article thumbnail

Accessing Kafka’s Real-Time Analytics Is Easier Than Ever

TIBCO - Connected Intelligence

More and more major companies are realizing the full value of having real-time data-driven analytics at their fingertips. Everything from temperature sensor tracking and machinery wear-and-tear to social media metrics and targeted online searches to fraud and forecast trends can be critical information to a successful modern business. .

article thumbnail

Once Upon a Time in the Land of Data

Cloudera

A common theme that was highlighted continuously was using “storytelling” to relay the value that data and analytics teams bring to the business. There were several approaches on potential metrics including: Value to the end client: simplicity, more value, speed of availability. Storytelling . Are you playing offense or defense?

Data 84
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Essential DevOps Principles for 2021

CircleCI

Before you start any improvement plan, get accurate metrics for where you’re currently at (i.e. CI/CD pipelines are a critical piece of your technology stack where your infrastructure has access to many different resources, from development and production environment to analytics keys and code signing credentials. Always measure.

DevOps 72
article thumbnail

Cloudera DataFlow’s key milestones and wins in 2020

Cloudera

As a matter of fact, these new challenges gave way to tremendous opportunities for businesses to optimize their key success metrics by leveraging technology. Click here for a quick overview video or download our eBook to get more details. We did this by organizing an event called “ Streaming analytics in the real world”.

article thumbnail

How to Operationalize Your Data Science with Model Ops

TIBCO - Connected Intelligence

Data scientists use languages like Python and R, as well as commercial applications, to create analytics pipelines. Besides the metadata associated with model artifacts, the management platform and the repository should track accuracy metrics as well as dependencies between models and data sets. Deploy/Integrate.

Data 72
article thumbnail

Upskilling And Reskilling: Ready To Future-Proof Your Workforce?

Hacker Earth Developers Blog

To overcome this challenge, IBM decided to launch a program called the Skills Initiative that aimed to train and retrain IBM employees in high-demand skills, such as cloud computing, data analytics, and cybersecurity. For example, offering eLearning assets to employees every quarter, such as an eBook relevant to their expertise.

article thumbnail

CDM 2020: “Operationalizing CDM” Through Risk-Based Vulnerability Management

Tenable

AWARE then assigns scores for the above three categories of vulnerability based on four metrics: Base – The base CVSS (Common Vulnerability Scoring System) value, scaled to prioritize the worst problems first. Unauthorized Hardware (UAH) – Hardware devices not assigned to a Federal Information Security Modernization Act (FISMA) container.