INTRODUCTION Hadoop and Apache Spark both are big-data frameworks, but direct comparison of Hadoop and Spark is difficult because they do many of the same things, but are also non-overlapping in some areas. Hadoop is essentially a distributed data infrastructure, It distributes massive data collections across multiple nodes within a cluster of commodity servers, which means you don't need to buy and maintain expensive custom hardware. It also indexes and keeps track of that data, enabling big-data processing and analytics far more effectively than was possible previously. Spark, on the other hand, is a data-processing tool that operates on those distributed data collections; it doesn't do distributed storage Hadoop have many components of modules that work together to create the Hadoop framework. The primary Hadoop framework modules are: · Hadoop Common · ...
Sir I have tried downloading it but it's redirecting me to another website and I'm not seeing were to download the pdf on the website...Nazeh
ReplyDeleteI also tried..
ReplyDeleteThis comment has been removed by the author.
ReplyDeleteYeah...... same here
ReplyDelete