Big Data is an extraordinary knowledge revolution that is sweeping through business, academia, government, healthcare, and everyday life. It enables us to provide a healthier life for our children, ensure safety and independence for older people, conserve precious resources like water and energy, and peer into our own individual, genetic makeup. The term “Big Data” describes the accumulation and analysis of vast amounts of information. But Big Data is much more than big data. It’s also the ability to extract meaning: to sort through masses of numbers and find the hidden patterns and unexpected correlations. You’ll learn from use cases what it takes to extract that value from Big Data, and which solutions are available to acquire, store, analyze, and act on Big Data. We will also introduce SAP Rapid Deployment solutions, which help businesses adopt Big Data solutions.
Self-paced
Language: English

Course information


Course Summary

Big Data is an extraordinary knowledge revolution that is sweeping almost invisibly through business, academia, government, healthcare, and everyday life. It already enables us to provide a healthier life for our children, ensure safety and independence for older people, conserve precious resources like water and energy, and peer into our own individual genetic makeup.

The term “Big Data” describes the accumulation and analysis of vast amounts of information. But Big Data is much more than big data. It’s also the ability to extract meaning: to sort through masses of numbers and find the hidden patterns, unexpected correlations, and surprising connections.

One of the biggest impacts of Big Data is in business. Companies that adopt “data-driven decision making” enjoy significantly greater productivity than those that do not.

In this course, you’ll learn from real life use cases what it takes to extract that value from Big Data, and which solutions are available to acquire, store, analyze, and act on Big Data. We will also introduce SAP Rapid Deployment solutions, which help businesses adopt Big Data solutions and related technology. We will demonstrate how all this is done in a live system and provide course participants with access to the system to perform the steps themselves.

During the first week of the course we will talk about the value behind Big Data. We will look at real use cases where enterprises managed to drive success based on information hidden in Big Data. We will also feature segments of the documentary about “The Human Face of Big Data”, a global media project focusing on the new ability to collect, analyze, triangulate, and visualize vast amounts of data in real time.

In the second week we take a deep dive into SAP’s Big Data solutions. You’ll learn which technologies are used to collect, integrate, and store Big Data. We also cover a range of applications and analytical tools we have at our disposal to extract the hidden secrets from massive amounts of data and drive business success.

The last three weeks are dedicated to SAP Rapid Deployment solutions, which help customers to quickly adopt key innovations in SAP Big Data solutions and technologies. You’ll learn how best practices, proven methodologies, and pre-configured content make adopting innovations simple and predictable. You will see how the SAP Big Data rapid-deployment solutions lower the complexity of implementation projects, and hence project risks, while accelerating time to value.

Course Characteristics

Course Content

  • Week 1: Introduction to Big Data
  • Week 2: Big Data Solutions
  • Week 3: Big Data Intelligence
  • Week 4: Predictive Analytics on Big Data
  • Week 5: Marketing with Big Data
  • Week 6: Final Exam

Target Audience

  • Application and technical consultants/staff
  • Pre-sales, sales, project management, and delivery management staff
  • SAP partners, customers, and internal employees
  • Anyone involved in or interested in Big Data

Course Requirements

  • Basic SAP skills

Training Systems

If your primary interest in taking this course is to get an overview of Big Data, you do not need access to a training system. However, we realize that many of you will be interested in completing the hands-on exercises based on the instructions in the course. We will provide therefore the necessary instructions and installation procedures in the respective units.

About the Instructors

Miklos Szorenyi

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Miklos Szorenyi is an SAP Field Enablement program manager, specializing in SAP HANA. Miklos works for the SAP Scale, Enablement and Transformation organization, where he is responsible for various educational and training programs in the area of analytics solutions from SAP and SAP HANA rapid-deployment solutions.

Miklos' profile on SCN

Steve Lucas

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Steve Lucas is the global president of SAP Platform Solutions, leading the go-to-market teams and strategy for Analytics, Database & Technology, Mobile, Internet of Things, and SAP HANA Cloud Platform (HCP), SAP’s platform-as-a-service (PaaS) solution.

With his primary focus on market acceleration and adoption in SAP’s core innovation areas, Steve develops and executes strategy across all markets and ensures operational excellence within the global GTM teams.

Michael Rey

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Michael Rey joined SAP 16 years ago, and has held several management positions in application analytics and marketing. He is one of the fathers of SAP hybris Marketing, and is currently responsible for the digital marketing capabilities.

Before joining SAP, Michael worked as a consultant. He holds a business management degree and a PhD in Information Management from the RWTH Aachen.

Charles Gadalla

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Charles Gadalla leads the Solution Management for advanced analytics, including SAP Predictive Analysis and SAP InfiniteInsight. Previously he was the director of the Microsoft ecosystem for SAP BusinessObjects, specializing in SharePoint integration and developing partnerships with the Microsoft technical teams for mutual collaboration. He is responsible for SharePoint, CVOM, Live Office, Google, Google Maps, BI for Duet, and Microsoft technologies.

Course contents


  • Week 1:

    Introduction to Big Data
  • Week 2:

    Big Data Solutions
  • Week 3:

    Big Data Intelligence
  • Week 4:

    Predictive Analytics on Big Data
  • Week 5:

    Marketing with Big Data
  • I Like, I Wish:

    We Love Your Feedback … And Want More
  • Final Exam

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If you would like to enroll for this course, there are no formal prerequisites or limitations. The course is free and open for everyone. Just register for an account on openSAP and go for the course!

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This course was held from Jun 23, 2015 through Aug 04, 2015.

14983 learners enrolled.

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