Featured Posts
Introducing Census SaaS Datasets: Connect, Transform, and Activate Your SaaS Data
Get quality data faster by connecting any SaaS app to your modeling and enrichment tools
Why we chose Iceberg as the foundation for Census Store
Why Iceberg makes object storage work, and how we're making Census more efficient with Census store
Two Ways to Enrich Directly in the Warehouse
Copy our SQL to enrich data directly in your warehouse, or try it via our HTTP enrichment protocol.
How to query Iceberg locally using Spark, PyIceberg, or duckdb
Learn how to efficiently query Iceberg data locally using Spark, PyIceberg, or DuckDB, focusing on catalog types, data storage, and read/write capabilities.
Understanding Iceberg Support in the Databricks Ecosystem
Explore how Databricks integrates Iceberg support via Unity Catalog and UniForm, enabling seamless data management within Spark-based environments.
The Ops Leader's Guide to Operationalizing AI
The tools we love, the prompts we use, and the rollout process that works.
A Deep Dive into Polaris: Simplifying Iceberg Catalog Management
Explore how Polaris simplifies Iceberg catalog management with enhanced cross-compatibility and unique features for Snowflake users and beyond.
Using Managed Iceberg Tables to Build a Datalake Inside Snowflake
Discover how to leverage Snowflake's Managed Iceberg Tables to efficiently build and manage a datalake, integrating seamlessly with external object storage.
How the Data Warehouse helps you meet GDPR Compliance
Data warehouse features like access controls, encryption, and data masking ensure GDPR compliance when paired with a secure data activation platform
Apache Iceberg 101: The Table Format Reshaping Data Lakes
Learn why Apache Iceberg separation of storage and compute is revolutionizing data architecture.
Using SQL to create segments based on geo locations
Census Audience Hub is built from the ground up to run on your data warehouse, so you can directly write SQL to create segments in addition to using the UI
Introducing Sync Tracking: Enhanced Data Observability and Debugging
Sync Tracking is a powerful new feature in the Observability Toolkit that provides row-level visibility into every record synced in the last 14 days