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Archive for the ‘Big Data’ Category

Streaming Twitter Data to MongoDB Real-time

December 16, 2013 7 comments

Lot of Developers/Applications which perform Analytics are pulling data from lot of Social Media Sources Like Facebook, Twitter, Blogs, News Channels like ReadIt.  99% of Social Media Data is not free but it’s mostly available for Developers to POC and Development purpose. This Article I will explain how you can we Stream Data from Twitters Real-time as Twitter offers only 1% of actual their activity stream data for free of cost. Read more…

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Apache Hive Or Cloudera Impala? What is Best for me?

July 10, 2013 5 comments

Hi Guys,

I’m not recommending anything Hive or Cloudera Impala here but just trying to express my experience with both the tools as noticed there is lot of puzzlement these days which one is best. Comparison between Hive and Impala is not fair. Simply I can say again it’s fully depend on your case study and your requirements on how fast you want to read data from Hadoop. Read more…

MongoDB Vs Neo4j GraphDB. It’s your Case Study..!!

April 30, 2013 2 comments

I was working on one Social Media Streaming proof of concept where problem statement was which NoSQL Database is best fit for social media network. I’m big fan of MongoDB and I was planning to use MongoDB in this case but I wanted give another shot for other NoSQL databases where I chose Neo4j Graph Database. Read more…

Social Media and Sentiment Analysis

January 23, 2013 1 comment

Recently sentiment analysis has gained much attention and interest to huge proportions which is also being fuelled by the many social media platforms mushrooming each day. And sometimes we actually do not understand how this is going to help? But before this we need to understand what sentiment analysis is and how it really works? Read more…

What is Graph Databases?

January 14, 2013 Leave a comment

This is last item is NoSQL Categories Breakdown series, in this article I will explain about Graph Databases which is one of the subcategory in NoSQL databases. Specialty of Graph Databases is they work really great for tracking relationships and that’s why this category is great fit for social network applications or just about anything where relationships are playing really important roles. And relationships can be thought of in an expansive way because you know how relationships costs in RDBMS. In Graph Database one relationship is about ownership or control and with we can pretty much represent just any data from that database. Read more…

What is Wide Column Stores?

January 13, 2013 1 comment

As mentioned in my earlier article for Key-Value Stores, wide column stores have tables which contains columns. The small difference is that Wide Column Stores takes a hybrid approach mixing the declarative characteristics game of relational databases with the key-value pair based and totally variables schema of key-value stores. Wide Column databases stores data tables as sections of columns of data rather than as rows of data. Read more…

What is Document Stores?

December 26, 2012 2 comments

In my last article I explained Key-Value Stores. I’ll explain about Document Stores which is one of the subcategory of NoSQL Databases. As name explains this category is store of semi-structured documents which supports formats like JSON. Attractively rather than calling rows they call individual row as document. Read more…

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