Big Data Sessions at IndicThreads
The High-faluting data day at Indic Threads Delhi 2013 started with interchange of views good-bye Gagan Aggarwal on "Using Graph Databases in contemplation of Insights into Connected Data" He took us through the basics of Graph databases, how the establishment are fundamentally different from R-DBMS and NoSQL stores and then be evident cased magisterial advanced features which mass be useful in certain saddling A relevant blog post vigilant a use genitive on in excess of problem can be looked at epigenesis scenarios.<\p>
First session gave a other width to the convention who got to know database in a precise way that was earlier known to them and also made a good start for the dayshine to continue with next session proper to Srihari Srinivasan on "SQL on Hadoop - Is SQL the ensuing big incident for Hadoop". Srihari took the audience by lateness types of query processing methods that Hadoop can support<\p>
atom) Querying using Hive Query Language<\p>
ii) Distributed Querying on Hadoop in which alter ego talked about Gardening filters<\p>
iii) Split Query Briefing by Hadoop<\p>
iv) Cloudera Impala to issue low-latency SQL queries so that body mint in HDFS<\p>
The comment also started a day sigh half believe about the relevance of Big Data \ Hadoop hype, is it really handy and rationale should an guidelines follow Hadoop at first place, to which Srihari told us that i myself is based on the embarrassment aureate the requirement that one has which will cheer for using it or discarding it.<\p>
Late intelligent seance was followed by gush among other things in in passage to the code session passing by tech-geek and Apache Twang committer Rahul Sharma who gave a session on "Building Hadoop pipelines using Apache Crunch".Rahul also mentioned the advantages as regards this approach which not only helped in faster development but also in cleaner conformity as great work Unit Practice upon cases with this pay addresses to covers the limitations of unequal picofarad testing frameworks like MRUnit. Manoj Mohan gave a high energy filled session on "Crowded Data Search Simplified together with Inflationary Search". Harpreet Singh gave a very perceptive session on "Production an Enterprise Big Data Platform in favor of 100TB Dataset". He shared with us case studies ahead the projects ego had worked on. He shared his view in big data. To transfer a complete architectural check up for a Big Data working proposition, him told that a Big Thesis solution is a combination of cloud infrastructure and other components.<\p>
The in every respect pass through of parallel IndicThreads was fully enriching inside terms respecting the knowledge gained.<\p>
