Big Data and Data Analytics Technologies

  • Friday10Mar 2017
    Engage with the public sector

    ** This is a past event **

    Participants will gain a clear understanding of Big Data concepts, how the Digital Economy is transforming traditional business models, and the technologies underpinning...

Why should you choose this course?

Big Data is a change agent that challenges the ways in which business leaders have traditionally made decisions. Used effectively, it provides accurate business models and forecasts to support better decision making across all facets of a business.

This course will provide participants with the skill set to use Big Data to gain an organisational competitive advantage. Participants will gain a clear understanding of Big Data concepts, how the Digital Economy is transforming traditional business models, and the technologies underpinning Big Data.

Who should attend?

This course is designed for Business Intelligence (BI), analytics, and Big Data professionals. It will be beneficial for business and data analysts looking to add Big Data analytics to their skill sets. Analysts and managers across any departments wanting to use Big Data for better decision making will also benefit from this course.

What is the course outcome?

  • By the end of the course, participants will be able to:
  • Explain Big Data, analytics and the Big Data ecosystem
  • Identify appropriate analytics tools and techniques to collect and analyse Big Data, and identify insights that can lead to actionable results
  • Understand how advanced analytics can create an organizational competitive advantage
  • Deploy the data analytics lifecycle to address Big Data analytics projects

What is the agenda?

  • Introduction to Big Data
  • Big Data technologies
  • Database types
  • Hadoop architecture
    • Background
    • Hadoop Distributed File System
    • Hadoop components
    • MAP Reduce
  • Spark versus Hadoop
  • Data Quality & Importance
    • Extract, Transform & Load
    • Data Governance
  • Data analytic tools
    • Review of data analytic & Business Intelligence tools market
      • SAS, SPSS, KXEN, SQL, Excel, R, Power BI, Tableau and others
    • Predictive analytic models
    • BI reporting
    • Real time analytics/In Memory Analytics
  • Data Privacy
  • Summary & Review

Who are the course leaders?

Mike Fish is the founder and CEO of BigData4Analytics Ltd, a Big Data Management Consulting firm – vendor-neutral and exclusively focused on helping enterprises make sense of Big Data.

A former Management Consultant with Price Waterhouse Coopers, he has extensive experience in advisory and transformation projects (utilities, media, etc.), and also as board member and venture investor. He is also an accredited Executive Coach and continues to mentor CEOs with Grant Thornton.

His three-decade career in international management began at Hewlett-Packard and includes Executive and Board roles in Business Performance, Logistics, IT services, IT Security and software for large supercomputers.

Jackie Down joined BigData4Analytics in 2013. An experienced, seasoned business, sales and marketing director with excellent experience impacting corporate performance.

She is a highly skilled manager with experience focused on strategic planning and creative solution development for multiple objectives.

Jackie has spent thirty years in the IT industry working for blue chip organisations, in a variety of roles. For the last twelve years she worked for the Oracle Corporation in senior sales and marketing roles running multimillion pound businesses. Prior to Oracle she worked for Teradata focusing on Data Warehousing and Business Intelligence. For the last 15 years she has been involved in the world of data!

What is the cost

techUK Members- £250.00

Non Members- £300.00 

Price (excluding VAT)

This half day workshop is a sister workshop of the Masterclass in Big Data & Analytics.

If you are not sure whether your company is a member of techUK, click here to check first to ensure you pay the correct price for the course you are booking. If you need further assistance, please do not hesitate to contact


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