Big Data Exploration The big data landscape for most enterprises is a vast wilderness. It is a growing and complex ecosystem of different data types from multiple sources, including new data from […]
Big Data is the new oil for Banking Industry. It is here to stay. McKinsey calls Big Data “the next frontier for innovation, competition and productivity.” Banks are moving to use Big […]
Graph analytics are becoming increasingly popular with several new big-data application domains such as social networks, transportation networks, ad networks, e-commerce, and web search. However, these graph analytics workloads are seen as […]
San Diego Metropolitan Transit System studies bus and trolley ridership patterns using Urban Insights’ predictive analysis platform. Data variety, data complexity, and sheer data volume have all come together in a data-driven […]
The 4 V’s of Big Data IBM data scientists break big data into four dimensions: volume, variety, velocity and veracity. This infographic explains and gives examples of each.
IBM’s recent announcements of three new services based in Watson technology make it clear that there is pressure in the enterprise software space to incorporate new technologies, both in hardware and software, […]
When analyzing big data, there’s more to the commodity vs. specialized hardware decision than meets the eye. Here’s how to pick the right servers and storage. So you want to build a […]