Simplify Data Engineering and Cut Costs in Microsoft Fabric
ON-DEMAND WEBINAR
The adoption of modern data architectures, such as Spark-based Lakehouses within Microsoft Fabric, is reshaping the way organisations manage and analyse data. Yet, for BI professionals and Data Engineers adapting to tools like PySpark, Delta Lake, and Jupyter notebooks often means facing a steep learning curve.
At the same time, the increasing use of AI-generated code brings its own set of challenges, including issues with code accuracy, maintainability, and a growing dependence on senior engineers.
That’s where our partner, TimeXtender, comes in. Join this webinar to find out how TimeXtender’s metadata-driven tool enables BI professionals to succeed in Microsoft Fabric environments — without requiring advanced Spark expertise.
Key takeaways
In this webinar, you’ll learn:
- How TimeXtender empowers SQL-trained teams to visually build enterprise solutions, while auto-generating optimised Spark code.
- How it simplifies complex tasks like dependency management, resource scaling, and Delta optimisation — so BI professionals can focus on insights, not code.
- How to avoid common AI-generated code issues, ensuring consistent, scalable, and maintainable data solutions.
- How TimeXtender reduces costs through less manual coding, faster development, dynamic scaling, and incremental data loading.
Whether you’re a BI professional aiming to expand your skillset, or a leader looking to empower your team in Microsoft Fabric, this session will offer actionable strategies and tools to accelerate your progress while upholding enterprise standards.
Speakers
Tom Cotterill
Tom Cotterill is a highly experienced IT consultant specialising in data integration and business intelligence. As a Senior Business Intelligence Consultant at Climber, he has expertise in SQL and data modeling, plus a strong track record of delivering effective, high-quality solutions.
Adam Rudd
Adam Rudd, Solution Specialist at TimeXtender, brings 18 years of experience in MIS and IT. He’s passionate about using automation to solve data quality challenges and restore trust in business data. Adam understands firsthand how poor data quality impacts decision-making and champions smart solutions to uncover hidden issues.
Any questions? Please get in touch!
Tom Cotterill
Senior BI Consultant
tom.cotterill@climberbi.co.uk
+44 203 858 0668
James Sharp
Managing Director
james.sharp@climberbi.co.uk
+44 203 858 0668
News archive
Agentic AI for Analytics – in Microsoft Fabric
Agentic AI in Microsoft Fabric sounds promising, but how do you actually make it work? Get real answers in this 20-minute session on 27th May.
>> Sign up here
Agentic AI for Analytics – in Snowflake
Agentic AI sounds great, but how do you actually use it in Snowflake? Get practical answers in this fast, 20-minute webinar on 20th May.
>> Sign up here
Agentic AI for Analytics – in Qlik
How does agentic AI actually work in Qlik? Get practical answers on data, models, governance, and setup in this focused 20-minute webinar on 13th May.
>> Sign up here