This video travels through time to look at some of the pioneers in the analytics space, and also at some of the early use cases. We also explore how businesses today are leveraging analytics, to augment customer-experiences across touch-points.
What is Hadoop?
Hadoop is a Java-based open-source framework, which uses a distributed storage and distributed processing approach to break-down large data sets. Hadoop distributes the large blocks of data to nodes in a computer cluster, which then processes data in parallel, using Jar files sent to them byMapReduce, the programming/processing model used in Hadoop.
The volume of user-generated data that is churned out through digital platforms has grown exponentially over the years. Internet Live Stats shows that Google receives over 47,000 search queries, 8,400+ tweets gets posted on Twitter and 1,664 photos get uploaded to Instagram, every second of the day; and that’s not even the tip of the iceberg! Data is ubiquitous – it is present in diverse forms. The challenge is to rein in these large blocks of unstructured data, deconstruct it, and finally piece together useful information that helps form meaningful insights. Continue reading