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Nothing can beat Big Data Hadoop in terms of job opportunities. The reason is that companies are now depending upon it for building highly scalable factories for data storage and analysis. Although Hadoop started about ten years ago, it's demand today is felt in industries more than ever and is growing. Initially it was used by social media and search engines (Yahoo, Google, Facebook, Twitter...)
Today, it is used in production by many large companies in all industries. Worldwide revenues for big data and business analytics are growing and expected to cross $150 billion in 2017. The ecosystem in Big Data is continuously expanding and today we have Hadoop, Spark, Storm, Kafka, Hive, Pig, Oozie and many other tools that are replacing old methods and software tools for ETL and Data Warehousing. All Fortune 500 companies have either implemented Big Data technologies or are seriously considering going for it. Naturally, the job prospects are on the rise. Read this article from International Data. Corp. (IDC). Read here
Read this article from Forbes: Big Data jobs in 2016
Nothing works without learning. There is a huge shortage of talent in Big Data. IN the beginning the prospect of learning Java to make Map Reduce work in Hadoop was intimidating. Today, there is no fear as tools do the job of converting your simple commands to Map Reduce Java code. No more spending hours on heavy Java code. Take the example of Spark, a new tool that emerged and is rocking the industry today. It works best with Scala and is easy to learn and implement. It saves hours of work writing code for analyzing data collected using IoT.
So don't just sit on the sidelines. Take the first step to get into Big Data. Learn Hadoop and move on to Spark and other innovative tools!
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