Systems | Development | Analytics | API | Testing

In this video we will go through all the differences between the C++ and Java MiNiFi agents. The video shows the differences observed on the Edge Flow Manager UI ranging from different information to the presence of buttons and dropdown elements determined by the agent type. Differences in feature set and functionality are also highlighted. The two implementations also have different footprints (memory and CPU) as well as a different set of available components. This video will help you determine the MiNiFi agent that best suits your use case.

Today, data isn't a cost center. It's a business driver. And Chief Data Officers are responsible for using data to create real results and transform their business. Meet Ray, the CDO at a high tech global electronics manufacturer. Ray relies on the Cloudera Data Platform to bring multiple data sources together, Ray's company can connect supply chain, go-to-market and product research data in one place, while lowering the cost on their network.

At Cloudera, we are committed to staying true to our open source roots and working well within the communities is critical to that. Since 2021, we have supported the growing Iceberg community with hundreds of contributions across Impala, Hive, Spark and Iceberg. We look forward to continuing the momentum as companies embrace the open lakehouse. General release now available in the Cloudera Data Platform.

This video is a 101 introduction about Edge Flow Manager (EFM), the Cloudera Edge Management (CEM) solution for managing and monitoring Apache MiNiFi agents at scale. The video goes through all the different views of the user interface to demonstrate and explain all of the features for designing flows, publishing flows to the agents, execute remote commands, monitoring the agents, etc.

If you’re new to the world of large-scale data analytics, this session is for you! We'll cover the basics of what problems Apache Spark can solve, why and when to use Spark, and how Spark enables efficient use of time and computing hardware. We’ll also demonstrate how easy it is to run a PySpark job in the public cloud using the Data Science Workbench and Cloudera Data Engineering Products.

TechCrunch and Cloudera invite you to a conversation about the data transformation underway that is changing how information is used and the very nature of business. The emerging data ecosystem will allow enterprises to work collaboratively with customers, partners and even competitors around the world to integrate disparate data sources for a more complete picture of their business’ present and future.

Hands-on demo for Cloudera Data Platform’s Universal Data Distribution (UDD) Service using CDF for the public cloud. This demo shows how to build ingest pipelines that move data from anywhere in the business to any other system, software, or workflow. In this particular demo we will show how the UDD service enables automation of ingest and data delivery across multiple public cloud providers into other analytic systems.

IT leaders need tactics to implement hybrid data strategies in their organizations. Chief Product Officer, Sudhir Menon, discusses the key to overcoming hybrid cloud migration roadblocks.

Cloudera’s Long Term Support (LTS) model is here, and in this video, Chief Product Officer Sudhir Menon gives us the run down. Cloudera LTS gives organizations confidence in moving to the next stable version of the Cloudera Data Platform, while maintaining security and performance. With the new LTS release model, Cloudera is committed to supporting our customers large and small—both on-prem and in the cloud—in the most secure, performant, and risk free way possible.

Organizations with data strategies in play for more than a year found that those strategies were more successful and more effective. Cindy Maike, VP of Industry Solutions and Value Management explains how kickstarting your data strategy now will help your business meet unforeseen challenges to the industry.