Apache Drill Included in MapR Latest Distribution Release by Alex Giamas Posted on Sep 30, 2014
Nvidia Introduces cuDNN, a CUDA-based library for Deep Neural Networks by Jérôme Serrano Posted on Sep 29, 2014
InfoQ User Survey 2014 - Participate and Get a Copy of the Results; Win a QCon Early Access Pass by Nitin Bharti Posted on Sep 15, 2014
Drone Data Adds a New Horizon for Big Data Analytics by Abhishek Sharma Posted on Sep 10, 2014
IBM: 70% of Enterprises Are Using Big Data, Cloud, Mobile and Social by Abel Avram Posted on Aug 26, 2014 3
Google unveils Mesa - Geo-Replicated Near-Realtime Scalable Data Warehouse by Matt Kapilevich Posted on Aug 19, 2014
Data Encryption in Apache Hadoop with Project Rhino - Q&A with Steven Ross by Abhishek Sharma Posted on Aug 14, 2014
Real-Time Stream Processing as Game Changer in a Big Data World with Hadoop and Data Warehouse by Kai Wähner Posted on Sep 10, 2014 4
Nikita Ivanov on GridGain’s In-Memory Accelerator for Hadoop by Srini Penchikala Posted on Sep 08, 2014
Introducing Spring XD, a Runtime Environment for Big Data Applications by Charles Humble Posted on Jul 23, 2014 1
Lambda Architecture: Design Simpler, Resilient, Maintainable and Scalable Big Data Solutions by Daniel Jebaraj Posted on Mar 12, 2014 6
Big Data Analytics for Security by Alvaro A. Cárdenas, Pratyusa K. Manadhata, Sreeranga P. Rajan Posted on Feb 11, 2014
Emerging Trends in Big Data Technologies
Big Data technologies have been getting lot of attention over the last few years. There are several trends and innovations happening in this space. InfoQ would like to learn what new trends in Big Data you are currently using or planning on using in the future.
Hadoop ecosystem capabilities: What to add next?
The last 5 years the Hadoop ecosystem has expanded rapidly to satisfy for various production needs. Most recently a number of real-time workloads and tools have been brought to this new generation data processing and management platform.
Τrends of different Big Data Solutions
Various Hadoop-based solutions for a new generation of data management have disrupted the market of traditional data processing and management systems in recent years. There is no longer a question on whether enterprises need a big data strategy - it has become a fact! But the questions remains - when and how to migrate?