SAP Big Data Predictive Analytics : An Overview
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SAP Big Data Predictive Analytics : An Overview

Embrace career of the future
3.8 (10 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
228 students enrolled
Last updated 12/2016
English
Current price: $10 Original price: $190 Discount: 95% off
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Includes:
  • 2 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Understand Big Data solutions what SAP is offering
  • Understand what is Big Data
  • Applications of Big Data in day to day life and Business circles
  • How to make a career switch from regular ERP solution area to new generation Analytics.
View Curriculum
Requirements
  • Basic understanding of Business Process. Basic understanding of Enterprise software, SAP
Description

Big data analytics is the process of examining large data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. The analytical findings can lead to more effective marketing, new revenue opportunities, better customer service, improved operational efficiency, competitive advantages over rival organizations and other business benefits.

The primary goal of big data analytics is to help companies make more informed business decisions by enabling data scientists predictive modelers and other analytics professionals to analyze large volumes of transaction data, as well as other forms of data that may be untapped by conventional business intelligence programs. That could include Web server logs and Internet stream data, social media content and social network activity reports, text from customer emails and survey responses, mobile-phone call detail records and machine data captured by sensors connected to the Internet of things.

Big data can be analyzed with the software tools commonly used as part of advanced analytics disciplines such as predictive analytics, Data mining, Text analytics and Statistical Analysis. 

Potential pitfalls that can trip up organizations on big data analytics initiatives include a lack of internal analytics skills and the high cost of hiring experienced analytics professionals. The amount of information that's typically involved, and its variety, can also cause data management headaches, including data quality and consistency issues. In addition, integrating Hadoop systems and data warehouses can be a challenge, although various vendors now offer software connectors between Hadoop and relational databases, as well as other data integration tools with big data capabilities.

SAP has whole range of solution for taking care of entire analytics scope.

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SAP® is a registered trademark of SAP A.G, Germany. We have no association with SAP.



Who is the target audience?
  • Those who are primarily working in SAP as Project managers, consultants and / or users.
  • Those who want to know about various Big Data solutions which SAP is offering
  • Those who want to expand their knowledge horizon.
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Curriculum For This Course
24 Lectures
02:01:42
+
About Instructor and course provider
3 Lectures 02:12

Before you make a decision, and go through the course you need to know qualifications of your instructor. This lesson gives brief over view.

Preview 00:24


General Information
00:24
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Introduction to Big Data
5 Lectures 35:14
What is Big Data
08:02

How Big Data has evolved? This lecture speaks about the journey Big Data has made over the years.

History of BigData
07:22

This lecture give detailed account of Data sources. Very engagaing and interesting lecture. Please watch out.

Big Data Sources
07:37

How Big  Data has influenced or changed everyday life of a common man. 

Preview 05:00

Lecture explains a case study related to benefits of big data when it is appled to human beings. How Big data makes one to lead enhanced an happy life.

Big Data: Digitizing Ourselves
07:13

Check your knowledge on what you have learnt
5 questions
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SAP Big Data solutions
4 Lectures 41:44

This lecture give bigger picture of SAP Solutions, tools and other techiques  This is the first stepping stone in understanding SAP's various offeringings.

SAP Big Data Solutions
12:49

This lecture give bigger picture of SAP platform, tools and other techiques for exploiting hidden value behind Big Data. This is the first stepping stone in understanding SAP's various offeringings.

Preview 07:53

For any analytical environment collection of data is most important activity. It is required to have effective tools and techniques. This lecture deals with SAP Data acquisition tools.

Data Acquisition and Integration
10:03

Very interesting lecture. You will come to know various Big Data applications  by SAP currently available in the market. This is explained in a practical way. 

Applications and Analytics
10:59

Check your knowledge on what you have learnt
3 questions
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SAP Rapid Deployment Solutions
1 Lecture 07:47

SAP is really not just to create a powerful real-time platform, but also to operationalize Big Data solutions. RDS is a solution which combines SAP software, services, and also best practices

RDS Overview
07:47

Check your knowledge on what you have learnt
3 questions
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Predictive Modelling
2 Lectures 06:23

It is mandatory to get an overview of various predicative models to strengthen our understanding. This lecture deals precisely with that. 

Modelling Overview
04:24

This lecture talks about data flow between in the entire modelling process. 

Modelling Data Flow
01:59

Check your knowledge on what you have learnt
3 questions
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Predicitve Modelling Process
7 Lectures 21:34

This lecture provided high level steps in the Modeling process.

Predicitve Modelling Process
01:17

When evaluating predictive tools, modelers should consider several functional areas to ensure a tool meets their needs. This lecture discusses the same.

Identify Goals for the Predictive Model
04:39

Selection of appropriate tool is key for an effective and useful model development. This lecture talks about the same.

Selection of appropriate modeling tool
05:56

EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task. This lecture gives an overview of Exploratory Data Analysis.

Exploratory Data Analysis
02:06

Lecture talks about types of Models and process of developing the models.

Develop the Model
04:23

Implement the selected model
01:18

Every process system need time to time updates and maintenence. This lecture talks about the need of update and how that can be done.

Maintain and update the model
01:55

Check your knowledge on what you have learnt
5 questions
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Modelling Engines
2 Lectures 06:48

R Language is backbone any preditive models and extensively used in analytics. Let us see an overview of R.

R Language : Overview
03:28

The HANA Predictive Analysis Library (PAL) is a set of predictive algorithms in the HANA Application Function Library (AFL). Lecture gives and overview.

The HANA Predictive Analysis Library : Overview
03:20

Check your knowledge on what you have learnt
5 questions
About the Instructor
Global Learning Labs, Excellence in Learning
3.6 Average rating
146 Reviews
2,336 Students
9 Courses
Delivered by Alex, Educators

Global Learning Labs is founded by a group of highly qualified educators and industry experts who have enormous experience in their respective fields. This is founded with a vision to cater knowledge and learning requirement across the globe. It specializes in providing deeply focussed, result oriented quality trainings on variety of topics from basic to advanced level. They are related to General Management, Project Management, Science, Music and Health.

The contents and resources enable learners to gain critical competencies. This will empowe them to surge ahead towards a brighter tomorrow.