IoT Data: Soon the largest source of the world’s active analytics data
The Internet of Things will soon produce the majority of the world’s active data. Active data is the data that applications want to query on a regular basis hourly and daily) not just historically. Queryplex now makes it possible toRead more.
Query many data sources as one: IBM Queryplex for data analytics
Queryplex runs advanced analytics (SQL, Python, R, PySpark, etc) across many devices and data sources as though they are a single consolidated data repository. The technology can be used to erase data silos of multiple databases (e.g. Oracle, Db2, PostgreSQL,Read more.
The power of many together
IBM Queryplex rocks in part because of its unique strategy for leveraging all of the compute availability within a constellation to help process your analytics. That means if you have a constellation of 10,000 nodes you will have the processingRead more.
Inside Queryplex: Data is where it lives
Every mad scientist, geek, and hacker wants to take a look under the hood to see how the magic happens. IBM Queryplex leverages IBM incubated network technology to form self-organizing resilient clusters of data sources, combined with innovative distributed queryRead more.
The interconnectededness of things
Learn how the interconnectedness of things is creating new opportunities of analytics that create insights, and help drive deeper understand of our world, and your business. Watch hereRead more.
Data lakes, data swamps, and other mush now turning to gold
Data data everywhere. It’s so difficult to find it, query it, visualize it all. IBM Queryplex makes this process easy and remarkably scalable by using breakthrough self-discovery networking, and leveraging the polynomial power of distributed networks. These leaps in simplicityRead more.
The Internet of Things is now. But where’s the data?
The Internet of Things is now. Data devices, often mobile, all over the world. Phones, cars, household appliances, cameras, and Raspberry Pi sensors. All of these capture data, and sadly until now it has been difficult to leverage. Now with IBMRead more.