streaming analytics

A Quick Demo: Kafka to Flink to Cassandra

Reading Time: 3 minutes Hi Folks!! In this blog, we are going to learn how we can integrate Flink with Kafka and Cassandra to build a simple streaming data pipeline. Apache Flink is a framework and distributed processing engine. it is used for stateful computations over unbounded and bounded data streams.Kafka is a scalable, high performance, low latency platform. It allows reading and writing streams of data like a messaging system.Cassandra: A distributed and wide-column Continue Reading

Flink: Join two Data Streams

Reading Time: 3 minutes Apache Flink offers rich sources of API and operators which makes Flink application developers productive in terms of dealing with the multiple data streams. Flink provides many multi streams operations like Union, Join, and so on. In this blog, we will explore the Window Join operator in Flink with an example. It joins two data streams on a given key and a common window. Let say we have one stream which contains salary information of all Continue Reading

Flink: Union operator on Multiple Streams

Reading Time: 3 minutes Apache Flink offers rich sources of API and operators which makes Flink application developers productive in terms of dealing with the multiple data streams. Flink provides many multi streams operations like Union, Join, and so on. In this blog, we will explore the Union operator in Flink that can combine two or more data streams together. We know in real-time we can have multiple data streams from different sources Continue Reading

real time analytics in banking

Banking on Real-Time Analytics for Better Customer Experience

Reading Time: 4 minutes The digital storm has now made its presence felt across various industries and the banking and financial sector is also not far behind. The way customers interact with banks is not the same anymore. Things have become “in-the-moment” and banks need to be responsive as things get up to speed. Customers have become so used to mobile and online banking, that it’s taken for granted Continue Reading

Fast Data: The New Age Analytics For Enhanced Customer Experience

Reading Time: 6 minutes Data is evolving both in terms of quality and quantity in today’s enterprises and in the past few years, changes have occurred at a much faster pace. Not long ago, Big Data was considered the next big thing for digital transformation. Technologies like Hadoop and HBase made sense as batch processing of data was the norm. But things are not the same now.  By the Continue Reading