Differences between Big Data Hadoop and Spark you should Know

Category: Technology

What you observe when you listen to any conversation regarding big data? Of course, you listen to a lot of about Hadoop or Apache Spark. In case you want to know more these two technologies, keep reading this blog…….. They might sound the same but they do different things Remember, they do different things, although they might sound the same. Yeah, both are the big data frameworks, but do not really serve the same purpose. Hadoop is a distributed data infrastructure or framework that distributes massive data sets across multiple nodes in a cluster of commodity server that reduces the chances of buying and maintaining expensive custom hardware. Also, there are indexes that keep track of the data, which enables the big data processing as well as analytics in a far more efficient way than what was possible earlier. Whereas, Spark is a data processing tool that runs on those distributed data sets. It doesn’t carry out distributed storage functionality. For details pls visit - http://www.madridsoftwaretrainings.com/hadoop.php