Christian Henrik Reich

medium.com/@christianhenrikreich

Sr Solution Architect @ Microsoft. Started programming as kid, and still do. Have made everything from embedded programming to data warehouses. Last decade, focus has mainly been on data. From optimizing and infrastructure to designing and building data solutions in cloud and on-premise.

Christian Henrik Reich's Sessions

Outperform Spark with Python Notebooks in FabricSQLBits 2025

While Microsoft Fabric initially focused on Spark, its distributed approach can be overkill for smaller tasks. Python Notebooks often deliver more efficient, cost-effective performance. This session shows when and why Python outperforms Spark.

Adapting to Fabric Spark: A SQL Server Practitioner’s Path ForwardSQLBits 2026

A hands-on workshop for SQL Server practitioners moving into Microsoft Fabric: Lakehouses, Spark, query plans/statistics, and Delta Lake. Different tools, same fundamentals.

An Apache Spark query's journey through the layers of Microsoft FabricSQLBits 2026

Follow an Apache Spark SQL query from optimizer to execution across Spark and Microsoft Fabric. Catalyst, Tungsten, Fabric’s native C++ engine, and the Delta Lake/Parquet storage layers are covered, grounded in Spark source code, with practical tips to optimize for speed and cost.

Beyond Chatbots: Leveraging AI for Unstructured Data ProcessingSQLBits 2026

A practical session on going beyond chatbots: using modern AI architectures and services to turn unstructured data (images, audio, text) into usable insights and integrate it with relational data, with actionable next steps to get started.

Empowering Lakehouse Solutions with Fabric WarehouseSQLBits 2026

This session spotlights Microsoft Fabric Warehouse: a deep dive into the engine, performance, its role in lakehouse solutions, and interoperability with Spark and Lakehouses, helping you apply it effectively in real architectures.

Outperform Spark with Python Notebooks in FabricSQLBits 2025

While Microsoft Fabric initially focused on Spark, its distributed approach can be overkill for smaller tasks. Python Notebooks often deliver more efficient, cost-effective performance. This session shows when and why Python outperforms Spark.