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.


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.


Machine Translation & Text Analytics: Friends or Foes?

#artificialintelligence

Government agencies face similar challenges when it comes to understanding--and gaining intelligence from-- foreign language content. They need to process, manage and gain insight from large volumes of content locked away in different formats, often across multiple languages. And they need to do all of this as quickly as possible. It's no mean feat when you consider the mindboggling amounts of content being generated: 90% of the world's content was created over the past two years alone. Machine translation and text analytics have always been regarded as the two main ways for organizations and agencies to tackle this challenge.


Video Analytics Engine For Enterprises

#artificialintelligence

Our AI provides World's Leading Video Analytics Engine for Enterprises Our AI Super intelligence runs algorithms that are equally powerful to the human brain's algorithms.