Blog
News, updates and stories from the field. From partnerships to project outcomes.
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Our knowledge base contains in-depth articles about data warehousing, cloud platforms, dashboards and data-driven operations.
What is Windmill? Automating workflows, scripts and internal tools
Windmill helps teams automate scripts, workflows, apps and AI steps reliably. Read what Windmill is good at and when another approach fits better.
Data Sovereignty and Cloud Data Platforms
Data sovereignty is about control over data, infrastructure and access. Learn how to choose a cloud, sovereign cloud, on-premises or hybrid data platform.
Geopolitics & data warehousing: data away from the US
Geopolitics affects your data. How do we keep our data safe and away from US jurisdiction? European cloud alternatives and portability explained.
Microsoft Fabric: 7 points to consider
Microsoft Fabric is Microsoft's all-in-one data platform. What are the advantages and disadvantages, and when is an alternative wiser?
Query Tool updated: what you need to know!
Query Tool has been improved. Not just bug fixes - interesting new features have been added too. Watch the video here!
How your organisation can get more value from data
Want more value from your data? Reliable, complete and traceable data for everyone - how do you achieve this in practice? Read our vision.
Building APIs for a data consumer
APIs can incorporate input from other systems. How does this work and how do you make this process as seamless as possible?
Video report: Datalab Round Table Accountancy
The Datalab Round Table is a unique occasion to exchange ideas, hold in-depth discussions and make valuable connections.
What is a data warehouse and when do you need one?
A data warehouse brings data from different sources together. Learn when a data warehouse is the right choice for your organisation.
"Just give us everything."
Everything in your data warehouse? Gain insight into unlocking your data. Read the key considerations for optimal data quality.
Data warehouse benefits when using Power BI
Striving for efficient data processing, analysis and visualisation? A data warehouse forms the foundation for successful data-driven strategies with Power BI.
Scheduled Reporting in data-driven operations
Scheduled reporting ensures relevant data analyses reach the right people at the right time. Why it is essential for data-driven organisations.
Consistency in a potentially inconsistent environment
Datasets from very different sources can cause inconsistencies. A well-organised data warehouse ensures consistency through smart staging patterns.
What is data?
Data is a representation of a measurement. It only becomes information once you know what it means and how it is represented.
Choosing new software? Check data accessibility
Many organisations overlook one crucial aspect when choosing new software: how well can the data be extracted from the application? A checklist.
Matching data from different sources
How do you transform different data sources into a data warehouse? Learn the best approach for mapping entities and maintaining consistency.
Unlocking Google Ads performance data
Automatically unlock your own performance data via the Google Ads API? Read how you can easily gain insight into your data stream.
How do I choose the right data warehouse software?
Time for a data warehouse - but which software? Commercial or open source? Cloud-native or flexible? Read our step-by-step plan for making the right choice.
Data catalogue: a must for 4 reasons
Essential for every data project: maintaining a data catalogue. Why this is so important and how it prevents costly mistakes.
Major changes ahead in traditional accountancy
There are numerous opportunities to take concrete steps in the accountancy sector quickly. And that reaches further than automated processes.
Migrating to a new system: practical tips
Changing applications? Read six tips for a smooth transition. Avoid pitfalls and develop a shadow migration strategy.
Data quality: prerequisite for data-driven work
Data quality determines everything in data-driven work. Learn why good data management is essential and how to prevent data silos.
Data lakehouse: why it is not the ideal combination
Data lake, data warehouse or data lakehouse? Structured data storage is essential for combining data sources. We examine the trade-offs.
Data from Exact Online: connector or data warehouse?
Exact Online contains valuable data. A connector gets it out, but if you want to combine data with other sources, a data warehouse is the better choice.
Alternatives to Power BI
Power BI is ubiquitous. Are there alternatives? Metabase offers extras like automated dashboards - no more DAX queries. A serious contender.
Fizi workshop on data
Datalab delivered a well-attended workshop on data-driven work during the Fizi Annual Event 2023. View the presentation and key insights.
Erratic practices: starting with data in practice
Legacy processes make data processing difficult. Data contradicts itself. How a data warehouse brings order to the chaos.
From ecologist to data engineer - part 3
Jasper updates us on his progress from ecologist to data engineer. Read his experiences and discover what becoming a data engineer involves.
A look behind the scenes: cashflow forecasting
Luc and Joris - master's students at Utrecht University, Applied Data Science - researched cashflow prediction. Read their findings.
Which cloud for data science? Preventing vendor lock-in
Working in the cloud has pros and cons. Four tips help you select the right provider. There are more options than Google Cloud, Amazon AWS and Microsoft Azure.
Datalab introduces: QueryAI tool
Writing queries (complex data requests from the database) can be difficult. That is why Datalab introduces our self-developed QueryAI tool.
Why is Power BI slow? Three smart tips
Power BI can be slow. Discover three practical tips to make Power BI faster: memory optimisation, data modelling and query reduction.
Building input tools with R Shiny and dlinputtool
Within R Shiny there are ways to structure and reuse code: codes are separated and therefore reusable. Meet our dlinputtool package.
From ecologist to data engineer - part 2
Jasper tells his story about the career switch from ecologist to data engineer. What challenges does he face? What goes well? And what's next?
Data-driven work: not a goal in itself
Data is a broad concept, and so is working with data. At its core, it is about making evidence-based decisions or distilling signals about opportunities and threats.
From ecologist to data engineer
Jasper blogs about his remarkable career switch: from ecologist to data engineer. Read his story and join the journey into the world of data.
Storing data in a structured data warehouse
A data warehouse is a central repository for all your organisation's data. What structure should you give the data? An overview of Inmon, Kimball and Data Vault.
Starting with data-driven work: what you need to know
Starting with data-driven work is a process that must be well thought through. Max shares concrete tips for taking the first steps successfully.
Apache Airflow: the ETL tool
Extract, transform and load data with Apache Airflow. How do you set up data pipelines and what makes Airflow the orchestrator of choice?
Data and data security
Working safely with highly sensitive data, such as patient data or financial records, requires diligence. There is much you can do - Harmen explains.
Ethics, privacy and security in data-driven work
Privacy and ethics are more important than ever. Datalab applies an ethical framework based on EU guidelines and dares to say 'no'.
R Shiny: more than just dashboards
The number one use of R Shiny is creating beautiful dashboards. But R Shiny can do so much more - from data entry tools to interactive apps.
Working in the cloud: why would you?
In the cloud, you can do everything you can with local IT infrastructure. What is involved in working in the cloud for business? Security, costs and more.
Data engineer in practice
What exactly is data engineering and why would you specifically want to hire someone for it? We ask Koen, our data engineer.
DatalabFabriek is now Datalab
We have been building for over a year with considerable success. But it can always be better. We critically examined our proposition and saw an opportunity to improve.
BI, Business Analytics or Data Science: the difference
What are the differences and similarities between Business Intelligence, Business Analytics and Data Science? Clearly explained with practical examples.
Getting your organisation enthusiastic about data-driven work
Data-driven work affects the entire organisation. Training, education and buy-in are essential for a successful transition.
How do you build a data-driven organisation?
Many organisations want to work data-driven. It is not technology but soft skills that determine success. Read and watch what this delivers.
Starting with data-driven work: how and where to begin?
Starting with data-driven work begins with critically examining where your organisation stands. Discover the steps and key considerations.
Data lake or data warehouse: which do I need?
Which is better - a data lake or a data warehouse? We explain the differences and which type best suits your organisation.
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