data consulting

ETLs vs ELTs: Why are ELTs Disrupting the Data Market?

Posted on

Photo by Samuel Sianipar on Unsplash In the business world, cloud technology has become more and more dominant in recent years. Right now, research shows that about 50% of all business data is stored in the cloud, which just demonstrates the importance of external data sources and their place in the modern business environment. In […]

Read More

consulting

How To Modernize Your Data Architecture

Posted on

Data is continuing to prove to be a valuable asset for businesses of all sizes. I say that both from the fact that consulting firms like McKinsey have found that in their research companies that are using AI and analytics can attribute 20% of their earnings to it. Similarly, I have been able to consult for […]

Read More

What Is MLOps And Why You Should Implement It Into Your Machine Learning Pipelines

Posted on

Background In 2014 a group of Google researchers put out a paper titled Machine Learning: The High-Interest Credit Card of Technical Debt. This paper pointed out a growing problem that many companies might have been ignoring. Using the framework of technical debt, we note that it is remarkably easy to incur massive ongoing maintenance costs at the […]

Read More

5 Great Libraries To Manage Big Data With Python

Posted on

Photo by Markus Spiske on Unsplash Python really is everywhere at this point. Although many gatekeepers argue whether a person is really a software developer if they don’t code in a language more difficult than Python, it still is everywhere. It’s used to automate, manage websites, analyze data, and wrangle big data. As data grows, the way we manage it […]

Read More

9 Great DataOps Tools For Your Team

Posted on

Photo by Martin Adams on Unsplash Introduction Now that organizations are dealing with big data on a day-to-day basis to generate useful insights, we require more efficient software/data development lifecycles. The era of big data calls for some powerful data operation tools which can automate processes and reduce the cycle time of the data analytics for enormous datasets. […]

Read More