Optimize your data platform knowledge teams processes

Our services

Data Engineering on Azure

Data Engineering on the Azure Data platform involves creating robust and scalable pipelines that ingest, process, and store large volumes of data. By leveraging services such as Azure Databricks, Azure Synapse Analytics, Azure Data Factory and Microsoft Fabric, we enable organizations to transform raw data into actionable insights.

  • Metadata-driven data processing
  • Design and implement data extraction patterns
  • Data Lakehouse platform
  • Best-practice based development
  • On-the job knowledge sharing & coaching

Training & workshops

Staying current with evolving data technologies requires continuous learning and development of expertise. We provide hands-on training and workshop sessions to upskill teams, ensuring they can leverage modern tools to drive data-driven decisions.

  • Packed with knowledge and relevant insights
  • Hands-on and use-case driven
  • Interactive and best-practice fueled
  • Bring-your-own-environment if desired
  • Location of your choice
  • Covering all Azure data services including Microsoft Fabric

Performance optimization

Large data volumes and complex data processing often requires focus on performance optimization. By implementing both generic and use-case-specific enhancements, we ensure data pipelines run flawlessly and complete within the expected time window.

  • Reduce runtimes of data processing
  • Prevent performance-related data processing errors
  • Introducing parallel data processing
  • Optimizing your spark workload

Cloud cost optimization

Using Azure Data Platform services requires effective cloud cost control. We review and optimize data service usage and implement efficient data pipelines to help organizations regain control over their cloud spending.

  • Optimize the use of available Azure resources
  • Monitor cloud costs
  • Tailor dedicated compute to required performance
  • Identify cost-drivers

Interested?

Just get in touch!

Contact us

About Served Insights

My name is Bouke-Jan

I’m a hands-on Lead Data Engineer focused on turning data into valuable insights. Next to developing metadata-driven solutions myself, I advise, inspire, train and coach clients on how to get real value from data using the Microsoft Azure platform. Putting insights first, the technical approach follows.

  • Inspire & advise clients to maximize the value of their data
  • Clean, crunch and model data with several tools, services and languages
  • Optimize performance in data warehousing and data lakehouse solutions
  • Translate business requirements into data-driven solutions
  • Coach & train in both Microsoft Power BI and Azure-stack at several skill-levels
  • Write, present & execute adoption plans for implementing data-driven solutions
  • Gather & serve insights using Microsoft Power BI & Fabric

Tools
Azure Databricks, Azure Synapse Analytics, Azure Data Factory, Azure SQL, Power BI & Fabric

Languages
PySpark, (Spark)SQL & Python

Linkedin