Imagine if annual, quarterly, and monthly forecasting were completely rethought. Imagine if they didn’t take up literally half of your team’s time. How many companies spend six months on their AOP process (or longer!)? And the minute your year starts, it’s outdated!...
Apache Spark is a type of technology that uses distributed systems. In this article, we explain what it is, the key concepts to keep in mind, and provide guidance to help you start using it easily. What is Apache Spark? Apache Spark is a technology that employs...
Snowflake has recently rebranded (or at least repackaged) their managed Polaris offering as Snowflake Open Catalog. Let’s dig in and see exactly what this means for people looking to utilize the solution and for the Iceberg community at large. Overview Although...
In this article, we explain how to create a minimal test plan in data engineering. We discuss the importance of ensuring process quality with a detailed and documented test plan: what, how, and why to test. Is It Possible to Code Without Errors? We know it’s...
In this article, we explain how to build a modern data architecture with AWS. Additionally, we describe the ecosystem of services it offers for Data Analytics projects. We cover each stage: storage, ingestion, transformation, exploitation, and data visualization. How...
Demand Planning is a complex discipline. What at first sounds like a relatively simple question — “how much do we need to order when?” — conceals a vast array of considerations that a business needs to take into account in order to properly manage their inventory and...