M3 2017  Keynote Addresses: Prof. Prasad K.D.V. Yarlagadda, Queensland University of Technology, Australia  Prof. Qinghua Qin, The Australian National University  Prof. Sammy L Chan, University of New South Wales, Australia Assoc. Prof. Ming Wang Fu, The Hong Kong Polytechnic University.  CMCGS 2017  Keynote Addresses: Prof. Chia-Li Wang,  National Dong Hwa University, Taiwan  Assoc. Prof. Ajay Jasra,  National University of Singapore  Dr. Birgit Loch,  Swinburne University of Technology, Australia  Dr. C. B. Gupta,  Birla Institute of Technology and Science, India.  CCECP 2017 Keynote Addresses: Prof. Spas D Kolev, The University of Melbourne, Victoria, Australia  Assoc. Prof. Suresh Valiyaveettil, National University of Singapore ORS 2017  Keynote Addresses: Prof. Chia-Li Wang, National Dong Hwa University, Taiwan  Assoc. Prof. Ajay Jasra,  National University of Singapore  Dr. Birgit Loch,  Swinburne University of Technology, Australia Dr. C. B. Gupta, Birla Institute of Technology and Science, India.  SEES 2017 Keynote Addresses: Prof C.W. Lim, City University of Hong Kong Prof. Jyh-Chiang Jiang, National Taiwan University of Science and TechnologyAssoc. Prof. Hu Jiangyong, National University of SingaporeProf. Chiew Yee Meng, Nanyang Technological University.  CBP 2017 Keynote Addresses: Prof. Richard Bryant, School of Psychology University of New South Wales, Australia Assoc. Prof. Mike W.-L. Cheung, National University of Singapore Prof. Carmen Lawrence, University of Western Australia.

Big Data for Product Sales & Marketing Executives

Introduction and Overview

Modern day businesses accumulate an astonishing amount of digital data, which can be leveraged to unlock new sources of economic value or to provide fresh insights into business trends.

Big Data Analytics delivers competitive advantage in two ways compared to the traditional analytical model. First, Big Data Analytics describes the efficient use of a simple model applied to volumes of data that would be too large for the traditional analytical environment. Second, Big Data Analytics refers to the sophistication of the model itself. Increasingly, analysis algorithms are provided directly by database management system (DBMS) vendors.

This course is specially designed to address the emerging demand of product sales and marketing expertise in big data. This course covers the concept of business analytics and big data technologies with its strategic importance to any organization.

Participants will be introduced to the concept of applying business analytics with big data technologies: Hadoop, Hive and HBase. The course deals with basic principles, concepts, and tools used for big data and business analytics, which includes data mining, Hadoop, HDFS & MapReduce, Apache HBase and Apache Hive.

Targeted Audience

  • Sales Personals
  • Sales Managers
  • Marketing Personals
  • Marketing Team Leads
  • Marketing Managers
  • Marketing Heads

Pre-requisites

NA

Course Outcomes

  • Understand business analytics and big data technologies with its impact on enterprises
  • Learn about different tools and vendors in business analytics and big data portfolio
  • Understand the big data eco system to better promote big data product sales and marketing
  • Understand the role of big data technologies (Hadoop, HBase, Hive) in business analytics

Course Outline

  • The concept of Business Analytics
  • Data, Information and Analytics Lifecycle
  • Business Analytics – Current Context
  • What is Big Data? Why Big Data?
  • The Rapid Growth of Unstructured Data
  • Big Data Market Forecast
  • Big Data Analytics
  • Big Data in Business
  • Big Data – Current Industry Trends
  • Why Process Big Data?
  • Challenges in Data Processing
  • Why Hadoop?
  • What is Hadoop offering?
  • Hadoop Eco-System
  • Hadoop Core Components
  • Hadoop – Features
  • Hadoop – Relevance
  • Hadoop in Action
  • What is HBase?
  • HBase Architecture
  • ZooKeeper
  • HBase Data model
  • HBase Deployment
  • HBase Cluster Architecture
  • HBase Applications
  • Advantages and Disadvantages
  • What is Hive?
  • Why Hive?
  • Where to use Hive?
  • Hive Architecture
  • Hive: Benefits
  • Hive: Tradeoffs
  • Hive: Real world Examples

GSTF Authorized Training Partners:

Singapore

GSTF, Global Science & Technology Forum, ATP, Authorised Training Partners, Dr Anton Ravindran, Anton Ravindran, IOT, Cloud Computing, Big Data, Data Science, Business Analytics, ICT Training, ICT Certifications, Academic Conference, CFP, Call For Papers, Singapore Conference, Architecture Conference, Nursing Conference, Healthcare Conference

RapidStart Pte Ltd
www.rapidstart.com.sg

India

GSTF, Global Science & Technology Forum, ATP, Authorised Training Partners, Dr Anton Ravindran, Anton Ravindran, IOT, Cloud Computing, Big Data, Data Science, Business Analytics, ICT Training, ICT Certifications, Academic Conference, CFP, Call For Papers, Singapore Conference, Architecture Conference, Nursing Conference, Healthcare Conference

HCL Infosystems
www.hclinfosystems.in

For Partnership enquiries, please contact partners@globalstf.org