Last updated 3/2020MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 414.59 MB | Duration: 2h 0m

Embrace career of the future

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

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 Ees

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.

HomePage:

Https://anonymz.com/https://www.udemy.com/course/sap-big-data-predictive-analytics-an-overview/