Business intelligence (BI) tools have been a shot in the arm of the enterprise. Teams can create their own visualizations and enjoy self-service analytics, without needing IT to compile reports or wrangle big data. But, of course, there’s a catch. BI tools expose data to a wider range of people, which means there are new issues of BI security (BISEC) and privacy to think about, especially in the age of GDPR. Here’s what you need to know.

Automation will fail to achieve most of its potential if treated as a specialty, single-function tool applied only to accelerate narrow parts of business processes. In most industries, financial services included, automation done properly is a journey that delivers a steady stream of benefits resulting from building a broader and increasingly powerful multilayered stack of automated processes and analytics.

Many people may know me as someone who aims to find a mathematical angle in almost everything. And they wouldn’t be wrong – on my journey to bring my passion for math to the masses, I’ve even shown the mathematical angle for finding love! Yes, really – feel free to read my book on it. So, if there’s just one thing that I want people to take away from my chat with Joe DosSantos on Data Brilliant, it’s that math and data really do touch every part of our lives.

Fully managed ELT allows data integration to be outsourced and automated, saving precious engineering time.

Make sure you don’t duplicate aggregated values when you join tables together.

Today’s telecom engineers are expected to handle, manage, optimize, monitor and troubleshoot multi-technology and multi-vendor networks, in a competitive and unforgiving market with minimal time to resolution and high costs for errors. With the ongoing growth in operational complexities, effectively managing radio networks, current and legacy core networks, services, and transport and IT operations is becoming a radical challenge.

When you’re working with personally identifiable information (PII), you may have to follow data privacy laws that govern how you must handle it. If the PII comes from an educational institution, that law is the Family Educational Rights and Privacy Act, also known as FERPA.

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. This year, we expanded our partnership with NVIDIA, enabling your data teams to dramatically speed up compute processes for data engineering and data science workloads with no code changes using RAPIDS AI.