Cloudera Now, our premiere technology innovation event is designed for all data leaders and practitioners including data managers, data scientists, data engineers, and analytics professionals who want to learn about cutting-edge products and approaches to delivering business impact from your data. Through comprehensive demos, customer use cases, and interactive Q&A, attendees will gain new skills and knowledge to bring back to their organi...

Although many federal, state, and local officials emphasize the potential of artificial intelligence (AI) and machine learning (ML), only a fraction of government agencies have actually implemented this technology. Across sectors, agencies struggling with AI and ML is due to limited experience with the technology, silos of data, and limited amounts of pre-labeled training data. With Cloudera Applied Machine Learning Prototypes (AMPs), agencie...

Cloudera Now, our quarterly virtual event, is designed for all data practitioners including data scientists, data engineers, and analytics professionals who want to learn about our latest and greatest product innovations. Through comprehensive demos, customer use cases, and interactive Q&A, attendees will gain new skills and knowledge to bring back to their organizations. Join us and be among the first to get early access to products, code...

To thrive in a digital landscape of constantly evolving connected data sources and the massive volumes of IoT data created, manufacturers must turn information into insights without wasting time or sacrificing scalability. That’s why improving business performance means quickly ingesting, storing, managing, and processing data in real-time. For that, manufacturers need a flexible and scalable data and analytics platform, a platform that...

Driving faster value from data and analytics at lower cost and with greater flexibility—that’s a common goal for many organizations undertaking a digital transformation journey. Organizations today face a host of competing priorities, including how to: Continuously innovate and achieve faster outcomes, Optimize costs and maximize value, and Improve governance for reduced risk. How should you decide which data tools are best suited...

As data ages, it tends to become less valuable. The rate at which data ages depends upon the circumstances, but in most cases, fresh data is much more valuable than stale data. Transactional systems that update traditional databases via batch may miss a huge opportunity to capture more fine-grain detail that could create rich data streams. Learn how you can use Change Data Capture to continuously capture changes to the data that otherwise migh...

Using Applied ML Prototypes (AMPs) is like putting Lebron in the game. Data Scientists will shoot nothing but 3's. In this Meetup, we are putting our machine learning tooling to the test to predict the 2022 NBA champion. Jake Bengtson, technical product marketing lead for ML Lifecycle from Cloudera, will demonstrate how to repurpose the AMP Churn Modeling with scikit learn to create a web application that will predict this year’s NBA cha...

Organizations with very effective enterprise data strategies report more profits and better resiliency, according to Cloudera’s recent Enterprise Data Maturity research report. But there’s a catch: Less than half of enterprise respondents believe their data strategy is “very effective.” Almost all reported challenges in implementing their data strategies. Yet, for digital leaders, a set of clear best practices emerged....

In today’s data-driven economy, businesses can’t afford to have data-related issues. As the volume of data continues to amass, it’s increasingly important to construct and operationalize access to data for faster, more accurate insights. This is why solid data analytic pipelines are necessary. By leveraging best practices, expert recommendations, common use cases, and combined tools available on Cloudera Data Platform Private...

Cloudera DataFlow (CDF) is a scalable, real-time streaming analytics platform that ingests, curates, and analyzes data for key insights and immediate actionable intelligence. This workshop will cover how CDF addresses the key challenges enterprises face with data-in-motion including processing real-time data streaming at high volume and scale, tracking data provenance and lineage of streaming data, and managing and monitoring edge applications...