Big Data is creating waves in the business world. This means the demand for skilled people who can handle Big Data analytics tools and techniques is on the rise.
If you want to be a part of the Big Data world and want to take up a job in this emerging industry, you must know the skills that are most sought after in this industry.
Here are the 5 essential skills that can land you a Big Data job in 2015.
1. Apache Hadoop
Apache Hadoop is considered to be a driving force behind the expansion of the Big Data industry. Hadoop has been around for about a decade. Hadoop had a significant presence in the industry in 2014. Its hold over the industry is expected to increase in 2015.
While Big Data is regarded as a powerful platform, Hadoop is often considered to be a tough case to handle. It needs to be managed by capable technicians as it is responsible for processing massive amounts of data.
The core components of Hadoop stack comprises of Oozie, Flume, MapReduce, HDFS, Hive, YARN, etc. If you are competent in handling the functionalities of any of these core components, you can be on a high demand in this industry.
NoSQL databases have made quite a mark in the operational side of the Big Data scenario. Distributed and scale-out NoSQL databases like MongoDB is being considered to be very important for the industry. Such databases are efficiently taking over and handling jobs that were earlier managed by massive SQL databases like Oracle.
NoSQL databases are effective as sources of data in Hadoop for mobile apps and Web applications. If you have a good understanding and working knowledge of NoSQL you can be a sought after candidate in the Big Data industry.
3. Data Mining and Machine Learning
Data mining is one of the essential data analyzing techniques that is applied to derive useful information after analyzing the data from diverse perspectives.
It is an old process that has managed to retain its importance in the Big Data world. In fact, data mining has reached a completely new level within the Big Data industry.
Machine learning is another field that is considered to be very important for Big Data. Experts in the Big Data industry have recognised the potential of machine learning that can be used to harness benefits for the industry.
By applying machine learning technology to create predictive analytic apps or by mastering the skills of data mining you can turn out to be a high demand professional in the Big Data industry.
4. Statistical and Quantitative Analysis
Analysis is the backbone of Big Data. If you are an expert in the field of analysis or if you possess extensive and in-depth knowledge in Statistical and Quantitative Analysis, you can turn yourself into an asset for enterprises using Big Data.
If you are skilled in statistical tools like SAS, Stata or Matlab, you will have a very good chance of making inroads into the Big Data world.
5. Programming Languages
Experience in programming applications with the help of general programming languages like C, Java, Python, etc., can score you a point in the Big Data scheme of things. In fact, your skills in programming language can work in your favour against candidates whose skills are limited to just analytics.
The Big Data industry has a significant number of jobs for computer programmers with a background in data analytics. If you fit into such criteria, you can be a valuable resource for enterprises using Big Data.