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Latest Videos

Technology Spotlight - Tailored Support Designed for You

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.

The Best Time to Kickstart your Data Strategy is Now

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.

Commerzbank | Unleashing Hidden Data Treasures for Customers

Like many financial institutions, Commerzbank was challenged with staying flexible to meet customer needs, while also meeting regulatory compliance. In this Movers & Makers, Justyna Lebedyk, Product Owner in Big Data for Commerzbank, talks about how their digital transformation with the hybrid cloud and Cloudera allowed them to overcome this challenge.

Future of Data Meetup (2022): Using Apache Iceberg for Multi-Function Analytics in the Cloud

Iceberg is a high-performance table format intended for large-scale analytics that ensures easy accessibility of data stored in multiple file formats common in the Hadoop ecosystem for different use cases common in the lakehouse architecture. During this meetup, we’ll assume you’ve never heard of Apache Iceberg and explain the basics: what problems the Apache Iceberg project is addressing, how iceberg works, what features iceberg tables offer and how you can put Iceberg to use in your own data projects that utilize Hive, Spark, or Impala.

5 Success Stories That Show the Value of Enterprise Public Cloud

In our Five Enterprise Public Cloud Use Cases That Make a Difference eBook, we detail the successes a handful of Cloudera customers have had with CDP. You can download the eBook to get the whole story on each of the five customers and their successes, but in the meantime we want to give you an overview of these success use cases. Use case #1: A biopharmaceutical company doubles its R&D productivity

Rush University Medical Center | How real-time data helps the fight against COVID-19

As the COVID-19 pandemic swept the globe, Chicago-based Rush University Medical Center looked to data as a way to deal with the increasing volume of patients and to keep pace with fast and accurate diagnoses. Struggling against time and the data insights front line medical workers needed, Rush needed a solution that matched the speed and ferocity of the pandemic.

West Midlands Police Force | Faster Data, Safer Streets

The West Midlands Police force is one of the largest in the UK — and they serve a population of 2.8 million people, which generates a lot of data on a daily basis. See how they used Cloudera to make that data accessible and unified, which allowed West Midlands Police Force to better serve their community.

Why a Data Lakehouse alone is not the answer to modern analytics

Can the Lakehouse meet all your analytics needs or do you need a Data Lake and a Data Warehouse working in parallel? Join us on this live stream to learn when one works better than the other, or, do you really need the combination to win? Our speakers David, Justin, and Chris will debate the different use cases and architectures to determine what is necessary for a data-driven business.

CDP on Azure: Harnessing the Power of Data Flow and Event Processing

Data is being created at an ever increasing rate and generating insights through event streams has become a critical function for businesses. How can we process this data flowing in the enterprise, evaluate, enrich and transform it, all in real time to enable fast analytics to support intelligent decision making? Join us for this session where we will look at how we can use the elastic nature of Azure to scale Data Flows and perform SQL operations in realtime on streaming data from a variety of sources.