For the first time in human experience, there’s the opportunity to transform a city by listening to all of its inhabitants, individually. That’s the mission of the Jakarta Smart City (JSC) project, and it’s a major challenge in a district of some 10 million residents.
Typically, ingesting streaming event data, persisting with low latency and analyzing it along with historical event data requires integrating multiple analytic systems. IBM EventStore is purpose built to simplify the complexity of harnessing event data with a single system. Its unique architecture
Data already is the new currency and is at the heart of everything digital. I like to repeat the adage, “Data becomes Information, becomes Knowledge, becomes Wisdom”. And “It’s all about the data”. So why do we send up probes, sensors or satellites — for the data?
On June 13th 2017, Hortonworks and IBM announced an extension of our partnership. A key part of this partnership is the collaboration on IBM Data Science Experience (DSX). This collaboration is win-win in that it brings a production-ready full-cycle data science experience to Hortonworks Data
Universal connectivity is fueling streams of event data from a variety of event sources. Increasingly, organizations are developing and deploying event driven applications to harness the growing volumes of event data. IBM EventStore offers a scalable integrated system for enterprises to ingest,
In the connected world of today’s digital economy, apps, IoT devices, vehicles, appliances and servers are generating endless stream of event data. The stream of events describes what is happening over time and offers the opportunity to track and analyze things as they happen.
Why? This is a question we subconsciously answer for most things we do: why do we spend hours reviewing email or sitting on conference calls? But if we take time to consciously reflect on the “Why” of our business activities, I predict it would alter our actions and probably predicate a re-
If you’re truly data-driven, how often do you make a critical decision based solely on information from one part of the company? At the organizational level, how valuable is data when decision makers have to rely on IT (not to mention a tangle of technical and bureaucratic red tape) just to access