Switching Careers: From Java to Big Data / Hadoop

Hi Chaitra, we don’t provide any placement services. However, since we are established in Big Data and Hadoop training companies approach us looking for the right skill. We in turn, inform out student about the job opportunities. Since currently Hadoop is relatively new in the market and there are lot of job opportunities. No doubt about that!!
In regards to salary hike, generally there will be 25-30% increase and depending on your experience and knowledge in the subject, you can expect more than this.
Since you are from a Java background, it will be easier for you to learn Hadoop and your experience will be an added advantage.
Please feel free to call us at US: 1800 275 9730 (Toll Free) or India: +91 88808 62004 for further clarifications.

Greetings Shan,

We really appreciate your thoughts and encourage you to keep providing your valuable comments moving forward as well, which would make us to provide quality content and courses to the learners.

Map/Reduce & Hadoop is one of the best and key technology innovations produced by the open source community to date. With the data storage and processing power drastically reducing day by day and companies are now able to afford the long standing wish to empower their business decisions and growth by utilizing the vast amount of knowledge potential, which goes untapped from their daily activities of big data sets. Also there is a strong push from business stake holders to reduce the operational costs and improve the conversion rates by innovative ways. Hadoop’s (Map Reduce) is not restricted for just archiving large data sets and running analytical jobs, but also has a strong distributed processing architecture and feature capabilities to crunch and solve complex problems.

The opportunities and reach of Hadoop’s (Map Reduce) can be enormous and exponential in near future and it will continue to grow bigger than any one could have imagined, Hadoop/Map Reduce is not just being used by some large companies, but even smaller companies are eagerly trying to adapt its capabilities to explore their data sets. A decade back a TB was a huge storage and costly affair to afford, today even a simple electronic device like a smart phone is capable of generating large data sets (TB/PB) within a very short span of time and we start accumulating every user interaction and activity from the device and provide key intelligent services based on these large data sets, eventually we may have huge clusters of data streaming and flowing all electronic devices, which has to be crunched and provide intelligent insights on them.

You are right Hadoop is not a RDBMS & cannot be real-time, but it is certainly capable of crunching the data in near real time with new additions like (Spark, Storm etc., ) and feeding systems in near real-time. We are very confident that the growth and adoption of Hadoop is going to be persistent in near future & also would recommend you to explore the opportunities you may have even with smaller organizations to adapt Hadoop with justified use cases.

Hope it helps & clarifies some myths about Hadoop & Map Reduce.

Hi Supriya, each class will be followed by practical assignments which can be completed before the next class. We will help you setup a VM on your system to do the practicals. We shall also provide you remote access to our Hadoop Cluster on AWS. Our 24×7 expert support team will be available to help through email, phone or Live Support for any issues you may face during the Lab Hours. the Hadoop certification program provides you the hands-on experience that is essential. You will be working on projects where you will be performing Big Data Analytics using Map Reduce, Pig, Hive & HBase. You will get practical exposure about Data Loading techniques in Hadoop using Flume and SQOOP. You will understand how Oozie is used to schedule and manage Hadoop Jobs. You will also understand how the Hadoop Project environment is setup and how the Test environment is setup. All this exposure and hands-on approach will provide you the necessary experience. This is the greatest strength of Edureka.
Now, to answer your 2nd question: There are multiple career path to choose from. You can become a Hadoop Developer or branch towards NOSQL technologies like Cassandra, MongoDB, or venture in to Analytics Domain like learning Data Science and Spark. Supriya, there are numerous careers paths to choose from but the very first step is to be trained in Hadoop.
For more information regarding the prospect of Big Data and Hadoop, refer to this link: https://www.edureka.co/blog/big-prospects-for-big-data/ Please visit this link for more information https://www.edureka.co/big-data-hadoop-training-certification You can call us at US: 1800 275 9730 (Toll Free) or India: +91 88808 62004 to discuss in detail or write to us at sales@edureka.co.

Hi Venkat, we require more information about your professional background, in order to give concise information. Feel free to call us at US: 1800 275 9730 (Toll Free) or India: +91 88808 62004 to discuss about this in detail.