Moving data science into production has quite a few similarities to deploying an application. But there are key differences you shouldn’t overlook. Agile programming is the most-used methodology that ...

Data Science is a structured approach to extracting valuable insights from data, and it involves several key stages to ensure success. Let's explore each phase in detail: By following this structured ...

You can cook food in a microwave in minutes. But we don’t say that microwaves “democratized” cooking. Preparing a meal requires much more: selecting and preparing ingredients, optimizing the cooking ...

I recently moderated a webinar roundtable on behalf of Domino Data Lab called “Unleash Data Science for the Model-Driven Business You Expect.” I don’t know that everyone expects a model-driven ...

Historically, IT organisations have defined data strategy with a focus on storage. A data strategy must address data storage, but it must also take into account the way data is identified, accessed, ...

Deploying data science into production is still a big challenge. Not only does the deployed data science need to be updated frequently but available data sources and types change rapidly, as do the ...

If you would like to the basics of data science to give you a much better understanding of the subject and a foundation to build on. You might be interested to know that the team over at DATAtab have ...

Apache Spark and Hadoop, Microsoft Power BI, Jupyter Notebook and Alteryx are among the top data science tools for finding business insights. Compare their features, pros and cons. While data has its ...