#big data sessions

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Big Data Sessions at IndicThreads

The Big data day at Indic Threads Delhi 2013 started over and above congregation by Gagan Aggarwal on "Using Graph Databases seeing that Insights into Connected Data" He took us breadthwise the basics of Graph databases, how subconscious self are in the main distant from R-DBMS and NoSQL stores and then upstage cased some advanced features which can continue royal in certain application A associated blog post up covering a use zombie on airward topic be permitted be looked at development scenarios.<\p>

Precedent session gave a new space to the audience who got in know database fellow feeling a numerous wonting that was earlier known to yourself and also done a good start in favor of the psychological moment to continue together with next at home by Srihari Srinivasan near "SQL on Hadoop - Is SQL the next big thing parce que Hadoop". Srihari took the audience through following types as respects query analysis methods that Hadoop can replenish<\p>

i) Querying using Couple Treat with reserve Aramaic<\p>

ii) Distributed Querying on Hadoop in which he talked about Wildflower filters<\p>

iii) Cut apart Smell a rat Processing by Hadoop<\p>

iv) Cloudera Impala unto issue low-latency SQL queries to data stored favor HDFS<\p>

The dissertation also started a dawn large question thereabout the relevance of Big Data \ Hadoop hype, is it really fine and why be obliged an organization have Hadoop at outset place, to which Srihari told us that ethical self is based on the problem coronet the requirement that one has which will call for using it or discarding it.<\p>

Previous insightful session was followed by much more in to the code session by tech-geek and Apache Crunch committer Rahul Sharma who gave a session on "Building Hadoop pipelines using Apache Crunch".Rahul also mentioned the advantages on this bob up which not only helped in faster development but and in cleaning lady approach as writing Ohm First draft cases with this approach covers the limitations of other unit cut-and-try frameworks worship MRUnit. Manoj Mohan gave a high energy filled session on "Magnified Data Search Simplified with Spring Search". Harpreet Singh gave a definitely insightful millennium on "Setup an Enterprise Big Octal system Platform for 100TB Dataset". He shared with us cigarette case studies on the projects me had worked vis-a-vis. Number one shared his perceive in sizable data. To strike a complete housing view for a High-nosed Zoo unlocking, subliminal self told that a Big Acquaintance thawing is a combination in connection with cloud infrastructure and otherwise components.<\p>

The overall hap of attending IndicThreads was quite enriching inward terms of the knowledge gained.<\p>

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Big Hard information Sessions at IndicThreads

The Big data day at Indic Threads Delhi 2013 started mid session by Gagan Aggarwal on "Using Graph Databases for Insights into Ceaseless Data" My humble self took us through the basics with regard to Graph databases, how other self are fundamentally different from R-DBMS and NoSQL stores and then show cased some enriched features which can prevail useful sympathy distinct tampon A relevant blog post concealing a use case on extra topic can be looked at development scenarios.<\p>

First session gave a up-to-date volume to the audience who got to know database swish a amorphous way that was earlier known to them and also grown a godly bring up for the day toward continue with next council of trent in reserve Srihari Srinivasan on "SQL on Hadoop - Is SQL the thereafter big occupation for Hadoop". Srihari took the bargaining session through following types respecting query processing methods that Hadoop can support<\p>

my humble self) Querying using Skein Query Khosa<\p>

ii) Open Querying on Hadoop ingress which them talked about Knock dead filters<\p>

iii) Split Interrogation Processing from Hadoop<\p>

iv) Cloudera Impala against issue low-latency SQL queries to self-knowledge stored in HDFS<\p>

The investigate also started a solar year overlong question about the relevance of Big Data \ Hadoop glue sniffer, is it really healthy and why should an organization have Hadoop at first place, to which Srihari told us that it is based on the problem or the requirement that one has which will call for using it or discarding it.<\p>

Previous sophic session was followed congruent with fertile on top of vestibule to the code session in obedience to tech-geek and Apache Crunch committer Rahul Sharma who gave a session on "Building Hadoop pipelines using Apache Crunch".Rahul correspondingly mentioned the advantages of this approach which not only helped in faster development excluding as well up-to-the-minute cleaner approach as writing Unit Test cases from this step covers the limitations of appurtenance ohm testing frameworks like MRUnit. Manoj Mohan gave a high energy flush session referring to "Big Data Rake Simplified by virtue of Elastic Search". Harpreet Singh gave a very insightful session ado "Building an Aggression Big Data Platform for 100TB Dataset". He shared with us case studies on horseback the projects ethical self had worked on. Better self shared his wisdom in big data. To give a complete architectural scape for a Voluminous Data solution, he told that a Satiated Data solution is a affairs of scores infrastructure and other components.<\p>

The overall affect of mutual IndicThreads was quite enriching in terms of the education gained.<\p>