{"id":66504,"date":"2018-06-11T11:01:24","date_gmt":"2018-06-11T11:01:24","guid":{"rendered":"https:\/\/www.whizlabs.com\/blog\/?p=66504"},"modified":"2018-06-11T11:01:24","modified_gmt":"2018-06-11T11:01:24","slug":"big-data-skills","status":"publish","type":"post","link":"https:\/\/www.whizlabs.com\/blog\/big-data-skills\/","title":{"rendered":"Top 10 Big Data Skills to Get Big Data Jobs"},"content":{"rendered":"

Big Data has become an inevitable word in the technology world today. The data sciences and big data technologies are driving organizations to make their decisions, thus they are demanding big data skills. It isn’t a buzzword nowadays as it has hit the mainstream.\u00a0 The tools and technologies in the field of Big data have also grown tremendously.\u00a0For the real-time analysis and usage of data, big data is the answer. Let’s dive deep into the Big Data world!<\/span><\/p>\n

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Recommended Reading: Top 10 Open Source Big Data Tools<\/a><\/p>\n<\/blockquote>\n

Why is Big Data the \u2018Hottest\u2019 Job in the Market?<\/b><\/span><\/h2>\n

Data Science, Data Analytics, Machine Learning and of course Big data are the most trending in the current job market for a while now. Wherever you see, people are talking about \u2018data’. There are scores of websites generating data and information every second. These might include social media, Sensex logs, online activity logs etc. This data is generated at a very high rate, and it becomes important to extract information from the huge data sets.<\/span><\/p>\n

Organisations today often face an urgent requirement to collect and store this data so that nothing is missed. It is often the fact that the correct and efficient use of data can prove to be a competitive edge for the companies today. They want to analyze and use this data for strategy building, cost-cutting, and decision-making at an organizational level.<\/span><\/p>\n

Here come the roles of Big data professionals like Data scientists, Data engineers, data analysts etc. According to a forecast, the market for big data is going to be worth USD 46 billion by the end of this year. The annual growth of this market for the period 2014 to 2019 is expected to be 23%. With the growing need for work in big data, Big data career is becoming equally important.<\/span><\/p>\n

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\u00a0Chart caption: Enterprise Big data adoption study as per IDG 2014<\/i><\/span><\/p>\n

Hence, there is a need for vast workforce training to become expert at these technologies. The organizations are looking for employees who can work on these technologies to manage and analyze this data effectively.<\/span><\/p>\n

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Want to know about the current status of Big Data job market? Here are the Job Trends for Big Data Professionals <\/span><\/a>in India!<\/span><\/p>\n<\/blockquote>\n

Top 10 Big Data Skills in Huge Demand in 2018<\/b><\/span><\/h2>\n

The Big data world is continually changing today with more number of innovations taking place every day. To land these lucrative jobs, certain special big data skills can help you greatly.<\/span><\/p>\n

1. Apache Hadoop:<\/b> There has been tremendous growth in the development of Apache Hadoop in the last few years. Hadoop components like Hive, Pig, HDFS, HBase, MapReduce, etc. are in high demand these days.\u00a0<\/span><\/p>\n

Though Hadoop has entered its second decade now but has grown in popularity from the last 3-4 years. Many software companies are using Hadoop clusters very commonly. This is undoubtedly the big thing in big data. The aspiring professionals shall become proficient in this technology.<\/span><\/p>\n

2. NoSQL:<\/b> The NoSQL databases including Couchbase, MongoDB, etc. are replacing the traditional SQL databases like DB2, Oracle, etc. These distributed NoSQL databases help in meeting the big data storage and access needs. This complements the expertise of Hadoop with its data crunching ability. The professionals with NoSQL expertise can find opportunities everywhere.\u00a0<\/span><\/p>\n

3. Data Visualisation:<\/b> The data visualization tools like QlikView, Tableau can help in understanding the analysis performed by the analytics tools. The complex big data technologies and processes carried out are tough to grasp, and this is where the role of professionals come into the picture. A professional well versed with data visualization tools can get a chance to grow in their career with the big organizations.<\/span><\/p>\n

4. Machine Learning:<\/b> Data mining and Machine Learning are the two hot fields of big data. Though the landscape of big data is vast, these two make an important contribution to the field. The professionals that can use machine learning for carrying out predictive and prescriptive analysis are scarce. These fields can help in developing recommendation, classification and personalization systems. The professionals with the knowledge of data mining and machine learning are heavily paid as well.<\/span><\/p>\n

5. Apache Spark:<\/b> Spark acts as a more straightforward and quicker alternative for complex technology like MapReduce. It has become very popular lately with or without the Hadoop framework. Many organizations are adopting the technology and hence are looking for people with the Spark skills. The rise of the in-memory stack of Spark has made the Spark a high paying job as well.<\/span><\/p>\n

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New in the Big Data world? Here we’ve explained how you can start Big Data Career<\/a> as a fresher.<\/span><\/p>\n<\/blockquote>\n

6. Quantitative Analysis:<\/b> Quantitative and Statistical analysis is a significant part of big data as it is all about numbers. The background in statistics and mathematics helps a lot. The knowledge of tools like SAS, SPSS, R, etc. help in adding to your skills as well. Hence, the industry required professionals with the quantitative background in large numbers.<\/span><\/p>\n

7. Programming Languages:<\/b> Certain general-purpose programming languages can help you a great deal in gaining a competitive edge over others. These programming languages include Java, Python, C, Scala, etc. Even the programmers with experience in data analytics are in great demand. <\/span><\/p>\n

8. Data Mining:<\/b> Data mining has reached new heights in today\u2019s IT world. The professionals who carry the experience of data mining tools and technologies are in demand for big data jobs. Data mining tools like Rapid Miner, Apache Mahout, and KNIME are some of the most sought-after data mining skills in the market.<\/span><\/p>\n

9. Problem Solving:<\/b> Even if you carry the knowledge of all tools and technologies in the big data field, the ability of problem-solving and creativity will help you to perform your tasks well. Implementation of big data techniques for efficient solutions will require both these qualities in a professional. <\/span><\/p>\n

10. SQL:<\/b> SQL is the data centered language that works as a base for the big data era. The knowledge of Structured Query Language will essentially be an added advantage to the programmers while working on big data technologies like NoSQL. It is also an important part of the Hadoop Scala warehouses. <\/span><\/p>\n

How to Develop Your Big Data Skills?<\/b><\/span><\/h2>\n

This is indeed the most relevant question while you are thinking to grow as a Big data professional. No doubt, it needs a right roadmap to develop your big data skills that can boost your big data career. There are certain technical as well as business skills that you need to build for venturing into a big data career. These might include:<\/span><\/p>\n