Thinking of what will be in store for you in the increasingly competitive job market after you have completed your training? That’s one question that gives jobs seekers in the IT sector sleepless nights, just as they are about to complete their engineering and hoping against hope how best they can kick-start their career with a reasonably good maiden pay-packet.
No need to worry!
But don’t worry. A job-oriented training programme in Big data and Hadoop is what is needed to help job seekers receive their offer letters from top companies.
A typical Big data Hadoop training programme encompasses Java fundamentals, Hadoop fundamentals, HDFS, MapReduce, Spark, Hive, Pig and Latin, HBase, Sqooop, Yarn, MongoDB, Hadoop Security, etc. Students learn to undertake Data analytics with the help of Pig & Hive.
Hands on experience
Students get a thorough understanding of Hadoop set up such as Flume, Apache Oozie, workflow scheduler, etc. learn Sqoop during the training session. All the theoretical learning processes have to be supported by a comprehensive hands-on training in setting up different configuration of Hadoop cluster, etc. Hadoop is also considered to be the operating system for distributed HDFS – data file system.
Improved global connectivity and cloud computing have brought Big Data Hadoop into sharp focus. Instead of spending on setting up costly data storage infrastructure enterprises can now pay only for processing power for purchasing storage depending on their specific requirements.
Today global IT firms like Google and Yahoo use Big Data and Hadoop for their search engines. It is the Google that has popularised MapReduce because it enables easy distribution of works into small portions across a large number of nodes for mapping or processing purposes. What comes out of mapping in the form of results are then analysed to arrive at a final answer by reducing big data into relevant information.
Training in Hadoop engineering skills have assume importance as global brands like Netflix, Google, IBM, Cloudera, Yahoo, Apple, Dell, Nokia, eBay, Hortonworks, Wells Fargo, EMC, Walmart, Fidelity Investments, NASDAQ, Verizon Facebook, Amazon, etc. have since decided to switch over to Hadoop. Also, there are an increasing number of new players who have been jumping the Hadoop bandwagon to reduce cost and increase competence.
As Hadoop is the most significant tool for Big Data, it is going to stay for long. A Professional job-oriented training in Big Data and Hadoop can enhance employability and fill-in the skill-gap prevailing in the job market for long.