DevOpsQA NJ Meetup - NoSQL in Agile DevOps Model

DevOpsQA NJ just held our October Meetup on NoSQL in Agile DevOps Model with Shawn McCarthy from MongoDB, Bhavna Sehgal from Syncsort and Suhas Joshi as speakers. The venue was provided by ROKITT at a state-of-the-art office space with breathtaking views of NYC.

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Suhas, a Solutions Architect with a vast DevOps experience, gave a great introduction to NoSQL, starting with the history of the journey from relational to NoSQL and then deep diving into NoSQL Data Models including Key Value (e.g. CouchDB, Memcache), Document (e.g. MongoDB), Wide Column Store (e.g. Cassandra, HBase) and Graph (e.g. Neo4J). He also touched upon big data saying that the term “big data” is a misnomer, it should be “huge data” instead.

Bhavna gave a talk about how Syncsort clients leverage Hadoop and NoSQL database to achieve powerful results. Some of the use
cases included mainframe data offload to Hadoop, query of large data sets and real time analytics on Hadoop. Bhavna also covered various options for accessing NoSQL in Hadoop including JDBC/ODBC and Java API among others.

Next, Shawn gave an exciting overview of MongoDB, starting with how it got started and deep diving into the functionality. MongoDB is a cross-platform document-oriented database. While MongoDB is classified as a NoSQL database, it also supports relational structures. Instead of breaking up data into multiple relational structures, MongoDB can store it in the small number of documents. Shawn went thru the reasons why divelopers like Mongo, which include the following 1) it was built by developers for developers, 2) very easy to setup, 3) availability, 4)automatic partitioning of data, 5) view of the data is abstracted out from the application. MongoDB does not have transactions or joints and should not be used for transaction based banking data, but it’s a great tool for storing log data, user profiles, user-generated content and location based data. Shawn also covered Rich Query model and how Mongo can be used for real-time analytics. If you would like to learn more about MongoDB, you can reach Shawn at [email protected]