Adaptive Computing's formula: Workflow management + Big Data = Big Workflow
Adaptive Computing aims to apply its experience in managing HPC workflows -- using its Moab HPC Suite -- and help companies manage big data workloads.
Adaptive Computing aims to apply its experience in managing HPC workflows -- using its Moab HPC Suite -- and help companies manage big data workloads.
Enterprises are increasingly focused on using big data and analytics to help them better understand both the requirements of their customers, trends and patterns of customer activity and this requires a different approach. Dell says that this trend means that enterprises need a new type of leader, a chief data scientist, to help ask the right questions, in the right way and drive the transition to the data-driven enterprise.
Making sense of operational data can be difficult. AppFirst thinks it has the solution - bring together big data techniques, sophisticated data collection technology and a management dashboard designed for DevOps. Good idea, but haven't we seen this before?
Developing low latency orchestration tools that can accelerate technical and big data applications requires vast knowledge of cluster and grid computing dynamics. IBM just released the results of several benchmarks that demonstrates mastery of that arcane knowledge.
Organizations that have maintained their investment in traditional SQL-based databases -- and are seeing the limitations of these databases -- have started adding No-SQL and Big Data databases to their portfolio. FoundationDB believes its database can do it all.
Big Data is an exciting catch phrase and suppliers of all types of software are trying to link their products to this concept. OpTier lauches BDA hoping to tie industry interest in Big Data to its application performance management products by adding real-time analysis of in-context transaction system operational data.
Developers who are already familiar with relational-database and intend to work in a cloud computing environment like Amazon Web Service are likely to find NuoDB's technology interesting and are likely to learn that it solves many scalability and high availability issues.
Often the focus of the industry is on the tools used in big data applications. Revolution Analytics believes that we need to remember the human element too.
Organizations need to compile and hold larger amounts of data. Many big data tools are useful when the goal is discovery and analysis of that data. What needs to be done if a transactional system needs access to a huge, rapidly changing data store.
Big Data tools often require that analysts already know what they're looking for when setting up data gathering and statistical analysis. 1010data developed a micro-segmentation wizard to make that process easy.