- Apache Hadoop- as software vendors are targeting the distributed storage and processing architecture, need for Hadoop is increasing
- Apache Spark-The rapid rise of the in-memory stack is being extended as a faster and simpler alternative to MapReduce-style analytics.
- NoSQL-Databases like MongoDB and Couchbase are taking over jobs previously handled by monolithic SQL databases like Oracle and IBMDB2.
- Machine Learning and Data Mining- Big data pros who can harness machine learning technology to build and train predictive analytic apps are in high demand Statistical and Quantitative Analysis-Add in expertise with a statistical tool like R, SAS, Matlab, SPSS, or Stata is of high demand in today’s world.
- SQL- SQL is still in demand for the next-generation of Hadoop-scale data warehouses.
- Data Visualization-It has become most important in the job market.
- Progamming Languages-Knowing programming languages like Java, C, Python, or Scala could give you the edge over other candidates. Read more at:
http://www.datanami.com/2015/01/07/9-must-skills-land-top-big-data-jobs-2015/