In this new Guide to Big Data for Finance the goal is to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively in today’s climate of working to increase the value of corporate data assets.
IBM (NYSE: IBM) announced today that Ping An Insurance (Group) Company of China, Ltd. (Ping An), the largest private insurer in the country, has implemented an IBM Software Defined Storage solution to help it speed data collection from one month to one hour, dramatically improving its ability to meet new regulatory requirements such as the annual audit and industrial data analysis.
Collibra, named a leader in the recent Forrester Wave on Data Governance Tools, announced its award-winning platform has been further optimized with the launch of advanced platform version 4.3.
Service quality is one of the most prominent reasons why customers switch banks. With credit card transactions and loyalty programs, banks possess far more data about customers than any other industry. But in spite of all the data, banks are unable to effectively deliver personalized service. The reason?
“We give Hadoop the predictability it needs, let organizations see what it’s doing (with detailed usage metrics for every user, job, and task, in real time), and help organizations get the most out of their hardware investment. We are not for the organizations that have just entered into their first Hadoop project (because they don’t rely on it… yet). We are here for those who already rely on the business-critical data and functionality Hadoop can deliver.”
“ParStream is a columnar database with a hybrid in-memory storage and a shared nothing architecture. Based on patented algorithms for indexing and compressing data, Parstream uniquely combines three core features: Analyzing billions of records in sub seconds, continuous fast import with up to 1 million rec/s and a flexible, interactive analytics engine with a SQL interface.”
“Our architecture permits tens of thousands of SSDs to be connected together and accessed in a parallel and concurrent way using direct mapping of memory accesses from a local machine to the I/O bus and memory of a remote machine. This feature allows for data transmission between local and remote system memories without the use of operating system services. It also enables a unique linear scalability of SSDs bandwidth and IOPS and consequently allows computation and data access to scale together linearly. This totally eliminates the bottleneck in bandwidth or IOPS and provides optimal dimensions of performance, capacity, and computation with an unmatched flexibility at a fraction of the costs.”