Reading Time: 5 minutes Hello everyone, in this blog I’m going to discuss different git commands. I hope this Cheat Sheet – Git will be helpful to you and will clear some doubts if you have regarding any command. So, let’s begin! Installing Git To start, first, we need to install git. Following are the simple commands to do that: Configure After installing git you have to configure user Continue Reading
Reading Time: 3 minutes Hi everyone, today I’ll be discussing different types of Map is Scala. I will try to differentiate between the different types of maps to make it easy to understand. So, let’s begin !! What is a Map in Scala? A map is a collection in Scala. It is a collection of key/value pairs. The key and value pairs are also known as mappings and associations. Continue Reading
Reading Time: 6 minutes I hope from the above picture you can get an idea of “how an implicit can be useful”. This is just a single use case and if you are more interested in knowing about Implicit then this blog is for you. In this blog, I am going to discuss Implicit in Scala. I hope this will be useful to you. So, let’s talk about implicit Continue Reading
Reading Time: 4 minutes Apache Spark is a fast and general-purpose cluster computing system. In Spark, we can do the batch processing and stream processing as well. It does near real-time processing. It means that it processes the data in micro-batches. I have discussed more Spark Streaming in my previous blog. Now in this blog, I’ll discuss Stateful Streaming in Spark. So let’s start !! What is Stateful Streaming? Continue Reading
Reading Time: 4 minutes In today’s world we have a lot of data. And this data will only grow more and more in future. According to a study, in 2020, the data produced is abound 44 zettabytes each day. And by 2025, approximately 463 exabytes would be created every 24 hours worldwide. Do you ever imagine how one can store or process this much data ?A solution to this Continue Reading
Reading Time: 4 minutes In my previous blogs I discussed about akka-streams , materialization and graphs in akka-stream . It was so easy to create sources, sinks and flows and connect them using methods and create runnable graphs. Now consider a situation where I’m getting data from Kafka and want to push it in Cassandra or Elasticsearch ? How to create such source or flow or sink that can Continue Reading
Reading Time: 2 minutes In my previous blogs on Lagom, we discussed Persistent Entity and Read-side and Write side in Lagom. In this blog, I’m going to discuss how serialization is handled in Lagom. But before that let’s understand what serialization is ? Serialization is a process of converting an object into the stream of bytes so that you can store or transmit it in memory, database etc. Its Continue Reading
Reading Time: 4 minutes In my previous blogs, I discussed about the basics of akka-streams and materialization. Now let’s dig deeper into Graphs in Akka-Streams. Graphs Till now we know how to create a linear pipeline/linear graph. But in real life scenario we generally don’t have linear graphs to implement. The graphs can be complex. In Akka Streams computation graphs are written in a more graph-resembling DSL. It aims Continue Reading
Reading Time: 4 minutes In my previous blog, I discussed about the basics of akka-stream. Basically, it was an introduction to akka-stream to get you started. There I mentioned about materialization which is a really important concept in Akka-Streams. And in this blog I’m going to discuss about it and some related topics in detail. So, let’s begin ! Akka-Streams Basics Let’s revisit the basics first. So, the data Continue Reading
Reading Time: 4 minutes As the world is growing, so is the data. And analysis of this data has become important. But how will you do it? How will you work with the data whose size is unknown to you? A solution to this scenario is Akka-Streams and here I’m going to discuss it. In this blog you will get to know the basics of Akka-Streams just to get Continue Reading
Reading Time: 3 minutes Lagom is a framework that is used for building reactive microservices. It provides support for building read side and write side views of the data so that querying a microservice becomes easier. In this blog, I’ll discuss about how having a read side view is beneficial and also important in microservices. Before reading this blog I’ll recommend you to have some knowledge about Event Sourcing Continue Reading
Reading Time: 3 minutes In this growing world, where number of users for softwares are increasing day by day, we need softwares that are easy to manage, easy to modify and easy to scale to handle the traffic. Several technologies, architectural patterns, best practices have emerged over these years. Microservices is one of those architectures that have emerged. In this blog, we will learn about microservices. So, let’s get Continue Reading
Reading Time: 4 minutes Lagom is an open source framework for building systems of Reactive microservices in Java or Scala. It is build on Akka and Play. It has a concept of persistent entity and in this blog, we will learn about persistent entity in Lagom in detail. First of all, before reading about persistent entity it would be better if you have some knowledge about Event Sourcing and Continue Reading
