I have been in data (in the fuzziest sense of the word) since about 2009, whether that means data engineering, management, analysis, strategy, or visualization. Over that time, things have changed drastically. In my first “real” data position, I was asked to identify and organize fallout from a claim auto adjudication engine to identify ways to…
The work of data engineers is extremely technical. They are responsible for designing and maintaining the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to data warehouses. A data engineer needs to have a solid understanding of commonly used scripting languages and is expected to support the steady evolution of improved Data Quality,…
In today’s data-driven world, two data professional roles that play crucial roles are data engineers and data analysts. Both these professionals aid the process of extracting data-driven insights, but they possess distinct skill sets and responsibilities. Below are some key facts about educational backgrounds and job roles of the data engineer vs. data analyst, as well as the…
Starburst customers who prefer to manipulate data using dataframes as opposed to regular SQL will be happy with a pair of announcements made today. That includes the introduction of PyStarburst, which provides a PySpark-like syntax for transforming data residing in Starburst’s hosted Galaxy environment, as well as support for Ibis, a portable dataframe library developed…
As one of the fastest-growing fields, technology continues to drive transformative changes across various industries, with new advancements emerging each year. Consequently, the demand for data analytics jobs is expected to surge in the near future, with a significant need for data science practitioners worldwide. The U.S. Bureau of Labor Statistics (2021) projects a 22% growth…
