If a data pipeline fails, business operations grind to a halt; if a Data Governance initiative stalls, the company continues to function, at least in the short term. Can AI help ?.

At a certain point, the quantity of adoption of a technology becomes a quality criterion in itself. This phenomenon greatly influences the decisions of companies and developers, thus creating de facto standards in the industry.

Introduction to the powerful integration of @databricks and @n8n_io, combining scalable unified data and AI processing with versatile low-code workflow automation.

MCP: the new standard for building Semantic Layers?.By standardizing how AI models connect to external tools, databases and business systems, MCP could finally deliver the semantic layer that data teams have dreamed of for years.

From Data Platform, to Modern Data Stack, to Data Platform Again. The evolution of data infrastructure over the past three decades reflects cycles of integration and specialization, shaped by technology advances and changing enterprise needs.

While querying a #PDF file is now a routine task, thanks to technologies like #NotebookLM, processing hundreds of complex PDFs to create a high-performance knowledge base is a challenge. See what you can do with @n8n_io.

#dataobservability and #dataquality are two closely related concepts. Here's how the two concepts are interlinked:.

Choosing the right technology is crucial for a company's success. However, the risks associated with this choice are not always obvious at first glance. Let's take the example of two market leaders, @SnowflakeDB and @databricks.

#dataproduct and #datacontract terms could be considered a modern equivalent of what we already know as microservices and API. It would then simply be an interface allowing access to data in a structured and controlled manner.

Débat Live DATA & AI. On explore les tendances qui façonnent notre industrie et on anticipe les enjeux de 2025/2026.

Construire la plateforme data idéale ? Meetup #moderndatastack avec @OVHcloud et @aiven_io le 3 avril 2025 à 18h.

The Future of #Data is Composable, Portable and Programmable. These interconnected principles are reshaping how organizations handle and leverage their data assets.

At a restaurant, I saw this bottle of wine and its label, and I suddenly realized why @confluentinc, the company behind #Kafka, is named Confluent.

The #moderndatastack category implies cutting-edge technology, but in reality, modernity doesn't always equate to effectiveness.

I recommend @n8n_io. This powerhouse orchestration/automation platform offers a unique blend of flexibility, power and ease of use.

I've just spent some time exploring @n8n_io and I'm impressed by the possibilities offered by this Node.js-based automation tool.

RisingWave is a SQL streaming database (@RisingWaveLabs) that combines stream processing and data storage capabilities. It addresses the growing need for real-time data processing and analysis across various industries.

When I invited Bill Inmon to participate in The Data Sommelier talk show, I never imagined it would actually happen. I was utterly surprised when he said "Yes.".

Does your solution handle fuzzy logic algorithms? At first glance, this question may seem purely technical.

Rejoignez-nous pour un débat en ligne captivant sur la modélisation des données : Kimball vs Inmon vs One Big Table (OBT).