Plus, when executives are reconciling data that is pulled out of a huge source, huge volume and wide variety are going to create a new velocity challenge: the slow down on the path to actionable information.
To capture and report specific data nestled in a super large data set quickly, Style Intelligence employs technologies such as data caching and the InetSoft patented Data Block technology. Data heavy report production is accelerated through bursting, in essence, combining many reports into one larger report and automatically delivering relevant information to whoever needs it. InetSoft also offers data grid caching, scheduled retrieval and storage of a dashboard's required data, so the massive amount of time it takes the program to pull data out of a Big Data source can be metered and managed without suffering through request wait times. Combining a wide variety of approaches to technological agility speaks to the big business need for speed and results in avoiding the organizational clutter that slows down the path to decisions.
Variety is Big Data's most dynamic challenge because new data types are being produced all the time. Big challenges like nuanced or incompatible formats, incongruent data structures and relational problems, and inconsistent methods that applications use to relate their data to their businesses coalesce into an explosion of new storage and organizational needs as well as a more arduous path toward accurate reproducible analysis.
Variety comes with demand for better communication between data sources and data analyzers and visualizers, more storage space, and ever more refined query methods.