In this article, we explain what a modern data architecture is, what its layers and components are, and analyze the pros and cons of both the data warehouse and the data lake. What is a data architecture? Data architecture is a combination of technologies that...
Embarking on a journey toward data excellence requires more than just technological prowess; it demands a strategic approach that unifies, organizes, and empowers every facet of your data ecosystem. The expert advisors and engineers at Lovelytics understand the...
In this article, we explain the 5 features that need to be understood to get started with Databricks. We also delve into what Databricks is and how it works, what lakehouse architectures are, and the kinds of problems they aim to solve. Finally, we explain how to use...
Introduction This post will focus on the external data selection process when it comes to choosing regressors to include in scenario-based forecasting. There are a few different types of external data we can use in forecasting: covariates which are series with no...
Time series are a string of numbers varying across time. It could be the weather, sales of tissue paper, electricity demand of a region, or countless other things. There are plenty of useful things to do with this type of data, but here, the focus is on forecasting:...
