5th Swiss Big Data User Group Meeting with MapR, Cloudera and Splunk

The first meeting with interesting big data talks in 2013!

To sign up, just visit http://www.bigdata-usergroup.ch/item/372881 and select "Attending" in the box "Your RSVP" on the right hand side. To do that, you must be a registered member of the Swiss Big Data user Group. If you are not a member yet, you can join here for free: http://www.bigdata-usergroup.ch/join. After completing the registration, please sign up using the "Your RSVP" box.


1. Zeljko Dodlek (MapR)

Case Study of BigData use with MapR M7 in the Enterprise Datacenter (15min)

NoSQL is often used to deal with large scale data needs, but most NoSQL solutions lack strong data integrity features. I will describe how one company is solving their big data problems using MapR M7. MapR's Data Platform (MDP) provides tables as a built in feature of the file system and exposes an HBase compatible API for accessing these tables. The architecture of the system is designed to scale to very large sizes, to avoid long pauses due to compaction and allow complete integration with MapR's snapshots and mirrors.

We will talk about a specific customer use-case where the customer's priorities for Reliability, Ease of Use and Business Continuity made M7 the best choice.

2. James Kinley (Cloudera)

The Lambda architecture, principles for architecting realtime Big Data systems (40min)

As the Hadoop ecosystem matures and business continues to drive its adoption, requirements for faster performance and nearer to realtime responses will become more of a priority. Although none of the existing ecosystem tools have been designed for realtime stream processing, and this is where Storm can complement the Hadoop stack.

This talk describes the "Lambda architecture", a set of principles that define how batch and stream processing can work together to solve your realtime Big Data problems. The premise behind the Lambda architecture is you should be able to run ad-hoc queries against all of your data to get results, but doing so is unreasonably expensive in terms of resource - querying a petabyte dataset everytime you want to compute the number of pageviews for a URL may not always be the most efficient approach. So the idea is to precompute the results as a set of views, and you query the views.

As part of the talk I will also discuss the concepts of data immutability, precomputation, and recomputation and why they are important in this type of architecture.

3. Christian Glatschke (Splunk) & Mika Borner (LC Systems) (40min)

Christian Glatschke explains how Splunk can turn machine-generated big data into real-time insights. Splunk Enterprise is the leading platform for collecting, analyzing and visualizing machine data, integrated end-to-end and real-time, Splunk software provides a unified way to organize and extract actionable insights from the massive amounts of machine data generated across diverse sources.

LC Systems is the leading Splunk Partner in Switzerland. Mika Borner will present how Splunk’s integrated stack helps Swisscom and other Swiss customers gain more insight into their ever growing amount of machine data.

About the Swiss Big Data User Group

The Swiss Big Data User Group is the largest user group for big data related topics in Switzerland. Founded in April 2012, 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. Topics include (but are not limited to); Apache Hadoop, NoSQL storage and search technologies - presented from both a technical and a business perspective.

About the sponsors

Big thanks to Sentric for the administration of the event, Teralytics for providing the location, MapR for sponsoring food and drinks and Trifork for supporting our marketing!

If you are interested in becoming the sponsor of one or our future meetings and get exposed to our 160+ members, please contact christian.guegi@gmail.com.

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