big data SemINar
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Big Data is simply huge amounts of data that are too large and complicated such that generic data processors are unable to process. The challenges that are faced today in the realm of creating meaningful data from raw data, ranges from analyzing, storage and transferring of data to content privacy and content accessibility.

This exploding trend in data has become the primary base for firms to compete in terms of growth in their productivity and new innovations. Big data changes the way people work in organizations whilst realizing the actual value of data. Some of the applications used in the GCC today are centered on customer engagement, reducing threats and risks, efficiency in operational activities and decision making to increase revenue.

Knowledge Oasis Muscat (KOM), the technical arm of the Public Establishment for Industrial Estates (PEIE) is pleased to invite you and your colleagues to attend the above mentioned seminar which will be held at Crown Plaza Hotel – Muscat on (Mon &Tue), 7th - 8th of September, 2015 at 10 am to 1pm. To book your seat now, kindly click here.

Objectives Of The Seminar:
  1. Proactive approach: data privacy, security systems and control
  2. Big data provides tremendous value along with its share of risk. Organizations must ensure that their systems are in sync with ethical, governmental and company insights.
  3. Create effective and bespoke models with the help of big data
  4. Implementation of systems, that are data driven for market niches, product innovation and lowering expenditure in companies while coexisting with present work systems to enable smooth business transactions.
  5. Embracing the new roles and responsibility of data analyst’s
  6. There is an emergence of the new requirements of data analysts or data scientists to fill the gap in the market.  Skills training, data development centers and labor transfer are needed to fully take advantage and be ready for the future data management.
Aims:
  • What is Big Data and how to utilize it?
  • Big Data technologies and how to decide the best for your organization
  • Data Integrity 
  • Best practices of Big Data