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Top 10 Big Data and DataAnalytics 2017

Know about the top 10 big data course which helps to career growth in 2017.For more details visit at https://www.springpeople.com/big-data-analytics

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Top 10 Big Data and DataAnalytics 2017

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  1. 7 Hot Skills For Big Data

  2. Apache Hadoop Hadoop has almost become synonymous to Big Data. Even if it is quite a few years old, the demand for Hadoop technology is not going down. Professionals with knowledge of the core components of the Hadoop such as HDFS, MapReduce, Flume, Oozie, Hive, Pig, H Base, and YARN are and will be high in demand.

  3. Apache Spark With the increasing needs for rapid analysis and processing of Big Data, Spark, the in-memory stack, is being preferred as a faster and simpler alternative to MapReduce, either within a Hadoop framework or outside it

  4. Data Mining and Machine Learning Machine learning is also one of the hottest fields in big data. Big data professionals who can leverage machine learning technology to build and manage predictive analytic applications such as classification, recommendation, and personalization systems are hugely in demand and can grab the top packages in the job market.

  5. NoSQL NoSQL databases like MongoDB and Couchbaseare taking over the tasks previously performed by SQL databases like Oracle and IBM DB2.

  6. Data Visualization Big data is complex and can be tough to comprehend. Performing a multivariate or logistic regression analysis on the data can turn out to be a serious complicated affair at times. Therefore, data visualization tools like Tableau, Qlikview come handy. They let you explore a sample of your data and tell you the shape of your data, or reveal hidden insights.

  7. General Purpose Programming Knowledge of general-purpose languages like C, Java, Scala, Python, etc. can give you the edge over your competitors who are skilled in just analytics. According to Wanted Analytics 2014 hiring survey, the number of job postings for “computer programmers” with a background in data analytics has increased by 337 percent.

  8. R, SAS, Matlab Statistical and quantitative analysis is an essential aspect of Big Data related jobs.  Experience and expertise in statistical tools like R, SAS, SPSS, Matlab, or Stata, can help you lock down the Big Data job you are looking for.

  9. Get Details Visit at https://www.springpeople.com/blog/top-big-data-skills-that-are-high-in-demand/

  10. Thank You

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