University of Cambridge > Talks.cam > Data Intensive Science Seminar Series > Time Series Analytics for Big Data

Time Series Analytics for Big Data

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact James Fergusson.

Summary: In this talk, we will be explaining how to conduct analytics on extremely large datasets utilizing a time-series database. kdb+ is a high-performance, high volume database designed from the outset in anticipation of vast increases in data volumes. The database incorporates its own powerful query language, q, so that analytics can be run directly on the data, supporting real-time analysis of billions of records and fast access to terabytes of historical data. Learn how to use a relational time-series and columnar database as well as a tightly integrated query language capable of doing aggregations and consolidations on billions of streaming and real time historical records.

Speaker: James Corcoran

About Kx: Kx is the leader in high-performance database technology. Our analytic software platform includes the world’s fastest database system, kdb+, and integrated visualization tools for business users. For over two decades Kx has been the gold standard for performance at the top trading venues in the world, as well as in a broad spectrum of financial institutions, exchanges and regulators. Today, we are building on that success, bringing our proven Big Data technology to new markets, like retail, space, IoT and manufacturing where an explosion in digitized operational data is transforming businesses and the world economy.

This talk is part of the Data Intensive Science Seminar Series series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2020 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity