CUDA Tutorial – Blocks and grids
In the first part of the CUDA Tutorial, we mentioned the GPU’s smallest unit of execution, warps, the equivalent of a kernel on a CPU. However, warps alone cannot harness the full power of the GPU; you need to make…
Apache Spark Structured Streaming: Practical examples
In a previous article, we gave a theoretical introduction to Spark Structured Streaming where we analysed in depth the high-level API that Spark provides for processing massive real-time data streams (Structured Streaming). There, we looked at the essential theoretical concepts…
Git for beginners
Git is a version control system that has become an essential tool for software development. It allows teams of developers to work collaboratively on the same code and efficiently manage change history. In this post we will introduce Git at…
Key tips for integrating your RMS without failure
The integration of technological tools and solutions based on Big Data and AI, such as Revenue Management Systems (RMS), are essential allies to maximise profits and optimise an organisation’s revenue. More and more companies are opting for the incorporation of…
What is Minikube and how does it work?
In the world of application development, container-based deployment environments are becoming more and more common, and Kubernetes has established itself as the standard for container-based deployment. However, for many developers, setting up and managing a complete Kubernetes cluster can be…
CUDA Tutorial – Warp
CUDA is the language used for programming on NVIDIA GPUs, it is vital for a large number of computing tasks, and yet it is a mystery to a large number of programmers. In this post, we attempt to explain some…
OData v4 protocol: Metadata and basic queries
Data processing and consumption are essential elements of the contemporary business world. Therefore, there are mysterious pieces of software, commonly abbreviated as APIs, whose role is fundamental in this traffic of information. APIs (Application Programming Interface) are mechanisms for integration…
Theoretical introduction to Spark Structured Streaming
In recent years, data processing with low latency, practically in real time, is becoming a requirement increasingly demanded by companies in their big data processes. It is in this context where the concept of stream processing is introduced, which refers…
Pricing with rule system using Linear Programming
The pricing systems currently used in companies have a substantial difference with respect to those of 20 years ago. We have moved from static pricing systems, that is, constant prices at different times of the year, to dynamic systems, where…
Watermarks in Apache Spark Structured Streaming
Apache Spark’s Structured Streaming API is a powerful tool for processing real-time data streams. In this context, there are certain use cases where ensuring the accuracy of the processed data is not trivial due to the time dimension that inherently…