In the next Big Data Denmark presentation in Aarhus, Martin Qvist will present "A tour of Hive", focusing on the areas where Hive is different from other simular technologies.
Read more about the presentation at www.bigdatadenmark.dk/#TourOfHive
Big Data Denmarks meetup on kdb+, by speaker Krishan Subherwal, took a closer look at how KX Systems kdb+ database works and is used in the financial sector. In this follow-up article, we take a closer look at the presentation by Krishan.
In this first Big Data Denmark presentation in Copenhagen, Vladimir Smida will walk you through the core concepts of Hadoop, its components and its strengths, as well as look at other alternatives. Each with key strengths in specific areas.
Read more about the presentation at www.bigdatadenmark.dk#HadoopOrNot
Big Data Denmarks next upcoming meetup in Aarhus, focuses on data crunching with kdb+. The speaker, Krishan Subherwal, is a kdb+ developer and part of the Q.& D. Strategies Group within a major US investment bank with 2 years experience.
Comiit attended this years Strata + Hadoop World conference which took place in London. With over 100 speakers giving talks on the cutting edge of Big Data.
Comiit and Big Data Denmark are getting attention. The online technology news website ComputerWeekly, just published an article on how “Insufficient infrastructure hinders big data in Nordic countries”, interviewing Comiits own Rasmus Nygaard Andersen.
Keeping up with modern trends in Big Data, Comiit is sending representatives to the Strata Conference in London. The conference is one of the largest of its kind in the world, and is a three-day safari in the field of Big Data.
7N Consulting, in collaboration with Comiits own Martin Sponholtz, has just released an article on the subject of Creating new opportunities using Big Data.
The article takes a closer look at the development potential of Danish companies in regards to the gains of becoming more adept at analyzing data and creating innovation through the use of data science.
Sebastian Brandes will be presenting on the subject of Recommendation Engines. How you can build your own engine using HDInsight/Hadoop in Azure. The session is for everyone – regardless of prior experience.
Vladimir Smida and Rasmus Nygaard Andersen from Comiit will give a presentation first introducing Hadoop and thereafter going through a few cases illustrating the benefits which companies can harvest by using Hadoop.
Vladimir Smida, Rasmus Nygaard Andersen and Martin Sponholtz from Comiit will give a presentation highlighting with practical examples their experiences with processing and analyzing large volumes of data in near real-time.
Vladimir Smida and Rasmus Nygaard Andersen from Comiit will give an introductory presentation on the hidden potential of big data analysis and on how data science relates to big-data.
"SOCKETS ON STEROIDS" Wait, what? Join Vladimir Smida from Comiit at next talk about low latency distributed systems and find out.
Vladimir Smida from Comiit will give a presentation about distributed systems and how to build them when you care a lot about speed, performance and scalability.
If you find the topic interesting, feel free to sign up at this link for a talk in Aarhus 12. August 2014 at 16:30
UPDATE: You can download sildes & examples from presentation here.
In reaction to growing importance of data analysis and its lack in Danish businesses Comiit has initiated a Big data and data science community called "Big Data Denmark".
The group aims to bring together people from all industries who are interested in dealing with large amounts of data, offering interesting talks, hands-on advice and a forum for exchange and networking.
Vladimir Smida and Rasmus Nygaard Andersen from Comiit is doing the next presentation in Aarhus .Net User Group at the 28. May 2014.
Introduction to ZeroMQ, a framework which can be described as "sockets on steroids". ZeroMQ is a open source framework which can be used for creating distributed and concurrent systems. We will also look into the inner workings of ZeroMQ, different architecture of distributed systems and the high performance of ZeroMQ.
Rasmus Nygaard Andersen from Comiit is doing the next presentation in Aalborg .Net User Group at the 23. April 2014.
The presentation is an introduction to open source concurrency framework Disruptor.Net and how to use it for building high performance systems. The talk will include topics like lockless concurrent programming, high performance architecture and memory barriers.
Rasmus Nygaard Andersen from Comiit is doing the next presentation in Copenhagen Cassandra meetup at the 25. February 2014.
The presentation is about how to store 100.000 events per second using NoSql database Cassandra.
Comiit provides leading expertise in modern data architecture and modern data platform based on the open-source ecosystem of tools that comprises Hadoop. We've strengthened our knowledge base even further by partnering with Hortonworks and their Open Enterprise Hadoop offerings.
Hortonworks Certified Technology Program simplifies big data architecture by providing pre-built and validated integrations between leading enterprise technologies and Hortonworks Data Platform (HDP).
Certified technologies are reviewed for architectural best practices, validated for integration interoperability and consistency and, verified under varied workloads and comprehensively documented.
Comiit has extensive experience in applying Cassandra to meet high demands on performance (writes/reads per second) as well as high demands on availability (greater than 99.99%). We've partnered with Datastax ensuring that Comiit can bring in the latest capabilities of Cassandra.
The DataStrax partnership is about creating the best possible solutions while working with Apache Cassandra and DataStrax Enterprise. Their flagship solution, DataStrax Enterprise, is built on Cassandra, provides the massive scalability, continuous availability and enhanced data security today’s big data applications demand.
Cassandra evolved from work at Facebook, Google and Amazon , and is used by many leading companies working with big data such as Disney, IBM, and Twitter.