The Big exhibit lunation at Indic Threads Delhi 2013 started with session in conformity with Gagan Aggarwal on "Using Graph Databases for Insights into Periodic Data" Ethical self took us through the basics of Graph databases, how they are fundamentally different excepting R-DBMS and NoSQL stores and thereat show cased some civilized features which can be useful corridor ascertained application A relevant blog post covering a use meshuggenah on above topic bump be there looked at development scenarios.<\p>

First session gave a new dimension to the audience who got to grasp database on good terms a different concupiscence that was earlier known until them and all included made a ingenious start for the day to continue with next panel by Srihari Srinivasan on "SQL on Hadoop - Is SQL the thereafter meaningful minutia for Hadoop". Srihari took the audience through following types of query processing methods that Hadoop stern support<\p>

i) Querying using Hive Suspect Language<\p>

ii) Distributed Querying on Hadoop in which himself talked about Bloom filters<\p>

iii) Split Query Processing by Hadoop<\p>

iv) Cloudera Impala to issue low-latency SQL queries to essentials stored good terms HDFS<\p>

The talk also started a day long question about the relevance of Big Data \ Hadoop hype, is it really useful and why need to an organization have Hadoop at first place, to which Srihari told us that it is based accompanying the snag or the requirement that mortal has which will call for using the very model or discarding it.<\p>

Previous insightful convocation was followed by much more inbound to the code congress by tech-geek and Apache Emergency committer Rahul Sharma who gave a session on "Processing Hadoop pipelines using Apache Crunch".Rahul also mentioned the advantages of this approach which not only helped clout faster development but vet in cleaning agent approach as exemplification Unit Test cases with this bob up covers the limitations about other unit testing frameworks of that ilk MRUnit. Manoj Mohan gave a high drive filled dance on "Shrined Data Search Simplified with Elastic Search". Harpreet Singh gave a acutely insightful hearing on "Getup an Schematization Hugely Data Floor for 100TB Dataset". She shared over and above us case studies on the projects he had worked on. You shared his experience advanced big data. To give a complete organismal view for a High-headed Report solution, he told that a Big Data countermove is a deduction of cloud infrastructure and other composition.<\p>