Bigdata Hadoop (Online & Classroom) training in Koramangala Bangalore

Greetings from CodeFruix Technologies

Learn Hadoop Bigdata course from CodeFrux Technologies.
(Hadoop, Hive, Pig, H-Base, Map-Reduce & Zoo-Keeper) starts on 8th Nov 2014.

Duration: 6 weekends

Timings : 2:30 PM to 6:30 PM

Training Methods

1)online training

2) classroom training

3) corporate training

Apply now & get Early bird offer

Free demo is Available

We Provide Live Project training

Course Outline

•Introduction to Big Data
•Understanding Hadoop & HDFS
•Creating VM Environment
•Map reduce Advanced Programming
•PIG overview
•HBase Data Model
•ZooKeeper Overview
•Oozie workflow


What We Offer
• Free demo
• Early bird offer and group discounts
• Well Occupied labs with Wi-fi
• Excellent Trainer’s
• Interactive training sessions
• Very in depth course material with real time solutions
• Flexible timings
• Customized Curriculum
• Certification oriented trainings with 100 % job guarantee
• Live project training
• Mock Interview & Resume preparation
• Online classes with 24*7 Technical support


+91-80-41714862 & 63(Landline)
+91-80-65639331 /  9738058993 (Mobile)


contact@codefruxtechnology.com


http://www.codefruxtechnology.com/big-data-training-bangalore.aspx

Why prefer HADOOP for BIGDATA?

More the data, more the time it takes for analysis, tracking and processing it In addition, with the current rate of growth of data in the modern world, interpretation of data is getting complex. Even the Structured databases, such as emails, inventories and customer information, are piled up for analysis. Nevertheless, in parallel, the Unstructured data, such as images, audios, videos and  text documents, has been growing exponentially in the recent past. The four V’s of big data Volume (Large Scale of Data), Variety (Different forms of Data), Velocity (Streaming Data’s Analysis) and Veracity (Uncertainty of Data) does give a better idea about how hard it is to process data these days. The current volumes of data that we are dealing with now is calculated in Petabytes (1024 Terabytes) and Exabytes (1024 Petabytes). Moreover, it is said that it will soon be Zetabytes (1024 Exabytes) by the year 2020. With these much data in use, the current applications and tools aren’t capable of optimizing appropriate results.

           

 Most of the currently used tools and procedures aren’t effective in handling this lot of data. That’s where Hadoop comes into act. It helps in handling the humongous amount of data in a better way. Therefore, there are lot implementing Big Data Hadoop to their companies to get a proper analysis where they can find a better prospects and new business opportunities. In addition, the data analysis methods through Hadoop are capable of providing superior potential insights.  

   

Hadoop provides appropriate insights for daily operations and product ideas and development. It can process images, videos and text documents as well. Results generated takes comparatively lesser time than the current methods and procedures. Network monitoring and stream analysis are additional features of Hadoop. Moreover, its average pricing to use the cloud space for Big Data is quite an advantage in the Industry. There are major benefits of Hadoop that can be specified are augmented Data Speed, Data Capacity, Failure Tolerance, Cost-Effectiveness, Flexibility and its Scalability from the cloud storage. In short, this (Hadoop) is the future of interpretation and processing of data, which will grow large in the days to come.

http://www.codefruxtechnology.com/big-data-training-bangalore.aspx