CCS 2017 Keynote Addresses: Assoc. Prof. Margaret Chan School of Social Sciences Singapore Management University Prof. Jeanette Hoorn rofessor of Visual Cultures President Australia-Morocco Friendship Group Faculty of Arts Assoc.Prof. Anna Hickey-Moody Department of Gender & Cultural Studies School of Philosophical and Historical Inquiry Faculty of Arts and Social Sciences IE 2017 Keynote Addresses: Prof. Richard C. Geibel Dean of Master Program Digital Management Competence Center Entrepreneurship Germany Prof. Naresh Kumar Head of Entrepreneurship Education, Consultancy and Research Global Entrepreneurship Research and Innovation Centre Malaysia EMG 2017 Keynote Addresses:  Prof. Bennett Chi Kin Yim Associate Director of the Contemporary Marketing Centre Faculty of Business and Economics Hong KongAssoc. Prof. Humayun Murshed Faculty of Business, Justice and Behavioural Sciences AustraliaTHoR 2017Keynote Addresses:Prof. Larry DwyerTravel and Tourism Economics AustraliaAssoc. Prof. T. C. ChangDepartment of Geography Singapore HRM&PD Keynote Addresses: Prof. Adrian Wilkinson Director of the Centre for Work, Organisation and Wellbeing AustraliaAssoc. Prof. Paul HigginsHuman Resource Management Hong Kong Prof. Peter Gahan Founding Director of the Centre for Workplace Leadership 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 on Big Data for Product Sales & Marketing Executives 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