Big Data

Big Data – What Is It?

The term big data is used to describe the exponential growth, availability and use of both, structured and unstructured information.

Big Data is more than just a large amount of information. It is defined by having one or more of these traits:

Diversity – Data coming from both internal and external sources that is structured, unstructured and semi-structured.

Volume – A huge amount of detailed data coming from a variety of sources such as applications, the Internet, mobile devices and social media.

Velocity – The speed at which data changes is swift, including batch, near real-time, real-time and streaming.

Two other dimensions should also be considered when thinking about big data: Variability and Complexity.

Ultimately, regardless of the factors involved, we believe that the term big data is relative; it applies (per Gartner’s assessment) whenever an organization’s ability to handle, store and analyze data exceeds its current capacity.

Big data solutions from CimpleSoft

How can you make the most of all that data, now and in the future? It is a twofold proposition. It is very important to weave analytics into your big data solution to optimize your success and to manage big data.

Why Choose CimpleSoft?
CimpleSoft expert consultants know how to create the ideal environment suited to your business needs. They carefully determine all components of a Big Data platform required for advanced analytics on the combined power of data sets from your data warehouse and Big Data.

Our consultants bring extensive experience and industry-specific leading practices to tackle virtually any BI challenge. We leverage a comprehensive understanding of how to manage and use information effectively, which performance metrics matter most to different industries, and what tools and techniques transform data sources into actionable insights.

CimpleSoft’s Big Data Practice helps clients achieve breakthrough performance and scalability to gain a competitive edge in the following areas:

Prototype Assessment – Ideally suited for assessing real-time business challenges involving the processing of in-motion Big Data

Implementation – Solve a critical business problem using Big Data technology

Big Data Demo and Visualization – The resulting application can use active client data to demonstrate capability

Consulting and Support – On-site consulting and remote support models provide flexibility

Infrastructure Assessment – Ability to assess the existing infrastructure to determine if it can support Big Data needs and make recommendations