As organizations are discovering the value of data-driven decision-making, more and more companies are looking to adopt a data science practice. With that, the demand for data scientists is on the rise. However, if an organization aims to quickly scale their data science practice, it is not reasonable to expect data scientists to hold all the responsibilities of the practice. It is certainly Read More
Big Data
Using Data Lakes vs. Data Warehouses
With the rise of Big Data, there has been a lot of talk around the best way for an organization to collect and store all their data as well as which data storage strategy is going to allow an organization to best leverage their data for business insights. Data lakes and data warehouses are two different types of Big Data storage repositories. Data warehouses are nothing new and have long been Read More
Scaling Large Data Science Environments with Spark and Kubernetes
The evolution of technology means that IT infrastructure teams have had trouble keeping up with their company's scaling needs. Our team at Vertical Trail has assisted many clients with this issue, and one of our preferred methods is using Spark on Kubernetes. Spark and Kubernetes have unique capabilities and benefits, but together, they bring out the best of each other to achieve more. This was Read More