Posts Tagged ‘Hadoop’

Cloudera’s CEO talks about big data

November 13, 2011 Leave a comment

Nice little talk:


Hadapt – About

October 22, 2011 Leave a comment

Performance & Stability at Scale

Hadapt’s patent-pending architecture brings the latest advances in relational database research to the Apache™ Hadoop™ platform.  By leveraging the MapReduce distributed computing framework, Hadapt provides cloud-ready fault tolerance, load balancing, and data replication, ensuring consistent performance in unpredictable computing environments such as the cloud.

Virtualized environments pose unique challenges for performing complex analytics on big data. The shared environment is economical, but unpredictable fluctuations in node performance and node availability results in poor performance for long queries. Restarting nodes or restarting queries is not the answer. Hadapt’s platform utilizes a patent-pending Adaptive Query Execution™ process to automatically load balance queries in virtualized environments.

Apache Hadoop based analytic platform : Hadapt – About.

Now Microsoft comes up with a road map for Hadoop efforts

October 14, 2011 Leave a comment

Here is the post: Microsoft’s Big Data Roadmap & Approach – SQL Server Team Blog – Site Home – TechNet Blogs.

As we have noted in the past, in the data deluge faced by businesses, there is an increasing need to store and analyze vast amounts of unstructured data including data from sensors, devices, bots and crawlers and this volume is predicted to grow exponentially over the next decade. Our customers have been asking us to help store, manage, and analyze these new types of data – in particular, data stored in Hadoop environments.

I am not sure about IBM, but this makes two of them – Microsoft and Oracle, finally realizing the power of Hadoop and acknowledging that they have to do something about it. Pretty late already, I will say. Earlier, Oracle had something similar to say in OpenWorld 2011.

My Hadoop experience so far has been limited, but nevertheless amazing in every sense. I was blown away by the simplicity, more than anything else. It takes very minimal effort (okay, you do need the understanding) to setup a Hadoop cluster and run a task distributed on several machines. We were using 5 laptops and although the task we wrote was a simple search, but with the effort that was put in, I never expected it to work. I was surprised when it sailed through.

Oracle reveals its Big Data, NoSQL and Hadoop developments

October 8, 2011 1 comment