optimize data modeling and application performance.

Different Ways of SAP HANA Data Load

In this section, we explore methods for loading data into SAP HANA, including flat files, SLT replication, and data provisioning tools.

Creating SAP HANA Artifacts Attribute Views and Analytical Views

In this section, we create attribute and analytical views in SAP HANA, focusing on defining attributes, measures, and using star schemas for data modeling and analysis.

Creating SAP HANA Artifacts - Analytical Privileges and Calculation Views

In this section, we create restricted measures, filters, and analytical privileges in SAP HANA. We focus on building calculation views and implementing data access controls for secure and flexible data modeling.

Understanding Text Search and Hierarchies in SAP HANA

In this section, we explore Full Text Search and hierarchies in SAP HANA, focusing on text analysis, fuzzy search, and creating level and parent-child hierarchies for enhanced data organization and search capabilities.

Using Decision Tables and Transporting SAP HANA Content

In this section, we explore decision tables, currency conversion logic, and SAP HANA content transport across landscapes. Key concepts include creating decision tables and managing content deployment efficiently.

Consuming SAP HANA Data Models

In this section, we explore connecting to SAP HANA using BICS, ODBC, and JDBC. We implement reporting use cases for Analysis for Office and SAP BO Design Studio, enhancing data analysis and business intelligence capabilities.

An Introduction to Application Function Library

In this section, we explore SAP HANA's Application Function Library (AFL), including its predictive and business function components, and how they enhance in-memory computing performance.