Reading Time: 5 minutes In our last blog, we tried to understand about using the spark streaming to transform and transport data between Kafka topics. After reading that many of the readers asked us to give a brief description of RDDs in Spark which we used. So, this blog is totally dedicated to the RDDs in Spark. So let’s start with the very basic question that comes to our mind Continue Reading
Reading Time: 4 minutes “If you can dream it, you can do it. ” -Walt Disney For some coding is a job. For some, it is an exercise. But for us folks here at Knoldus, it’s a Passion. So in order to bring a twist in the daily work schedule, Knoldus held an overnight Hackathon competition within the organization on 18th May 2018 which presented an opportunity for every Knolder(employees Continue Reading
Reading Time: 8 minutes “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” – Martin Fowler “I can code.” I always say to myself. But do others think the same? Is my code good enough for people to understand? Do other people think “Damn I wish I could write such code.?” – that’s the main question I always had in Continue Reading
Reading Time: 5 minutes In our earlier blogs we have already gone through The basic Introduction to Cassandra and also tried to explore the Cassandra Reads and Writes. Today we will be discussing something apart from the in-depth theoretical knowledge of Cassandra. In one of our projects , we came through a basic requirement in which we needed to required a local Cassandra cluster for some kind of testing. Continue Reading
Reading Time: 6 minutes In our earlier blog, we explored a bit about Microservices. But let’s take a step back and look into how microservices can be effectively designed. Yes, you guessed it right. We will be talking about the Domain Driven Design or what we call the DDD approach. But before jumping into the concepts of Domain Driven Design, let’s understand 2 basic terminologies : Domain: A domain is the sphere Continue Reading
Reading Time: 4 minutes Hi everyone, Today we are going to understand a bit about using the spark streaming to transform and transport data between Kafka topics. The demand for stream processing is increasing every day. The reason is that often, processing big volumes of data is not enough. We need real-time processing of data especially when we need to handle continuously increasing volumes of data and also need Continue Reading
Reading Time: 7 minutes Ever wondered why do companies like Apple, eBay and Netflix care so much about microservices? What makes this simple architecture so special that it is being hyped so much? Is it worth the pain and efforts to shift an entire running application from monolithic to microservices architecture? Many such questions came to our minds when we started using the microservices in our projects. In this Continue Reading
Reading Time: 5 minutes In our previous blog, we discovered how Cassandra handles its write queries. Now it’s time to understand how it ensures all the read requests are fulfilled. Let’s first have an overall view of Cassandra. Apache Cassandra is a free and open-source distributed NoSQL database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of Continue Reading
Reading Time: 5 minutes Apache Cassandra is a free and open-source distributed NoSQL database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. It is a peer to peer database where each node in the cluster constantly communicates with each other to share and receive information (node status, data ranges and so on). There is no Continue Reading
Reading Time: < 1 minute Hi all, Knoldus has organized a 30 min session on 1st September 2017 at 4:15 PM. The topic was Reactors IO. Many people have joined and enjoyed the session. I am going to share the slides here. Please let me know if you have any question related to linked slides or video. The slides of the KnolX are here: And Here’s the video of Continue Reading
Reading Time: 6 minutes In our previous blog, we tried to explore the upcoming version of i.e Java 9. So this time we try to focus on Scala . In This Blog , We will be Looking onto a New Reactive programming framework for Scala Applications i.e Reactors IO . Reactors.io fuses the Best parts of Functional reactive Programming and the Actor Model. Reactors allows you to create concurrent Continue Reading
Reading Time: 6 minutes In our previous blog , we discussed the features that were added in Java 8. More than three years after the release of Java 8, the next version is now just around the corner with a tentative release date of September 21st, 2017. You may have heard about Java 9’s module system, but there’s even more to this new version. In this blog, We will Continue Reading
Reading Time: 5 minutes JAVA 8 (aka jdk 1.8) is a major release of JAVA programming language development. With the Java 8 release, Java provided support for functional programming, new JavaScript engine, new APIs for date time manipulation, new streaming API, etc. which will be discussed in detail. In this blog, we will focus on What’s New in Java 8 and it’s usage in a simple and intuitive way.We Continue Reading
