Have you ever found yourself developing PySpark inside EMR notebooks? Have you debugged PySpark locally, but wanted to run it over a real and big data
Whatever your business challenge, you’ll need data you can rely on to solve it. It’s highly unlikely that the data you have in-house offers the scope
Finding the right vendor for alternative data is really hard. Each has their own processes and schema, down to the format the datasets are provided in
Few types of regulation have ever proved to be as far-reaching or game-changing as GDPR. Pretty much any organization in the world with an online presence
In the business of external data enrichment for data science, the main focus is on the ability to provide a fast and scalable way to aggregate, join and
As organizations move from data analytics to data science, their data needs evolve, too. Without data, there is no machine learning (ML). But we’re not talking
Here’s a question: does your organization have all the information it could ever need to succeed? I’ve yet to meet a business leader whose answer to
To decision-tree or not to decision-tree, that is the question. Or to cluster, for that matter. Or to linear regress. Classification is a key part of
Staying ahead of the curve in marketing becomes more challenging all the time. From perfectly tailored ads to personalized deals, customers have high expectations. Up-and-coming competitors
