[MLOPS] From experiment management to model serving and back. A complete usecase, step-by-step!

Jul 19, 2022 By ClearML In ClearML
The recording of our talk at the MLOps World summit. This talk covers a complete example, starting from experiment management and data versioning, building up into a pipeline and finally deploying using ClearML serving with drift monitoring. We then induce artifical drift to trigger the monitoring alerts and go back down the chain to quickly retrain a model and deploy it using canary deployment.
View Video
cloudera

Fraud Detection With Cloudera Stream Processing Part 2: Real-Time Streaming Analytics

Jul 18, 2022 By André Araújo In Cloudera

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion.

Read Post
integrate

What Is a Data Pipeline and Why Your Ecommerce Business Needs One

Jul 18, 2022 By Hannon Brett In Integrate
Our six key points on data pipelines include: Whether you’re a one-person show reselling items on an online marketplace or a large Ecommerce enterprise with hundreds of employees, these businesses share a common factor: both generate data. The size of your business can influence the amount of data you generate, sure. But any amount of data — if it’s not adequately accessible — is worthless. Every business, especially an Ecommerce business, needs a data pipeline.
Read Post
unravel

Kafka best practices: Monitoring and optimizing the performance of Kafka applications

Jul 18, 2022 By Chris Santiago In Unravel

Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Administrators, developers, and data engineers who use Kafka clusters struggle to understand what is happening in their Kafka implementations.

Read Post

MLOps World Toronto: MLOps Beyond Training Simplifying and Automating the Operational Pipeline

Jul 17, 2022 By Iguazio In Iguazio
Most data science teams start with building AI models and only think about operationalization later. But taking a production-first approach and automating components is the key to generating measurable ROI for the business. In this talk, Iguazio’s co-founder and CTO, Yaron Haviv, explains how to simplify and automate your production pipeline to bring data science to production faster and more efficiently. He displays real live use cases while going through all the different steps in the process.
View Video

Demo - Exploiting a data fabric to drive data literacy and data democratisation

Jul 17, 2022 By Talend In Talend
Join Talend experts to learn how to drive data literacy and adoption throughout your organisation with a seamless data fabric. Discover how to balance collaboration, ease of use and governance to deliver trusted data insights and outcomes at the speed of the business.
View Video
Subscribe to Analytics

Copyright © 2026 OpsMatters™. All rights reserved.