4 Methods to Transfer Data from SQL Server to Snowflake
Is connecting SQL Server to Snowflake essential for the success of your data stack? Choose your favorite from these 4 step-by-step methods.
Is connecting SQL Server to Snowflake essential for the success of your data stack? Choose your favorite from these 4 step-by-step methods.
Learn how to enable Change Data Capture in SQL Server with our detailed guide. We’ll show you how to set up CDC and use it to track changes.
Streaming data from Postgres to Snowflake is a great way to support transactional and analytical workloads. And it’s easier than it seems.
A Postgres to ElasticSearch pipeline is a great way to store and analyze tons of relational data- as long as you keep the two systems in sync.
Syncing data from MySQL to Parquet lets you power both transactional and Big Data workloads. But setting it up effectively isn’t easy.
Syncing your relational database and data warehouse (ie, Postgres and BigQuery) reliably is critical. But it doesn’t have to be hard.
Building a pipeline between Kafka and PostgreSQL has innumerable benefits for your stack. It shouldn’t have to be hard.
Your team can reap the benefits of both Google Sheets and Postgres without sacrificing data integrity across your stack.
Until recently, connecting Google Cloud Firestore to Snowflake hasn’t been easy. Here’s why (and how) to integrate this powerful pair.
MySQL and Snowflake are both powerful foundations for your data stack – but must be unified around the same data. Here’s how.