Clean Code with Alpakka Kafka
At Damavis we are very aware of the importance for our clients to have access to their data in real time. For this reason, one of our strengths is the development of tools and technologies that can move, transform and…
Category Data Engineering
Introduction to Apache YARN
Basic Single Node Configuration Note: the code of this post has been tested using Apache Hadoop 2.10.1. Please check out our previous post, Introduction to Apache Hadoop, to configure this version of Hadoop, in case you have not done it…
Deploying Airflow: CeleryExecutor on Kubernetes
How to deploy the Apache Airflow process orchestrator on Kubernetes What is Apache Airflow and how does it work? One of the work processes of a data engineer is called ETL (Extract, Transform, Load), which allows organisations to have the…
Introduction to Apache Hadoop
Single Node Configuration Without Yarn Sometimes it might be a bit overwhelming to understand the role of the most common open source technologies used in big data contexts. For example, probably most of you have heard about tools such as…
First steps with Pyspark and Pycharm
Definitive guide to configure the Pyspark development environment in Pycharm; one of the most complete options. Spark has become the Big Data tool par excellence, helping us to process large volumes of data in a simplified, clustered and fault-tolerant way.…
Pentaho PDI Plugin for Airflow
Schedule, orchestrate and monitor your Kettle tasks with Airflow with this Pentaho plugin. At Damavis we know the importance of data processing. Extracting, cleaning, transforming, aggregating, loading or cross-referencing multiple data sources allows our clients to have Insights or Predictive…