Cloudera Educational Services

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About This Course In this video you will learn how Cloudera enables key hybrid capabilities like application portability, and data replication in order to quickly move workloads and data to the cloud. Let's explore how Cloudera Data Platform (CDP) excels at following hybrid use cases, through data pipeline replication and data pipeline migration exercises to the public cloud. Develop Once and Run Anywhere De-risk Cloud Migration This Course contains demonstrations showing how to add Private Base clusters as Classic Clusters and use CDP replication Manager to migrate HDFS data,Hive tables to the cloud Provider of your choice. This course includes 30 minutes of video content including demonstrations. Audience and Prerequisites This OnDemand course is suitable for CDP Administrators, data administrators, and data operators. Read more

About This Course This course is part of the Skillup series. As businesses look to scale-out storage, they need a storage layer that is performant, reliable, and scalable. With Apache Ozone on the Cloudera Data Platform (CDP), your customers can implement a scale-out model and build out their next generation storage architecture without sacrificing security, governance, and lineage. In part one of this course, you'll learn about the benefits of Apache Ozone, a high performance object store, and how, paired with CDP, it can drastically improve data storage performance. You'll then learn the key business and operational benefits of adopting Apache Ozone and how to migrate existing big data workloads to perform at scale. In the second part of this course, you'll learn about advanced details of Apache Ozone, its roadmap at Cloudera, and the migration of data from a file system to this Big Data Object Store. This course consists of 35 minutes of video content. Audience and Prerequisites This OnDemand course is suitable for data engineers, data administrators, and data operators. Read more

About This Course This course is part of the Skillup series. Learn how to use Debezium with Flink, Kafka, and NiFi for Change Data Capture using two different mechanisms: Kafka Connect and Flink SQL. With the virtual nature of today’s world, streaming data is more critical than ever. Join Cloudera Chief Data-In-Motion Principal, Tim Spann, and Partner Solution Engineer, Salvador Alamazan as they look closely at key CDC use cases, discuss why Debezium is the best option for handling CDC, and demonstrate example cases with CDC. This course includes 35 minutes of video content including demonstrations. Audience and Prerequisites This OnDemand course is suitable for data engineers, data administrators, and data operators.     Read more

About This Course This course is part of the Skillup series. Learn about the latest features of Cloudera Operational Database, a cloud-native Data Service for CDP.  Learn how to build real-time applications consuming data from Kafka and serving up to a web application. This content is a part of Cloudera Partner Network's bi-weekly technical enablement series, Skill Up.  Reach out to your Partner Manager for more details. Audience and Prerequisites This OnDemand course is suitable for administrators and developers Read more

About This Course This course is part of the Skillup series. This video demonstrates how to set-up a real-time data visualization solution. The demo includes real-time twitter feeds and utilizes NiFi, Hive and S3 to process and store the data. Trends are monitored using DataViz. Audience and Prerequisites This OnDemand course is suitable for data engineers and data analysts   Read more

About This Course This course is part of the Skillup series. The modern day data explosion has to be met with new solutions and Cloudera is excited to introduce the next generation table format for large scale analytic datasets within CDP.  This course includes 40 minutes of video content including demonstrations. Audience and Prerequisites This OnDemand course is suitable for data engineers, data analysts, developers, data scientists and administrators.     Read more

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