Organizations that are trying to capture the value of their streaming data know that they need to transform that data into insights. Managing data in real time can be complex and expensive. SQL is an industry standard tool that gives business analysts the power to ask critical questions of your data without the need to hire additional specialized developers or translate business requirements into code.

The world is going to be hybrid and multi-cloud and we don't necessarily need more than that.

Discover how you can quickly leverage the no-code NiFi UI to design flows for processing expense receipts with AWS Textract AI and run them in a serverless environment with Cloudera DataFlow Functions on AWS Lambda.

Apache Iceberg has become the most popular, fastest-growing, and widely adopted open table format in the big data space. Hear from (and ask your questions to!) some of the key partners leading the Iceberg roadmap and enhancements. AGENDA: Apache Iceberg for BI use cases.

This video goes through the capabilities of the MiNiFi C++ agent for publishing its system and processor metrics to Prometheus. This can be used for active monitoring and alerting of your agents at scale.

Learn about the recent technical innovations from the Apache Ozone community. Bucket types and FSO improvements Speaker: Ethan Rose

For years, companies have viewed data the wrong way. They see it as the byproduct of a business interaction and this data often ends up collecting dust in centralized silos governed by data teams who lack the expertize to understand its true value. Cloudera is ushering in a new era of data architecture by allowing experts to organize and manage their own data at the source. Data mesh brings all your domains together so each team can benefit from each other’s data.

In this meetup, we’ll look at the different options for enriching your data using Apache NiFi. When and why would we prefer using NiFi for enrichment over a potentially more holistic solution, like Flink or Spark? What are the limitations? And how can we get the best of both worlds, performing data enrichment with NiFi when it makes sense and using our CEP engine when that makes the most sense? Join John Kuchmek and Mark Payne to find out!

Paul Codding introduces Cloudera's Applied ML Prototypes to accelerate machine learning applications in business.

In this demo, we have shown how an analyst who knows only SQL can work independently to create sophisticated data transformation pipelines without the need for any engineering. Our CDP deployment simplifies all aspects of the software development lifecycle of dbt models.