Why Big Data?
Big data has received a lot of attention - some may say hype - and has seen little practical uptake in Southern Africa.
However, in Europe and the United States businesses that have adopted Big Data have achieved significant head starts over slower moving competitors.
In areas such as data driven marketing, fraud analytics, customer experience and channel optimisatoin, and even simply to reduce teh cost of running and maintaining the traditional data warehouse, big data has proven value.
What is Big Data?
Big data is confusing, particularly as every vendor and every consultant attempts to position their solution as a big data platform
Big data is frequently described in terms of the three V's - Volume (the size of the data), Variety(the complexity of multiple data sources) and Velocity (rapidly changing data).
In fact, big data must combine at least two of these attributes, making it both more complex and potentially more Valuable that traditional data sets.
The real value of big data comes from the fact that it does not require complex, time consuming data base design - like a tradtional data warehouse. The schemaless nature of big data cuts design and integration by many months allowing you to answer your complex questions in busniess time.
How is big data implemented?
Big data is typically implemented using Hadoop, an open source software framework for storing and processing big data.
Hadoop is able to store pretty much any data type (Variety), uses commodity hardware to handle large Volumes cost effectively, and scales cheaply, through distributed processing, to handle Velocity. Our solution takes advantage of these inherent strengths of Hadoop - low cost and high scalability - but adds ease of implementation and a range of management features.
The Fourth V - Value
Our focus is on unleashing this Value, the fourth V, through a combination of self service tools and a simple methodology that reduce big data's complexity and allow you to get to insight quickly