Time : Sunday Mar 8th , 2015 @ 7:30 pm CST
You are most welcome to join our Upcoming batch, details of the same is as follows:
||: 13th Mar, 2015 @ 8:00 pm CST
||: Fri, Sat & Sun 8:00 pm CST 3 hrs each session
|Attend a Introductory Session
||: Click here to Register
Contact : Ilyas @ 515-978-9788 ,email : firstname.lastname@example.org
Attend a Free Live WEBINAR about Big Data Hadoop developer Training on 8-Mar-15 @7:30 PM CST. Register Link – http://goo.gl/4Zb3Gv
Big Data analytic is the process of examining large set of data to understand patterns, correlation and business information. This involves logical approach in understanding the business decisions of organisations. Advanced analytic involve using software tools to find appropriate methods to increase revenues. Big Data analytic is the next future. A large number of customers are working on Big Data. There are certain practical examples that help to understand the working of big data. Let’s understand the practical examples:
Continue reading Benefits of Big Data
Hadoop Big Data is not a new term for telecommunication industry. This sector has been collecting and storing huge volumes of call records over the past few years. Telecom switches are generating lots of CDRs every single minute. Hence terabytes of data is generated during the whole day that is 24 hour cycle. Hence there is a development in application that can easily pull data from CDRs and sensors. This has also helped in knowing the location and allocating bandwidth.
Continue reading Big Data Hadoop finds application in telecom sector
2014 was a year for Big Data Hadoop spark but 2015 has been estimated as an year of evolution for Big Data Hadoop. The industry experts feel there is a long way to go. For the year 2015 Apache Spark holds extended capabilities for Big Data Hadoop. These capabilities include more time based analysis. In the coming year we can witness new transcend for Big Data Hadoop. The Spark services shall be introduced along with the Spark packages.
Continue reading Data Evolution by Apache Spark