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How and why we use PostgreSQL in Ryax
We use PostgreSQL in Ryax as a way to store information for all our stateful services, each service ...
JSON files analysis through API calls and MariaDB storage in Ryax
In this use-case, we’ll explore two inescapable concepts when it comes to developing productio...
Deploy your first backend automation with Ryax
Deploy your first backend automation with Ryax This tutorial introduces you to the essentials of Rya...
Ryax open source has launched!
Today is a big day for us... Today we launch our #lowcode #opensource backend platform! We've spent...
Quickly generate APIs in Ryax
**This is an exciting week for us as we'll be launching our opensource platform this Thursday! We'll...
Backend workflow runs in Ryax
It's time to jump right into the subject and talk about backend workflow runs! In Ryax, you DEPLOY a...
Actions in Ryax are what gets the job done
We've already talked about triggers, listening to external events to start an automation chain. Let'...
How to build a Python backend? (Part 1: internal architecture)
How to build a Python backend? (Part 1: internal architecture) So you want to create a full-featured...
Why do we want to open-source our next product?
Why will we open source our next product? This is a question we asked our developers: - Because it p...
Triggers will jump start your backend workflows
Another sneak peek at our platform: triggers Triggers are the heart of automations, they allow for c...
How Should I talk to my clients? Use Clienteling as your key everyday practice for your business
I. What is clienteling and why should I care about it? There’s no doubt you’ve been hearing this...
The easiest method to get a price optimization for your product in Excel
After using our beloved Excel for sales forecasting, it is now time to think about which pricing str...
A 10-min step by step guide to predict if a customer will come back
“Yes, I do already have a CRM, what else do you want me to do uh?” That’s exactly the point...
The industrialization of enterprise AI
Artificial Intelligence is today a key factor of development and performance. Even if AI has been pa...
Top 3 easy sales forecasting methods for your retail business
Planning out the future of your Business isn’t something new for you. However, your Nostradamus sk...
IoT issues and solutions for better indoor air quality
The Internet of things (IoT) has more and more applications in everyday life. Among the issues relat...
Les enjeux et les solutions IoT pour une meilleure qualité de l’air intérieur
L’Internet of things (IoT) a de plus en plus d’applications au quotidien. Parmi les enjeux liés...
What is a data warehouse?
We explain what a data warehouse is, what you need to know about it and how it differs from other fo...
Deep learning: understanding artificial neural networks
Deep learning is more and more developed in our era of technological development. There is more and ...
Smart City: how to carry out this project?
Smart City, a new way of understanding urban development, aims to improve the quality of life of a c...
How does serverless computing work?
Labelled by the Gartner consultancy firm as one of the big trends in infrastructure and operations, ...
Machine learning: how to industrialize your models?
Currently, a multitude of machine learning models are in the making or in the testing phase. Yet few...
Basic skills of a good data scientist
Labelled ten years ago as the sexiest job of the 21st century, the job of data scientist attracts. B...
Smart city: focus on energy issues
Today's city is a smart city, i.e. clever. Thanks to technological developments, we are now able to ...
Smart Data: What are the differences with Big Data?
For ten years now, we have been heralding Big Data as a real revolution. Yet data as such is raw mat...
Edge computing and Smart cities
Technology gives us the opportunity to live better in an urban environment, and data is at the heart...
What is provisioning?
Provisioning is a process that automatically allocates computer or telecommunications resources to r...
What are the benefits of data-driven?
Data-driven characterizes a process that starts from the established data and verifies whether this ...
Data lineage: operation and advantages
Data lineage, or data tracing, allows you to retrace the steps involved in the creation of a stored ...
What is Industry 4.0?
That's all people are talking about: Industry 4.0 is the future of the factory. This catch-all conce...
What are the benefits of automating your data analysis?
Data science and artificial intelligence go hand in hand: both feed and enrich each other. The possi...
Design pattern: what is it and why use it?
The design pattern is an essential element in object-oriented programming. It is a software infrastr...
BaaS: Zoom on the Blockchain as a Service
In recent years, more and more companies have been adopting Blockchain's technology, despite its tec...
DaaS: Zoom on the Desktop as a service
DaaS, or Desktop as a Service, is a Cloud computing offer by which a company delivers workstations h...
IoT and Big Data: Understanding the relationship between these two technologies
Today, technological advances are gaining momentum in the lives of users, but also in the world of b...
How has deep learning changed the field of artificial intelligence?
Find out how deep learning has become so important in recent years and the prospects for this learni...
What is middleware?
Middleware, far from being an enemy, enables interoperability and communication between the numerous...
Reactive programming: what is it?
Reactive programming is implemented more and more frequently in the corporate world. It is a program...
CCPA and GDPR: fundamental differences
In terms of personal data protection, the General Data Protection Regulation (GDPR) is the law in th...
How can 5G evolve IoT solutions?
5G is getting ready to take over the connectivity network business. With its higher data rates and l...
What is the MLOps?
The MLOps is an adaptation of Agile practices to the world of data on the way to production. It is t...
Industry 4.0 or the challenge of the digital transformation of the industry
Industry 4.0 is undoubtedly the main challenge for the industry of the future. Digital has become es...
Research paper: Container orchestration on HPC systems through Kubernetes
Access this paper Abstract Containerisation demonstrates its efficiency in application deployment in...
Data science: a growing field
Appeared in the 2000s, data science has become key issue of the future due to the emergence of a con...
Safety and machine learning
This article details the main security risks associated with machine learning, provides an overview ...
How to scale up in AI?
How to ensure that the AI solutions developed will be used? How to scale up and ensure the adoption ...
Data and predictive maintenance
Predictive maintenance consists mainly in anticipating maintenance needs in order to avoid a product...
Data storage: what are we talking about?
When we talk about data storage, we are talking about the methods and technologies that allow digita...
Outlook 2021: Focus on IoT in Healthcare and Industry
The current context pushes companies to use new technologies, in particular the Internet of Things (...
Energy performance: the challenges of smart buildings
This article puts the spotlight on intelligent buildings and their energy performance issues. Ene...
Data analysis for energy savings
Whether for budgetary or ecological reasons, energy consumption is a concern for many companies and ...
Laboratory automation
Like many other sectors, the medical field is undergoing a revolution. Technological advances in dat...
Data Analysis for Ecological Transition
Thanks to the Internet of Things and the development of big data, new opportunities are arising on a...
Scalability: the challenge of scale-up data projects
The majority of companies consider data integration and big data projects to be a priority. Future d...
DataViz: added value for a Big Data project?
Dataviz is definitely an added value for a Big Data project. A simplified analysis can be obtained t...
Everything you need to know about deep learning
Deep learning is a concept designed to enable a computer system to learn by example. Developing its ...
Data protection and data science
Data is becoming more important in many areas. It becomes indispensable for marketing strategies, op...
How to do a good Big Data Proof of Concept
At the origin of any Big Data project completed, there is a proof of concept. This essential step al...
The role of the data engineer
If you belong to the X or previous generations, you did not grow up in the big data era. Roles such ...
What solutions are available to limit the impact of data centers on the environment?
In recent years, the increase in the number of data centers has been a cause for concern. Energy-hun...
8 Best Practices for Big Data Project Management
With the emergence of Big Data, companies are busy managing more and more data. It takes a lot of sk...
Better regulation of building energy with data
In recent years, data collection and processing has enabled the deployment of smart buildings and in...
What is the Native Cloud?
The Native Cloud is a new concept that makes it possible to produce applications and run them in a m...
SAN, NAS, DAS: differences
In terms of data storage, it is sometimes difficult to identify the differences between SAN, NAS, an...
How do AI and Big Data help fight against COVID-19?
Artificial Intelligence and Big Data offer a lot of perspectives in terms of detection, prediction o...
Data and GDPR: what you need to know
It is now more than two years since the General Data Protection Regulations came into our lives for ...
Data lake: 5 best practices
When a company is confronted with a large volume of data, a data lake quickly becomes essential. A v...
Data quality monitoring
Is data the oil of the 21st century? Like black gold, data is a source of energy and its transformat...
What is multi-cloud?
The multi-cloud strategy translates into the use of multiple cloud services of the same type (privat...
Connected vehicle: the challenge of data
Today, the connected vehicle is the policy of every car manufacturer. How can we optimize new techno...
What is a data pipeline?
The data pipeline is a concept that allows companies to optimize data transfer, while optimizing and...
Cloud computing vs edge computing
Processing an exponential amount of data involves ever more sophisticated calculation solutions. Whi...
Gateway: its role in IoT
With the development of technology, the Gateway is expected to play a major role in IoT. The IoT, or...
DataOps: DevOps 2.0
DevOps was designed to reduce software deployment time by pooling the skills of development teams an...
What is machine learning?
Machine learning is a computer process that is frequently used in the implementation of artificial i...
Edge computing and data security
Do you want to prevent your data from being found at a competitor's house or being exposed in the pu...
What is DevOps and how can it be linked to data science?
In this article, we explain very simply what the DevOps approach is and how DevOps principles can be...
CDN: the benefits of the Content Delivery Network
The Content Delivery Network has many advantages. It is a network made up of servers connected to th...
What is a data science platform ?
What is a data science platform and how does it benefit your organization? Ryax answers your questio...
IoT and sustainable development
The IoT, or Internet of Things, will improve general well-being. It also represents an opportunity t...
What is the difference between Data Preparation and Data Exploration?
In the phases of preliminary data preparation, it is sometimes difficult to see the difference betwe...
Data engineer : job and salary
What is a data engineer? What are their technical skills? How do you train for the job? What is a da...
What is data engineering?
We hear more and more about data engineering. And for good reason, this discipline is now a branch i...
Fast data: real-time analysis of big data
Fast data refers to the application of real-time big data analysis to smaller datasets. Over the yea...
The strengths and uses of a Data Lake
The Data Lake, is a location for the storage of raw big data, which is analyzed and organized only a...
What is a Software-Defined Network (SDN)?
The Software-defined network or SDN is a different way of designing computer networks. For non-speci...
BIM: definition and objectives of Building Information Modeling
In recent years, Building Information Modeling (BIM) has been a real trend in the construction indus...
What is a SaaS solution?
A SaaS solution is a software service directly accessible from a server, e.g. from a web browser. Th...
Ryax takes part in the Smart-Agriculture revolution with CYBELE
Ryax orchestrates Precision Agriculture data analytics workflows for CYBELE European project Data wo...
Air Quality and Mobility Project (AQMO)
Air Quality and Mobility Project (AQMO) The AQMO project addresses the air quality challenge, thanks...