Reading Time: 3 minutes Hello everyone, I know there are lot of blogs present on the kafka you can go through. So that rather than explaing the basic concepts of kafka and architecture, Here we will look into the kafka producer internals.Will see that what happens internally when producer send the message into topic. Also will see what happens when consumer consumes messages. Imagine….. Let’s suppose producer wants to Continue Reading
Reading Time: 3 minutes In two previous blogs, we explored about Vertica and how it can be connected to Apache Spark. The first blog in this mini series was about reading data from Vertica using Spark and saving that data into Kafka. The next blog explained the reverse flow i.e. reading data from Kafka and writing data to Vertica but in a batch mode. i.e reading data from Kafka Continue Reading
Reading Time: 4 minutes In previous blog of this series, we took a glance over the basic definition of Spark and Vertica. We also did a code overview for reading data from Vertica using Spark as DataFrame and saving the data into Kafka. In this blog we will be doing the reverse flow i.e. working on reading the data from Kafka as a DataFrame and writing that DataFrame into Continue Reading
Reading Time: 4 minutes We live in a world of Big data where the size of data is so big even for small results. This is the result of an increase in data collection on a rapid scale in the modern world. This massiveness of data brings the requirements of such tools which can work upon such a big chunk of data. I am pretty sure that you guys Continue Reading
