When we imagine a simple programming algorithm, it is logical to think about a succession of instructions that are executed sequentially, where the next instruction will not be executed until the one immediately preceding it has been completed. However, depending…
How to leverage Streaming technologies like Apache Kafka and Apache Spark for Batch processing ETL process. Central piece of the Big Data project Collecting, ingesting, integrating, processing, storing and analyzing large volumes of information are the fundamental activities of a…
It is well known that the use of UDFs (User Defined Functions) in Apache Spark, and especially in using the Python API, can compromise our application performace. For this reason, at Damavis we try to avoid their use as much…
In this article we are going to tell you some ways to solve problems related to the complexity of data engineering itself. An Airflow DAG can become very complex if we start including all dependencies in it, and furthermore, this…
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…
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…
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…
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…
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…
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.…