Upside


Move Over Data Scientists, Analytics Engineers Have the Sexiest Job

Why the analytics engineer will displace the data scientist as the world’s sexiest job, and how the modern data stack plays a part in this trend.

Privacy-Enhancing Technologies: From Buzz to Reality

Enterprises are adopting more robust privacy and data protection regulations, but there are limits to an approach based solely on privacy-enhancing technologies. Here are four things to keep in mind.

Data Digest: Delivering Effective, Modern Data Governance

Managing today’s risks, implementing effective data governance, and cleaning up messy data sets.

Data Stories: Fancy Charts and Simple Charts

Creating fancy spiral plots, an argument against box plots, and how to use simple charts effectively.

Q&A: Classification, Clustering, and ML Challenges

In this Q&A, we look at two key machine learning approaches -- what they are, how they’re used, and the challenges of implementing them -- with Naveed Ahmed Janvekar, a senior data scientist at Amazon.

Data Digest: Advice and Guidance for Data Science

Tips for new data scientists, the roadblocks facing data science programs, and perspectives on ethical data science applications.

How Developers Can Leverage Low-Code/No-Code Tools to Make Themselves Invaluable

Thanks to new low-code/no-code tools, developers are able to refocus themselves on more advanced analytics tasks.

Data Digest: Unstructured Data Governance, Financial Services Risks, and Data Inventories

How to approach data governance for large amounts of unstructured data, risk trends for financial services, and the benefits of a data inventory.

Executive Q&A: Data Management and the Cloud

Moving data to the cloud poses several challenges. Datometry CEO Mike Waas explains how to make the move smoother.