Akka Typed Actors: Exploring the receiver pattern

In the previous article we looked at some of the basic features provided by Akka Typed. In this article and the next one we’ll look a bit closer at some more features and do that by looking at the two different patterns provided by Akka Typed: the Receiver and the Receptionist pattern. If you’re new to Akka Typed, it might ...

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Event sourcing + free monads = free sourcing?

I recently wrote about Event Sourcing and Free Monads. The natural next step is combining the two! How would a free monad adjusted for event sourcing look like? Please bear in mind that the below is just really a draft, not a complete solution. Hence any suggestions for improvements are very welcome! But, let’s review the basic assumptions. Our application ...

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Introduction to Apache Spark with Examples and Use Cases

I first heard of Spark in late 2013 when I became interested in Scala, the language in which Spark is written. Some time later, I did a fun data science project trying to predict survival on the Titanic. This turned out to be a great way to get further introduced to Spark concepts and programming. I highly recommend it for ...

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What is a Tidy Codebase?

I came across the book recently ‘The Life-Changing Magic of Tidying Up.‘ I think I got a sample on the Play Store and right away thought ‘wow, this woman is an amazing writing voice.‘ Now that I have read a bunch of the book I know why: 1. it‘s a screed, delivered politely, like a witches curse delivered in a ...

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Enterprise Applications Customization with Microservice

Introduction Today in highly paced enterprise environment you, as the leader of enterprise IT division, need to be fast. Simplicity is the key for the speed. What are the key factors to simplify your IT? Three different areas are very important to take care of: Technology, Organisation and Environment (TOE Framework: http://goo.gl/tQlX5z). Here are some detail points for technology and ...

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NoSQL vs. SQL: Choosing a Data Management Solution

Table Of Contents 1. Introduction 2. Distributed systems: the CAP theorem 3. Relational data stores 3.1. MySQL / MariaDB 3.2. PostgreSQL 3.3. Others 4. Why NoSQL? 5. Key/Value data stores 5.1. DynamoDB 5.2. Memcached 5.3. Redis 5.4. Riak 5.5. Aerospike 5.6. FoundationDB 6. Columnar data stores 6.1. Accumulo 6.2. Cassandra 6.3. HBase 7. Graph data stores 7.1. Neo4J 7.2. Titan ...

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