Organizations are realizing the importance of managing their data as they would any other enterprise asset. Data Management (DM), as defined by the Data Management Association (DAMA), is the development and execution of architectures, policies, practices, and procedures in order to manage the information lifecycle needs of an enterprise.
Recognizing DAMA is an industry leader in DM, JKI uses the DAMA Data Management Body of Knowledge (DMBOK) as a foundation to define how to manage data. The JKI approach to DM has resulted in solutions that effectively organize data, maximize the quality of data, and keep data secure.
Large volumes of complex data can hide important insights. Organizations that can extract specific facts from huge volumes of data can better control processes and costs, can better predict demand, and can build better solutions. JKI solutions use fault tolerant storage systems like the HADOOP Distributed File System, or HDFS. HDFS is able to store huge amounts of information, scale up incrementally, and survive the potential failure of significant parts of the storage infrastructure without losing data.
Our Big Data & Analytics solutions/technologies include: