Sap Big Data Predictive Analytics An Overview

What you'll 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.
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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Overview
Section 1: About Instructor and course provider
Lecture 1 About Instructor
Lecture 2 About Course Provider
Lecture 3 General Information
Section 2: Introduction to Big Data
Lecture 4 What is Big Data
Lecture 5 History of BigData
Lecture 6 Big Data Sources
Lecture 7 Big Data in Everyday Life
Lecture 8 Big dаta: Digitizing Ourselves
Section 3: SAP Big Data solutions
Lecture 9 SAP Big Data Solutions
Lecture 10 Big Data Storage and Platform
Lecture 11 Data Acquisition and Integration
Lecture 12 Applications and Analytics
Section 4: SAP Rapid Deployment Solutions
Lecture 13 RDS Overview
Section 5: Predictive Modelling
Lecture 14 Modelling Overview
Lecture 15 Modelling Data Flow
Section 6: Predicitve Modelling Process
Lecture 16 Predicitve Modelling Process
Lecture 17 Identify Goals for the Predictive Model
Lecture 18 Selection of appropriate modeling tool
Lecture 19 Exploratory Data Analysis
Lecture 20 Develop the Model
Lecture 21 Implement the selected model
Lecture 22 Maintain and update the model
Section 7: Modelling Engines
Lecture 23 R Language : Overview
Lecture 24 The HANA Predictive Analysis Library : Overview
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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Sap Big Data Predictive Analytics An Overview Fast Download
Sap Big Data Predictive Analytics An Overview Full Download