Snowflake

A New Era for Open Data Formats Snowflake has announced the general availability of Snowflake Storage for Apache Iceberg on both AWS and Azure, marking a significant shift in how enterprises can build open, interoperable data lakehouses. This development combines Snowflake’s enterprise reliability and governance capabilities with the flexibility and openness of Apache Iceberg, one of the most promising open table formats in the data ecosystem. What is Snowflake Storage for Apache Iceberg? Snowflake Storage for Apache Iceberg enables users to query and manage Iceberg tables using Snowflake’s SQL engine while storing data in their own cloud object storage. This is fundamentally different from traditional Snowflake architectures—you get: ...

The question “Databricks or Snowflake?” has dominated data engineering conversations for the past five years. In 2026, it’s still the wrong question. But let me answer it anyway, because sometimes you have to pick one. The Honest Framing By 2026, both platforms have converged in surprising ways: Databricks started as a Spark compute engine and added warehouse features Snowflake started as a cloud data warehouse and added Iceberg support for lakehouse semantics Both now claim to be “lakehouses” that combine data lake flexibility with warehouse performance The difference isn’t in capability - it’s in architectural DNA, operational model, and what they expect you to optimize for. ...

How to Use This Guide This curated list covers courses from beginner to advanced levels across multiple platforms. Choose based on: Your role: Data Engineer, Data Analyst, or Data Scientist Learning style: Self-paced courses, specializations, or nanodegrees Timeline: Single courses (weeks) vs. comprehensive programs (months) Hands-on practice: Most include projects and real-world scenarios Cloud platform: AWS, GCP, Azure, or multi-cloud approaches Data Engineering Professional Certificates (Industry-Backed) Best for: Structured learning with recognized credentials ...