PRESENTED BY

TAREQ ALEMADI

TAREQ@ALEMADI.NET@TALEMADI WWW.ALEMADI.NET

Pros and Cons of Outsourcing Your Big Data

to the Cloud

Big Data Definition

Volume Velocity

Varity

Complicity

Variability

Types of Data

Unstructured DataStructured data

Key Big Data Challenges

Understanding and Utilizing Big Data

New, Complex, and Continuously Emerging Technologies

Cloud Based Solutions

Privacy, Security, and Regulatory Considerations

Archiving and Disposal of Big Data

The Need for IT, Data Analyst, and Management Resources

Real time is a real problem

What is it?

The Advantage of Big Data

Helps for different firms like : Marketing & Retail - Finance & Banking - Governments

improve decision-making

minimize risks

Big Data can unlock significant value by making information transparent

Competitors advantage

Is it really for us? Does my company have the need? Do we really have Big Data? Do we have the resources to do Big Data projects? What will they cost? One can endlessly question the benefits vs. the risks. The more questions you have, the riskier the project will seem. -

The Disadvantage of Big Data

frequently allows decision makers to slip into a wait-and-see mind set.

Customer data . Structured and unstructured data.

The concerns about the personal privacy

Security issues

Big Data Technologies is not perfectly accurate

Why Most Big Data Projects Fail

Lack of alignment. Business and IT groups are not aligned on the business problem they need to solve but instead are tackling it from a technology perspective. Lack of true commitment from business stakeholders also makes alignment harder to achieve.

Lack of access. Access to data often is restrictive, and team members don’t have access to the data sets they need to find answers that will make the project successful.

Lack of knowledge. Many of the technologies, approaches and disciplines around big data are new, so people lack the knowledge about how to actually work with the data and accomplish a business result.

Thank You