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.

When digital disruption first hit the finance and investment markets, it seemed to signal the death knell for the traditional banks and financial institutions. For a time, it looked as though the best-known brands were doomed to become utilities: only good for basic financial transactions, weighed down by legacy processes and technologies, and viewed as little more than digital dinosaurs.

84.51° is a wholly owned subsidiary of Kroger, the US retailing giant – the largest supermarket chain in America, and the fifth-largest retailer in the world. As an organization, 84.51° is a descendant of dunnhumby, analytics geniuses who revolutionized customer loyalty programs at Tesco in the UK decades ago.

Modern enterprises leverage over 400 data sources to stay ahead of the competition. The sheer volume and complexity of data operations raise several challenges for intrepid organizations: How to cut the complexity of data operations? Enterprises turn to data lineage for the answer. Data lineage is the process of recording and visualizing data assets as they flow along your system.

We use Fivetran ourselves for rapid access to rich, query-ready marketing data — the key to transformative insights.

When retailers invest in a culture of data, they gain the ability to quickly navigate shifting customer priorities.

Buy or build? Autodesk's VP of Data Platform and Insights Jesse Pedersen cut Autodesk’s data ingestion process from six months to six days: Here’s how.