Transitioning from Data Warehousing to Big Data - Meeting Business Challenges of Data Volume, Velocity and Variety

Transitioning from Data Warehousing to Big Data - Meeting Business Challenges of Data Volume, Velocity and Variety

Dates:  9 October 2018 (8.30am - 5.00pm) 
Venue: Securities Commission Malaysia
Accreditation: 10 CPE

In most business organisations, various data and information was generated by various departments such as finance, administration, marketing, production and sales departments. These data were created in a variety of data formats which may sits in numerous departmental silo setups without a central repository or a common data format.
In today’s fast moving business world with increasing data volumes and velocity, Big Data systems offer important economies of scale and scalability. Big Data systems are better at data analyses, more flexible and cost-effective in handling increasing volume and velocity of various data. Big Data ultimately offers much faster and effective way to gather useful insights from data analysis.

  • Programme Delivery

    Programme Objective

    This programme examines the business potential and significance of data exploration on Big Data platforms. It explains how business intelligence and analytics on Big Data can be used for the success of digital and business transformation initiatives in capital market business organisations.

    Learning Outcomes

    Upon completion of this programme, participants will be able to:
    • Recognise key aspects of big data and analytics
    • Compare types of current data warehousing architectures
    • Assess big data alternatives and offerings to business
    • Discuss the flexibility and cost-effectiveness of big data systems


    Interactive presentations, Discussions and Question-and-Answer (Q&A) sessions


    Functional (Technical Skills) – Digital Technology Application
  • Programme Outline

    8.30 am Registration
    9.00 am Types of Current Data Warehousing Architectures
    • Unstructured and structured data sources
    • Weaknesses and limitations of current data warehousing structures
    10.30 am Coffee Break
    10.15am What is the Big Data Alternative? What Can it Offer Businesses?
    • How to make big data analytics work for your business
    • Example - The Hadoop Ecosystem
    1.00 pm Lunch Break
    2.00 pm Why Big Data Systems are More Flexible and Cost-Effective?
    • Case studies - How big data systems handle volume, velocity, and data variety
    3.30 pm Coffee Break
    3.45 pm Case Studies - Common Practices for the Migration from Data Warehousing to Big Data Systems
    5.00 pm End of Programme
  • Programme Fees

    Normal Price
    RM 950
  • Speaker

    Speaker: ATHAR HAMEED

    Athar Hameed is a seasoned software developer and trainer based in Kuala Lumpur. Athar has been programming in Python since 2005 and had the good fortune of working with Alex Martelli (tech lead at Google and author of Python in a Nutshell). He is currently a software architect at Sam Media Sdn. Bhd. and offers software development trainings under his brand ( - Learn, build, level up! ).