DataDotz

DataDotz DataDotz, based at Chennai, started with a small team of five vibrant professionals, is now on its lead providing comprehensive Big Data technology.

DataDotz, based at Chennai, started with a small team of five vibrant professionals, is now on its lead providing comprehensive Big Data technology solutions to leverage and transform your traditional business to analytics. Established in 2013 in a challenging environment, DataDotz has been making significant impact in this industry. Our capabilities in Big Data comprise solid solutions with power

ful frameworks that address every functional component, including Data management, Data Provisioning, Data consumption. With the constant growth in our Big Data industry, we are now the trusted partner to our increasing number of clients across the globe. We work towards providing superior experience to our clients through the combination of intellectual curiosity, friendly work style, business insight and strong partnership with our clients. Our in depth technical expertise migrate risk involved and reduces your overall investment costs. An Amaravian Venture.

Everyone of us know that we recently conducted on topic "Introduction to Apache Spark". Please find our webinar recorded...
17/02/2015

Everyone of us know that we recently conducted on topic "Introduction to Apache Spark". Please find our webinar recorded session below

https://www.youtube.com/watch?v=qEP4a51Fiw0

What is Apache Spark? Learn about RDD and its operations? Saprk and Hadoop? MapReduce and Spark ? Presentation done by Senthil Kumar https://linkedin.com/in/...

http://datadotz.com/latest-stable-versions-bigdata-components/
12/02/2015

http://datadotz.com/latest-stable-versions-bigdata-components/

Big Data Landscape has been growing rapidly with lot of efforts from open source communities. It has been difficult for the big data developers across the globe to keep themselves with new releases. we have decided to write a blog on the same every month. Below are the latest stable versions of the…

Topic: Introduction to Apache SparkDate & Time : Feb 14, 2015 , 4.30PM - 6PM ISTPlease join in the below urlhttps://plus...
12/02/2015

Topic: Introduction to Apache Spark
Date & Time : Feb 14, 2015 , 4.30PM - 6PM IST
Please join in the below url
https://plus.google.com/events/csc4pdu42qkd3h0sqb6lu3cn83o

Presentation done by Senthil Kumar A
https://linkedin.com/in/senthilka

Learn What Apache Spark is ? Key Components such as RDD , Operators, Cluster Managers , SparkSQL. How it differs from MR? How it works along with Apache Hadoop? Its going to be an exhaustive deep dive session. We will recording the session and to be shared in all our public forum especially Chennai…

http://hortonworks.com/blog/heterogeneous-storage-policies-hdp-2-2/
20/01/2015

http://hortonworks.com/blog/heterogeneous-storage-policies-hdp-2-2/

The Hadoop Distributed File System (HDFS) is the reliable and scalable data storage core of the Hortonworks Data Platform (HDP). In HDP, HDFS and YARN combine to form the distributed operating system for your data platform, providing resource management for diverse workloads and scalable data storag…

http://drill.apache.org/blog/2014/12/16/whats-coming-in-2015/
10/01/2015

http://drill.apache.org/blog/2014/12/16/whats-coming-in-2015/

2014 was an exciting year for the Drill community. In August we made Drill available for downloads, and last week the Apache Software Foundation promoted Drill to a top-level project. Many of you have asked me what's coming next, so I decided to sit down and outline some of the interesting initiativ…

http://blog.sequenceiq.com/blog/2014/12/23/cloudbreak-on-hdp-2-dot-2/
10/01/2015

http://blog.sequenceiq.com/blog/2014/12/23/cloudbreak-on-hdp-2-dot-2/

The last two weeks were pretty busy for us – we have Dockerized the new release of Ambari (1.7.0), integrated Periscope with Cloudbreak and just now we are announcing a new Cloudbreak release which uses Ambari 1.7.0 and has full support for Hortonworks HDP 2.2 and Apache Bigtop stacks. But first – s…

http://www.qubole.com/hadoop-lives-hype/
10/01/2015

http://www.qubole.com/hadoop-lives-hype/

Grab all of the latest news and commentary about Hadoop in one place with this week’s Hadoop Happenings. This week focused on analysts’ projections for the Hadoop industry’s growth as well as the growing need for data scientists. Use cases for Hadoop in banking and telecommunications were also discu…

http://spark.apache.org/releases/spark-release-1-2-0.html
25/12/2014

http://spark.apache.org/releases/spark-release-1-2-0.html

Spark 1.2.0 is the third release on the 1.X line. This release brings performance and usability improvements in Spark’s core engine, a major new API for MLlib, expanded ML support in Python, a fully H/A mode in Spark Streaming, and much more. GraphX has seen major performance and API improvements an…

25/12/2014

https://storm.apache.org/2014/11/25/storm093-released.html

We are pleased to announce that Apache Storm 0.9.3 has been released and is available from the downloads page. This release includes 100 new fixes and improvements from 62 individual contributors. Improved Kafka Integration Apache Storm has supported Apache Kafka as a streaming data source since ver…

13/12/2014

http://blog.cloudera.com/blog/2014/12/the-impala-cookbook/

Impala, the open source MPP analytic database for Apache Hadoop, is now firmly entrenched in the Big Data mainstream. How do we know this? For one, Impala is now the standard against which alternatives measure themselves, based on a proliferation of new benchmark testing. Furthermore, Impala has bee…

http://lucidworks.com/blog/solr-yarn/
10/12/2014

http://lucidworks.com/blog/solr-yarn/

One of the most important evolutions in the big data landscape is the emergence of best-of-breed distributed computing frameworks. Gone are the days where every big data problem looks like... Continue Reading

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