Systems | Development | Analytics | API | Testing

What is the Impact of Using a Business Analytics Dashboard?

It's common knowledge today that business intelligence (BI) dashboards are powerful tools that can help you track and analyze your business performance, identify trends and patterns, and make better decisions based on data, not gut feeling. There several benefits to using a business intelligence dashboard, and it can have a big impact on your business.

Introducing Applied Machine Learning Prototypes

Applied Machine Learning Prototypes (AMPs) are open source projects that will fundamentally change the way data scientists build, deploy, and monitor ML models. These fully-developed prototypes are built around common industry use cases — like Churn Prediction Monitoring, Anomaly Detection, and more — and can be customized to give you significant head start. Available in Cloudera Machine Learning, AMPs are tested, trusted, and research backed by Fast Forward Labs.

Automate Your Report Process with Databox

Whether you’re creating reports for your clients or simply looking to improve your internal reporting process, manual reporting can be complicated and time-consuming. Copy and pasting the data you need from different tools into your own presentation takes time and leaves room for errors. Automating this process will not only save hours of work, it can improve the quality and cadence of your reports.

How to Use Apache Iceberg in CDP's Open Lakehouse

In June 2022, Cloudera announced the general availability of Apache Iceberg in the Cloudera Data Platform (CDP). Iceberg is a 100% open-table format, developed through the Apache Software Foundation, which helps users avoid vendor lock-in and implement an open lakehouse. The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse (CDW), Cloudera Data Engineering (CDE), and Cloudera Machine Learning (CML).

Performing Analytics on Call Center Data

Ask any executive if they know what’s going on in their call center, and they’ll assure you they are in control and they know what’s going on. (Executives are always in control and always know what is going on, or so they say.) Then ask the executive what’s actually taking place in the call center, and the executive will say, "We get 10,000 calls each day, and the calls last for 4 ½ minutes." Press the executive a little more: "What are your customers actually saying?

Monitoring in Edge Flow Manager | Observability with Grafana

This video explains Edge Flow Manager (EFM) integration with Prometheus and Grafana. After installing and configuring Prometheus to scrape, EFM should also be configured to expose metrics. When the time series are in place, Grafana is also installed and configured to visualize exposed metrics. There are some EFM specific Grafana dashboards that are publicly available that can be easily downloaded and imported to Grafana. When everything is configured correctly agent specific dashboards can be accessed from the EFM UI.