teamwork
Team interactions must be designed for success
Don't let the org chart dictate how your company builds data products
Latest
AWS
Aurora DSQL - A NEW boring(?) AWS Serverless Postgres compatible database
Aurora DSQL is a serverless, distributed database with PostgreSQL compatibility. Serverless and relational databases don't usually mix, but AWS has modernized this traditional classic car(PostgresSQL), with a brand-new interior powered by a Formula 1...
llm
Security and Data Governance in the Age of Large Language Models (LLMs)
What’s at Stake? As the AI wave reshapes the tech industry, companies are racing to use its potential—whether to improve operational efficiency or deliver shiny new features to their customers. For organizations lacking the resources to self-host mas...
Data Products
Data as a Product, the DataChef way
At DataChef, we know that treating data as a product can be a powerful principle, whether your organization is embracing the Data Mesh architecture or not. We also feel that, while it’s very easy to talk about ‘Data as a Product’, it’s actually quite...
spark
Sparkle: Accelerating Data Engineering with DataChef’s Meta-Framework
Sparkle is revolutionizing the way data engineers build, deploy, and maintain data products. Built on top of Apache Spark, Sparkle is designed by DataChef to streamline workflows and create a seamless experience from development to deployment. Our go...
Devops
Leveling up KafkaOps with Conduktor Console
As organizations embrace streaming data, Apache Kafka has emerged as the backbone for low-latency, high-throughput event processing. This distributed streaming platform enables companies to build real-time data pipelines and streaming applications. H...
Databases
The Symphony of AI: How We Deduplicate Our Databases in the Age of AI
First Movement: Tackling "Almost-Duplicate" Records in Our Database Understanding Our Mission At Datachef, we are on a mission to build our own interconnected knowledge base on Notion, where we organize records of our Hiring Pipeline linked to our ...
llm
From Information to Knowledge: How to Talk to Knowledge Graphs
In the previous parts of this series, we explored the foundational aspects of Knowledge Graphs (KGs), including their difference from traditional databases and the critical role that ontology plays in structuring and organizing data. Now that we have...
knowledge graph
From Information to Knowledge: Ontology in Knowledge Graphs
In the first part of this series, we explored how knowledge graphs are fundamentally different from traditional databases by shifting focus from isolated pieces of information to connected relationships. We also discussed various storage mechanisms f...
knowledge graph
From Information to Knowledge: Part 1 Knowledge Graph Databases
What and Where vs How and Why: Information vs Knowledge Since the start of the IT revolution, we've been storing data with the expectation that it will help us answer future questions. However, the types of questions we aim to answer have evolved ove...
Artificial Intelligence
How many Rs are in the Strawberry?!
Introduction Let’s walk through this question in our own mind! How many Rs are in the word strawberry? The answer is obviously 3, but what went through your brain when answering it? It’s an interesting way to look at our thought process, and like any...
Cloud
Building maintainable cloud-native applications
Introduction Over the past years, I’ve had the chance to work with many clients on cloud-native applications, both new and legacy. From data pipelines to machine learning models to backend systems, I’ve seen it all—and along the way, I’ve witnessed p...