Big data is now a reality: The volume, variety and velocity of data coming into organizations continue to reach unprecedented levels. The Big Data phenomenon has emerged as a result of vast amounts of data that are becoming available across a wide range of application domains and industries. The Experfy Big Data Training track will provide you with the necessary skills to harness large data sets and analyze big data from a systems engineering perspective. Our industry experts will go in depth and train you in the techniques and tools that they themselves use in Big Data deployments. If you are interested in analytics, then you should also look at Experfy's Data Science Training track.
Hadoop is the flagship within the Big Data ecosystem, comprising of a host of different technologies. While there are many alternatives and variants, including Cloudera, Hortonworks, Amazon EMR, HDInsight, Storm, and Apache Spark—Hadoop as a whole remains the most-deployed Big Data technology. From a career growth perspective, the good news for aspiring big data professionals is that despite surging demand, Hadoop's adoption is being thwarted by the lack of available talent. There are more than 16,000 open jobs on Indeed.com that require Hadoop skills in the U.S. alone. The industry needs fresh talent that has mastered MapReduce, Impala, Pig, and other technologies built on Hadoop. Experfy, which also runs a consulting marketplace, has deep understanding of what the industry demands and what is needed for you to be successful as soon as you complete the Big Data track. The advantage of training with Experfy is that our experts are industry thought leaders and practitioners who are keeping pace with the fast changing landscape of big data technologies. As a result of the industry involvement of our experts, Experfy big data hadoop online training is hands-on, practical and gives you an understanding of how big data tools and technologies are implemented in the real world.
Dr. Stylianos Kampakis
Sports betting and web crawling using Python and machine learning
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Ermin Dedic, Ermin Dedic
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