September 20-22, 2022 | UK
A recurring theme among analytics and data science leaders is the concern of not being able to keep up with all of the rapid change taking place – both individually and as a team.
Sense check your approach with like-minded industry experts, sharing insight on business-critical challenges and disruptive technology and drive your industry forward collaboratively.
September 21-22, 2022 | UK
The Striim platform is an end-to-end streaming data integration and operational intelligence solution enabling continuous query/processing and streaming analytics. With Striim, you can get to know your data and sort out whats important the instant its born. Striim specializes in integration from a wide variety of data sources transaction/change data, events, log files, application and IoT sensor data and real-time correlation across multiple streams. Add structure, logic and rules to streaming data. Define time windows for analysis. Detect outliers, visualize events of interest, and trigger alerts and automated workflows all within milliseconds. Striim is the only non-intrusive, enterprise-strength offering that combines streaming integration and intelligence in a single platform. Streaming data can be enriched with reference/historical data for instant context, at-speed and at-scale. And the entire solution can be built using a SQL-like language. Respond faster to your customers, make better decisions, and grow your business with Striim.
June 27-30, 2022 | USA
The world’s largest data and AI conference returns live, June 27-30 in San Francisco and virtually in our new hybrid format. Four days packed with keynotes by industry visionaries, technical sessions, hands-on training and networking opportunities.
May 18-20, 2022 | Netherlands
By 2022, the global big data and business analytics market is expected to generate 274.3 billion U.S. dollars a year, according to Statista. While big data collection grows in geometric progression, only about 3 percent of it merges into the big data ecosystem. This research already highlights the challenge of finding useful data amongst the rest.