Kohera is “probably” the best Belgian player offering cutting-edge, full-service solutions on the Microsoft Data Platform. In a simple nutshell: we structure data and turn these into knowledge, hereby always employing state-of-the-art technologies.
Whether the goal is to improve work performance, take better decisions or make well-founded forecasts, we make it possible with the Microsoft Data Platform. Our passion for data makes us the experts that go the extra mile for the customer.
Juggling with data holds no secrets for Kohera’s wizard team.
Ploegsteert Brickworks improves production process with more reporting
Discover our services
A lot of valuable information is stored in your IT systems. Our services offer you fast and easy access to those valuable information sources, so that faster business processes can be developed and better insights can be gained.
Azure Data Services
As a Microsoft Cloud Solution Provider, Kohera focuses heavily on Azure Data Services. What does that mean for you? We advise you on all data-related services on Azure, and then define together which services suit you the most and how they fit in your data strategy.
Successful companies make the best decisions faster thanks to business analytics. Whatever your ambitions may be, analysing is an essential element in determining your strategy and achieving your goals.
When you think of SQL Server, think of Kohera. Our experienced team of SQL database architects helps you to create a reliable and stable database environment, Whether it is in Azure, on your own infrastructure or hybrid, we always look for the best solution to meet your needs.
At Kohera you get more than just a team membership card. You also get the keys to our kingdom. After having opened the gates, you’ll find a team of wizards juggling with data. Do you worship data and Microsoft? That’s a good start. It doesn’t matter whether your experience with Azure, Power BI and SQL Server is long-lasting or charmingly fresh. It’s the passion we share that counts. Our kingdom is filled with infectious humour, down-to-earth self-reflection and professional passion. That’s how we turn data into knowledge.
We offer our customers practical solutions, hereby always aiming at the most pragmatic approach to achieve fast results. We therefore always use the most recent versions and possibilities as much as possible.
Years of experience
Since its very beginning, Kohera has focused on the Microsoft Data Platform. Even though we are not unfamiliar with other platforms or technologies, our surplus value has always been our in-depth knowledge of the Microsoft suite. It is not for nothing that we are a Microsoft Gold partner.
Kohera has superb wizards on board who love juggling with data. It’s in our nature to do more than what is expected. Customers and colleagues are often surprised by the magic we can perform. That makes us more than ‘just experts’.
Do you also want to become a Koherian? We are looking for people who share the same professional passion like we do. People who just can’t get enough of the Microsoft data platform. Eager to get to know us? Send your data to email@example.com, and we will soon get in touch with you.
For some reason developers like stuffing their SQL with SVFs, and that... makes... it... so... slow. Are SVFs really that bad? And is scalar-valued function inlining useful at all? Let’s walk through it together and find out!
While XML has been suitable as a SQL Server native datatype since SQL 2005, for one reason or the other it’s not often used - with only a very few working examples. This blog post is meant for T-SQL teams looking for a working XML example on SQL Server, including schema binding and XML indexes.
What can go wrong when you combine memory-optimized tempdb with the resource governor? If you are using SQL Server 2019 you’ll see that one of the new features allows you to convert some tempdb system tables in in-memory OLTP.
Naar aanleiding van een migratieproject bij een van onze klanten, kreeg ik inspiratie om enkele zaken rond Partitioning uit te klaren. Partitioning is geen performance feature, maar is voornamelijk een methode om het management van grote tabellen te vergemakkelijken.