Build a modern data stack by following best practices from data engineering experts. Learn about data maturity, data stack components, and how to build.
Data warehouses have emerged as a viable solution for collecting, analyzing, and leveraging data. Find out if your organization needs a data warehouse.
Take an in-depth look at data platforms, why your business might need one, and tips for making an informed technology decision.
What are data lake platforms and how did they come about? What are the components of a cloud data lake? Find out in this article covering the basics!
AWS Datalake is one of the best known solutions for handling vast amounts of varied data. We look at the data lake and its architecture.
Should I build a data lake? What are the benefits and challenges of data lakes?
Electronic medical records processing, compared to paper-based systems, is much more convenient—but it also brings about another huge advantage.
Healthcare and data lake can go hand-in-hand to save lives, and this is how the healthcare industry has been utilizing the technology.
Keras seq2seq learning is the process of training models to convert sequences from one domain to sequences in another domain generally used for machine translation. Read our blog post further to learn more about how to sequence.
E-commerce big data is on the rise. If you own the data, you own the market and can make smart, data-based decisions to attract more customers. Read our blog post to learn more about big data trends in e-commerce.
Are you interested in Python website scraping? Read our blog post to learn more about the best tools to harvest data from any website and Python libraries that make it possible.
Electronic medical record software helps to efficiently communicate with patients and staff, track their performance, and practice efficiency, as well as organize the whole healthcare workflow in one place. Learn more about this system in our blog post.