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Java is a programming language originally developed by James Gosling at Sun Microsystems (which is now a subsidiary of Oracle Corporation) and released in 1995 as a core component of Sun Microsystems' Java platform. The language derives much of its syntax from C and C++ but has a simpler object model and fewer low-level facilities. Java applications are typically compiled to bytecode (class file) that can run on any Java Virtual Machine (JVM) regardless of computer architecture. Java is a general-purpose, concurrent, class-based, object-oriented language that is specifically designed to have as few implementation dependencies as possible. It is intended to let application developers "write once, run anywhere". Java is currently the most popular programming languages in use, particularly for server-client web applications.

Vulab or Virtual University Lab is the market leader in Java Hands-On training. Our Java training courses have been running 24/7 and 365 days a year from the last 13 years. Fortune 1000 companies have been exclusively using Vulab for their training needs. We have successfully trained more than 4000 development teams in large corporations. We have successfully trained and placed more than 9000 fresh developers in java. We have training courses in all areas of java covering java language, Java Enterprise Edition, Spring, Hibernate, Web Services, ORM, Open Source and a lot more.

Our  Java instructor Sri is the top rated Guru in Java, Enterprise Java, Application Integration, Hadoop, Spring, HTML5, Android, Apple IOS, Phone Gap, JQuery Mobile.



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Big data is among the hottest trends in IT right now, and Hadoop stands front and center in the discussion of how to implement a big data strategy.

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

The project includes these modules:

  • Hadoop Common: The common utilities that support the other Hadoop modules.
  • Hadoop Distributed File System (HDFS™): A distributed file system that provides high-throughput access to application data.
  • Hadoop YARN: A framework for job scheduling and cluster resource management.
  • Hadoop MapReduce: A YARN-based system for parallel processing of large data sets.

 

Apache Spark advanced training is available for onsite training.



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Show all Big Data Library Training Courses

Big Data Library is providing indepth training courses on the following

 

Apache Nifi
Falcon
Atlas
Sqoop
Flume
Kafka
NFS
WebHDFS
Zeppelin
Ambari User Views
Map Reduce
Pig
Hive
HBase
Accumulo
Phoenix
Storm
Solr
Spark
HAWQ
Yarn
HDFS
Ranger
Knox
Atlas
HDFS Encryption
Ambari
CloudBreak
Zookeeper
Oozie
Kafka



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