Salle Galera 127 le 23-06-2014, 11h
Organisé par l’équipe Zenith
In-Memory Analytics: Accelerating Business Performance
Antoine Chambille, Romain Colle
QuartetFS, Paris
The Big Data trend is a rebirth for Business Intelligence. On the one hand the web companies use technologies like Hadoop to extract value from data previously out of reach, because it is too big or because it is not structured. On the other side the new databases that store the data in-memory reach levels of performance such that they can perform complex and interactive analysis on live data that changes in real-time.
In concrete terms those In-Memory databases are the foundation for a new generation of business applications that bring the power of analytics to the hands of the decision makers who “run the business”.
Through this crash course on In-Memory technology, we will see through practical examples the competitive advantage it already brings to the best-performing organizations in the fields of e-commerce, logistics and finance.
About the speakers
Antoine Chambille is Head of Research and Development at Quartet FS. He joined Quartet FS soon after its creation back in 2005 and has been leading the team in charge of designing, developing and supporting Quartet FS’s in-memory analytics solutions. As one of the first employees, Antoine was heavily involved in the design of ActivePivot Server, Quartet FS’ in-memory OLAP engine.
Before joining Quartet FS, Antoine worked several years for a consulting firm specialised in the financial sector. From his years in consulting, he developed a strong customer orientation and he is keen on keeping a close eye on customers’ use cases. Antoine graduated from Ecole Polytechnique and Telecom Paris.
Romain Colle is a Project Manager within the Research and Development team of Quartet FS. He designed and developed Sentinel, QuartetFS’ flagship monitoring solution, and led the development efforts on ActivePivot’s Distributed Architecture. Romain has been involved in large ActivePivot projects such as Societe Generale in Paris, J.P.Morgan in London and DekaBank in Frankfurt. He joined Quartet FS in 2010 after 3 years spent at Oracle’s Headquarters in Redwood Shores where he contributed to the development of their core database. Romain is graduated from the Stanford University (he holds a Master of Science in Computer Science) and from “Centrale” in Paris”.
About Quartet FS and ActivePivot
Quartet FS provides business users with instant insight into massive amounts of data streaming at high frequency for timely and context-aware decision-making. Using Quartet FS’ in-memory aggregation engine ActivePivot, organisations are able to build 24×7, sense-and-respond applications that help them accelerate business performance, optimize operations, reduce operational risk and react to the unexpected.
Created in 2005, Quartet FS is a privately owned company with offices in Paris, London, New York, Hong Kong and Singapore. With more than fifty live implementations in large international groups, the company serves customers operating in time-sensitive and data-intensive environments such as financial services, market exchanges, logistics, transportation, and retail.
ActivePivot allows business users to be able to extract actionable intelligence from massive amounts of fast moving data – enabling them to make informed decisions on the spot. An in-memory Hybrid Transactional and Analytics Processing engine, ActivePivot aggregates data from multiple sources and processes multi-dimensional queries at unparalleled speeds on data that is updated on the fly.
As a result, business users are able to:
- Focus on what really matters by pinpointing anomalies at an early stage with ActivePivot detecting changes in business conditions and pushing meaningful alerts
- Get answers in sub-second time to any analytical enquiry with ActivePivot processing millions of live records across systems using its in-memory aggregation capabilities
- Drill-down and view data from any angle, at any point in the past, with ActivePivot providing the required contextual information for root cause analysis.
- Run ‘What-if’ analysis and evaluate the effect of alternative scenarios on the business
