Last updated 3/2020 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: 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 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.
