Sonntag, 20. April 2014

Welcome Symas LMDB

Symas LMDB Ultra-fast, ultra-compact key-value embedded data store developed by Symas for the OpenLDAP Project. It uses memory-mapped files, so it has the read performance of a pure in-memory database while still offering the persistence of standard disk-based databases, and is only limited to the size of the virtual address space, (it is not limited to the size of physical RAM)

Check it out!

Mittwoch, 2. April 2014

NeDB fast JavaScript DocDB with MongoAPI!

Please welcome


 is a NoSQL database for Node.js in pure javascript. It implements the most commonly used subset of MongoDB's API and is quite fast (about 25,000 reads/s on a 10,000 documents collection with indexing).

Looks like a nice project.
Good luck!

Montag, 24. März 2014

NoSQL Matters

Dear Readers,

NoSQL Matters is coming to Dublin and Barcelona! and

And a nice sidenote: In Barcelona we are close to the Strata Conference!
This means you can combine both:

  1. NoSQL Matters Barcelons
  2. The famous Big Data Conference Strata
  3. and enjoy the coolest city in Europe.
Best Regards
Stefan E.

Tipp of the day:

Buy One, Get One Free on all of #Packt’s 2000 Books! #Packt2k
only valid for two more days!

Freitag, 21. Februar 2014

NoSQL-Net 2014 - 1st International Workshop on NoSQL Databases and Linked Data Applications.

Dear community. Please have a look on this workshop:

NoSQL-Net 2014 - 1st International Workshop on NoSQL Databases and Linked Data Applications. The workshop will be held in conjunction with DEXA 2014 conference in Munich, Germany. It will be a one-day workshop scheduled during the main conference, i.e. September 1 - 5, 2014.
Abstract Submission: March 25, 2014
Submission of Full Papers: April 10, 2014

Montag, 16. Dezember 2013

NoSQL Matters 2014 April: CfP and Blind Bird Tickets

Dear Reader,

please note that NoSQL Matters Conference 2014 in Cologne has

  • on open call for talks and
  • a blind bird phase to buy an advantageous ticket 
ending soon. So save money and tell us if you have something to speak about!

28th April: Training
29th April: Conference Day 1
30th April: Conference Day 2

Montag, 11. November 2013

Statosphere Summit 14th/15th November!

Around in Berlin 14th/15th November?! Register for the Stratosphere Summit and lean about the latest research in scalable Big Data Analytics!

If you can't make it join the Big Data Meetup talk by Kostas Tsoumas 20th November!

Don't miss these events.

Samstag, 2. November 2013

Book Review: Hadoops Operations and Cluster Management Cookbook

I just had the opportunity to dig a little deeper into the Hadoop Ops & Cluster Management Cookbook. The 368 pages and eight chapters follow the path: big data, preparing, configuring, managing, hardening, monitoring, tuning and running on AWS. 
The book claims to provide 60 recipes and targets everyone who has to maintain a hadoop cluster. It is also referring to many tools around the ecosystem as flume, oozie, squoop, spark, storm, ambari, etc. The book is full of these typical PACKT hints. I really liked the installation part which is full of colored pictures (especially the Amazon chapter) to e.g. select the right packages and it does even little steps in the appropriate detail (e.g. as a ssh configuration). Tons of topics as import / export, logging, or even monitoring are written so practically that you feel the intense urge to install something like Ganglia. Newbies who did not had Hadoop installed will find the starting chapters 1-3 valuable. All the others who would like to go in depth and find new tipps and tricks will surely find tons of stuff in chapter 4-8. E.g. balancing load, analyzing jobs, block size, startup-time, etc.

I have rarely seen a book with so much hands on and installation code like this one (which is a good sign, because doing is much more fun then reading plain text). Although I only ran some little clusters in a very unsophisticated mode for some short specific tasks (and hence my knowledge is limited), I am sure that it will take years to find operations and managemend knowledge NOT covered in this book. And I am still unable to find any weaknesses.

To summarize: the claim of explaining 60 tasks and tricks in Hadoop has succeded in a superb way. There is no other book I know taking the reader by the hand step by  step for Hadoop. Congratulations.