You’re invited to 2 Hours to Data Innovation with Cloudera Data Engineering on Wednesday, February 7th, 2024, from 9:00 am-11:00 am PT/11am-1pmCT/12pm-2 pm ET. In this hands-on lab, we will introduce you to the key capabilities and you will build an end-to-end Data Engineering pipelines on the Cloudera Data Platform (CDP).
CDP Data Engineering enables IT to deliver a cloud-native self-service Spark ecosystem. It allows you to create, manage, and schedule Apache Spark jobs without the overhead of creating and maintaining Spark clusters. With Cloudera Data Engineering, you define virtual clusters with a range of CPU and memory resources, and the cluster scales up and down as needed to run your Spark workloads, helping to control your cloud costs.
In this lab you will:
- Deploy an Ingestion, Transformation, and Reporting pipeline
- Learn about Iceberg's most popular features
- Orchestrate pipelines with Airflow
- Use the CDE CLI to execute Spark Submits and more
Cloudera
Senior Solutions Engineer
Pablo is a Senior Solutions Engineer with Cloudera with more than 4 years supporting customers from multiple regions like the Spanish-speaking Americas, Brasil (LATAM), and Canada. With experience at industry giants like Oracle, Pablo’s expertise spans data architecture, open-source software, and data governance. Pablo lives in Toronto and as the leader of our Data Engineering SME team, helps our customers achieve better outcomes with Cloudera’s Data Engineering solutions.
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