Hadoop VS Spark: Which is the best Data Analytics engine?

@machinelearnbot

A lot of discussion among experts in the field of big data analytics is over which of the two data analytics engines, the Hadoop or the Spark, is the better performer when it comes to applications in business. While Hadoop has been around for a long time, Spark is a new data analytics system released just couple of months ago. Both systems have been developed by apache, with both systems being an open source platform. Both Hadoop and Spark have their own plus points with regard to performance. There are some applications in which Hadoop scores above Spark, but Sparks ease of use and speed of operations is way ahead of Hadoop.


Big Data Analytics Training in Chennai Hadoop Analytics Training

#artificialintelligence

Big Data Analytics helps organizations to use their data in an effective way to find new opportunities in the market. The Data Analytics leads to move your business into smarter, more streamlined operations, greater profits with satisfied customers. Big data technologies such as Hadoop and cloud-based analytics makes significant cost advantages when it comes to storing large amounts of data. Also, they can find more productive ways of doing business. The combination of High speed of Hadoop and in-memory analytics, we can analyze new sources of data easily.


Bolt-On Customer analytics solution for Hadoop

@machinelearnbot

Customer360 manages all aspects of data on-boarding and aggregation. A transformed data lake is created by cleaning, harmonizing and linking with identifier across different source systems. The Transformed data lake also serves data for the customer analytics data mart, which powers interactive analysis and reporting needs. Statistical algorithms can tap into the transformed data lake for predictive and prescriptive analytics. The meta data layer provides a common definition for the business metrics and access control to the data across different layers.


Hadoop VS Spark: Which is the best Data Analytics engine?

@machinelearnbot

In the book Hadoop: The definitive guide, Tom white quotes Grace Hopper, "In pioneer days they used oxen for heavy pulling, and when one ox couldn't budge a log, they didn't try to grow a larger ox. We shouldn't be trying for bigger computers, but for more systems of computers." For long Hadoop has been the data analytics system preferred by businesses all over. The recent entry of the spark engine has however given businesses an option other than Hadoop for data analytics purposes. A lot of discussion among experts in the field of big data analytics is over which of the two data analytics engines, the Hadoop or the Spark, is the better performer when it comes to applications in business.


Hadoop VS Spark: Which is the best Data Analytics engine?

@machinelearnbot

In the book Hadoop: The definitive guide, Tom white quotes Grace Hopper, "In pioneer days they used oxen for heavy pulling, and when one ox couldn't budge a log, they didn't try to grow a larger ox. We shouldn't be trying for bigger computers, but for more systems of computers." For long Hadoop has been the data analytics system preferred by businesses all over. The recent entry of the spark engine has however given businesses an option other than Hadoop for data analytics purposes. A lot of discussion among experts in the field of big data analytics is over which of the two data analytics engines, the Hadoop or the Spark, is the better performer when it comes to applications in business.