Data Evolution by Apache Spark

data evolution2014 was a year for Big Data Hadoop spark but 2015 has been estimated as an year of evolution for Big Data Hadoop. The industry experts feel there is a long way to go. For the year 2015 Apache Spark holds extended capabilities for Big Data Hadoop. These capabilities include more time based analysis. In the coming year we can witness new transcend for Big Data Hadoop. The Spark services shall be introduced along with the Spark packages.

Spark from Big Data Hadoop is an analyzing engine that helps to analyse the data which has been stored over large computers. Like Hadoop, spark uses unstructured data for analysis. If the data is unable to fit in the data warehouses, Spark package can be used to analyse the same. It can be used to work on event logs. Hadoop Map reduce can be replaced with the faster methods from Spark. It had sorted 100 terabytes of data within 23 minutes whereas Hadoop took 72 minutes to process the same amount of data. Spark also offers new business intelligence services. After analysing the data, the results are converted to narrative format just like the way we have in PowerPoint presentations. The most advantageous feature is faster processing time for the data. Since the data is rapidly increasing day by day we need innovations to handle such enormous amount of data. The new approach also helps to find solutions for complex queries in the data analysis. Additional music streaming services have been provided for the users to get seamless music services. Spark project was initialized in the year 2008 and now it’s ready to be used in the market. The core people are from big companies like yahoo, Intel and Groupon. This new technology can be used in combination with Big Data Hadoop.

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