OLTP vs. OLAP. We can divide IT systems into transactional (OLTP) and analytical (OLAP). In general we can assume that
OLTP systems provide source data to data warehouses, whereas OLAP systems help to analyze it. The following table summarizes the
major…

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PGDay'17; St.Peterburg, Russia; 5 July 2017

Other posts in this series: Introducing Apache Hadoop YARN Apache Hadoop YARN – Background and an Overview Apache Hadoop YARN – Concepts and Applications Apache Hadoop YARN – ResourceManager Apache Hadoop YARN – NodeManager Apache Hadoop YARN – ResourceManager…

There are two options for bulk loading data into HBase with Spark: Note: The bulk load operation is currently not supported for MapR-DB. Basic bulk load functionality The basic bulk load functionality ...

An overview of key big data technologies such as Hadoop, Mapreduce, Apache Spark, Flink and Apache Storm and appropriate use case examples for each.

On this post, we will make a hands-on about Mockito and DBUnit, two libraries from Java's open source ecosystem which can help us in improving our JUnit tests...

Event sourced domain naturally leads to messaging infrastructure and CQRS based services. See how we can benefit from getting rid of typical relational database model replaced by events. See how events come along with projections and different read model.…

There are various ways to access and interact with Apache HBase. The Java API provides the most functionality, but many people want to use HBase without Java. There are two main approaches for doing that: One is the Thrift interface, which is the faster and…

Spring I/O 2017 - 18 -19 May, Barcelona When you’re building microservices, managing state becomes a distributed systems problem. Instead of being able to ma...

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Coding, Japan and general rants from Toyko...