bigdata2

Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. This data is big data.

Big data is changing the way people within organizations work together. It is creating a culture in which business and IT leaders must join forces to realize value from all data. Insights from big data can enable all employees to make better decisions—deepening customer engagement, optimizing operations, preventing threats and fraud, and capitalizing on new sources of revenue.But escalating demand for insights requires a fundamentally new approach to architecture, tools and practices

The information management of big data and analytics capabilities include:

  • Data Management and Warehouse: Gain industry-leading database performance across multiple workloads while lowering administration, storage, development and server costs;Realize extreme speed with capabilities optimized for analytics workloads such as  deep analytics, and benefit from workload-optimized systems that can be up and running in hours.
  •  Hadoop System: Bring the power of Apache Hadoop to the enterprise with application accelerators, analytics, visualization, development tools, performance and security features.
  • Stream Computing: Efficiently deliver real-time analytic processing on constantly changing data in motion and enable descriptive and predictive analytics to support real-time decisions. Capture and analyze all data, all the time, just in time. With stream computing, store less, analyze more and make better decisions faster.
  • Content Management: Enable comprehensive content life-cycle and document management with cost-effective control of existing and new types of content with scale, security and stability.
  • Information Integration and Governance: Build confidence in big data with the ability to integrate, understand, manage and govern data appropriately across its life-cycle.

Those who will benefit most from the program include:

  • Business Managers
  • Business Intelligence Analysts
  • Information Technology Practitioners
  • Researchers
  • Data Journalists
  • Marketing managers

Program Format

The program combines both theory and practice. It is highly practical course and is therefore run in a computer laboratory with a workstation (with required software tools installed) provided to each participant.

Venue

The trainings are held at @iLabAfrica Research Centre, Strathmore University.

Value add to Participants

• Hands-on experience through practical sessions.

• A globally recognized IBM Big Data Engineer Certificate awarded to each participant upon successful completion of the course.

Quick Information

Next Intakes

  • 5th June 2017-28th July 2017. ( 5.30 pm-8.30 pm)

Pre-qualification

Knowledge in Databases and scripting languages will be an added advantage.

Program Duration

This is a 6 weeks evening course running from 5:30 pm to 7:30 pm .

Program cost

KShs. 40, 000 per participant. This covers the training fee, laboratory fees and certificates

(Please note that this fee is subject to review)

Queries

  • fbalala@strathmore.edu /
  • Andrew.ruto@strathmore.edu

Registration Link

Apply to take part in the program here.

Register Online