Shannon Lowder

JDBC in Databricks: Pulling Data From SQL Server Without Leaving Your Lake

Your source data is still in SQL Server. That's fine — it doesn't have to move all at once. Databricks can read from SQL Server over JDBC, which means you can start building Spark pipelines against live data before you've migrated a single table. Here&

JDBC in Databricks: Pulling Data From SQL Server Without Leaving Your Lake

Your source data is still in SQL Server. That's fine — it doesn't have to move all at once. Databricks can read from SQL Server over JDBC, which means you can start building Spark pipelines against live data before you've migrated a single table. Here&

JDBC in Databricks: Pulling Data From SQL Server Without Leaving Your Lake

Your source data is still in SQL Server. That's fine — it doesn't have to move all at once. Databricks can read from SQL Server over JDBC, which means you can start building Spark pipelines against live data before you've migrated a single table. Here&

Getting Power BI Connected to Databricks Without the Pain

2018 in Azure Data Factory: The Year It Became a Real Platform

End of year. Time to take stock. 2018 was the most significant year for Azure Data Factory since the service launched in 2014. Let me walk through what landed, what it means, and what's still unfinished. What Shipped ADF v2 GA — February The GA release locked the v2

CTEs in Spark SQL Go Further Than T-SQL CTEs

Z-Ordering: The Thing You Use Instead of an Index

Reading External Data in Databricks: S3, ADLS, and Everything Else

Schema Enforcement vs Schema Evolution: Pick the Right Default

Delta Lake Time Travel Is Not a Gimmick

Small Files Are Killing Your Delta Lake Performance