Slowly Changing Dimensions in Data Science
Avoiding a common pitfall in data science by enabling history mode.
Avoiding a common pitfall in data science by enabling history mode.
Use schemas to make life easier for your analysts and engineers.
Sync data incrementally, or watch your pipeline grind to a halt.
A watershed year brought continued rapid growth, major engineering advances, and partner awards from Google, AWS, Snowflake and Databricks.
Adopting a cloud-based data warehouse is your shortcut to superior marketing analytics and a 360-degree view of your customers.
From the rise of real data to the death of the dashboard, we pull out our crystal ball to give you the biggest trends and predictions hitting analytic & BI teams in 2021.
Factors to consider when evaluating an external scheduler for Fivetran data syncs.
The partnership will simplify end-to-end integration, improving operational efficiency and increasing revenue for our customers.
Off-the-shelf customer data platforms have serious shortcomings. Consider data warehouses instead.
Keep the bigger picture in mind as you build and use your analytics dashboards. Between devices, websites, applications, online service providers, and platforms of all kinds, modern businesses rarely have a single data source to analyze in our continuously connected world. That’s why how information is presented is almost as important as the quality of the information itself, making the difference between leading with confidence or simply flying blind.
How can you tell when your organization needs to start building a modern data stack? Orchard Analytics provides technical data team services on flexible contracts. Reach out to Phil to learn more. The software abundance problem created the need for data tools, and now -- surprise -- there’s an abundance of data tools.
Combining the best of data lakes and data warehouses.