Big Data Analytics Posts
March 23rd, 2017
Traditional data analysis fails to cope with the advent of Big Data which is essentially huge data, both structured and unstructured. Much more is needed that being able to navigate on relational database management systems and draw insights using st...READ MORE...
March 17th, 2017
March 13th, 2017
With each passing day, more objects and machines are getting connected to the internet transmitting the information for analysis. The objective is to harness this data to discover trends and results that can help any business with a positive impact. ...READ MORE...
March 6th, 2017
More data usually beats better algorithms … point is, adding more, independent data usually beats out designing ever-better algorithms to analyze an existing data set – Anand Rajaraman, Co-Author of “Mining of Massive Datasets...READ MORE...
March 2nd, 2017
There are innumerable articles and resources on how big data analytics are shaping enterprises, businesses and our future and there hasn’t been a field that has failed to praise analytics. With the Harvard Business Review calling it the sexiest job...READ MORE...
February 24th, 2017
I am sure you already know that Big Data Analysis is creating a humongous amount of value. The volume of data created and stored globally is incredible, and it just keeps growing which means there’s no end to the demand of the Big Data maestros. ...READ MORE...
February 21st, 2017
Data is everywhere! It’s not hard to believe that Data is transforming the world. We find ourselves amidst new ways of collecting information about different patterns of data. Thus, significant results are occurring for both individuals and organiz...READ MORE...
February 6th, 2017
January 20th, 2017
January 5th, 2017
Oozie – workflow scheduler for Hadoop – perhaps is the only major component in the Hadoop ecosystem that does not work on or handle data directly by way of data ingestion or data processing. Let us look at what its function is and where & how...READ MORE...
December 21st, 2016
The bubble around Big Data has certainly started to burst and the coming year awaits reasonable developments in the applications of the Big Data world. Well, most of us are now more than familiar with terms like Hadoop, Spark, NO-SQL, Hive, Cloud etc...READ MORE...
October 25th, 2016
Change is constant. You learn, you adapt, you change. With the constant and rapid changing demand in the Big Data sphere, it is essential to stay current with the newer technologies and techniques if you must take on the job market and come out victo...READ MORE...