Big Data

Of all enterprise IT workloads, data-based infrastructure has been the hardest to deliver using a cloud-based deployment model. Data assets are typically the last to move over to a cloud…

The previous blog in this four-part series on Big Data & Kubernetes discussed integration points between Spark and Kubernetes. Let us now consider multiple integration possibilities for Hadoop/Spark with a…

Introduction Even before using Kubernetes for orchestration, the advantages to packaging Big Data applications and their dependent libraries using containers are manifold. A huge bugbear in advanced Big Data &…

Starting this week, we will do a series of four blogposts on the intersection of Spark with Kubernetes. The first blog post will delve into the reasons why both platforms…

The Buy Side is perhaps the biggest segment of Wall St & the financial markets – there are roughly 7,000+ mutual funds, thousands of hedge funds which invest across 40,000…

In 2018 we are rapidly entering what I would like to call ‘Big Data 3.0’. This is the age of ‘Converged Big Data’ where its various complementary technologies – Data…

After a decade of focusing on compliance with regulatory mandates, Banks are back at fixating on technology innovation. The reason is obvious – over the last five years, Silicon Valley majors…

A  question that I get a lot from customers is around how Big Data can help augment CRM systems. The answer isn’t just about the ability to aggregate loads of information…

I had the recent honor of being interviewed by Nick Ismail, editor at Information Age UK. We discussed IT trends driving financial services worldwide. For this week’s blogpost, I wanted to…

We have repeatedly discussed how Predictive Analytics built on Big Data capabilities can create a tremendous amount of differentiation and value for Banking and Insurance companies. However, one of the…