Upcoming Sessions
-
December
10
ILT - Apache Spark Application Performance Tuning Workshop - 3704807
Starting:2024/12/10 @ 08:00 AM (GMT+00:00) UTCEnding:2024/12/12 @ 04:00 PM (GMT+00:00) UTCType:Multi-day Session
See All Upcoming Sessions
About This Course Join Director, Product Management Tejnadh Reddy Paila for a full 1.5-hour session and demo on Cloudera's new Observability product to monitor and optimize Cloudera deployments across hybrid cloud. Read more
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
This three-day hands-on training course delivers the key concepts and expertise developers need to improve the performance of their Apache Spark applications. During the course, participants will learn how to identify common sources of poor performance in Spark applications, techniques for avoiding or solving them, and best practices for Spark application monitoring. Apache Spark Application Performance Tuning presents the architecture and concepts behind Apache Spark and underlying data platform, then builds on this foundational understanding by teaching students how to tune Spark application code. The course format emphasizes instructor-led demonstrations illustrate both performance issues and the techniques that address them, followed by hands-on exercises that give students an opportunity to practice what they've learned through an interactive notebook environment. The course applies to Spark 2.4, but also introduces the Spark 3.0 Adaptive Query Execution framework. Read more
DO NOT START THIS CERTIFICATION EXAM HERE! Once you have been enrolled, you will receive an email with additional instructions to schedule your exam. Read more
About This Course This course is part of the Skillup series. Data mesh refers to a "paradigm shift," in which the data management challenge is seen from a business perspective and the different domains within the business. The mesh architecture provides a logical way for scaling data and information systems and driving efficiencies in both cost and value. Learn about the data mesh paradigm and how Cloudera's core features enable a scalable data mesh and the democratization of data, driving efficiencies in both cost and value. Cloudera Field CTO Chris Royles and Partner Solution Engineer Salvador Almazan look closely at how CDP enables organizations to adopt a data mesh that is aligned with the key principles of the architecture. This course includes 45 minutes of video content including demonstrations. Audience and Prerequisites This OnDemand course is suitable for data administrators and data stewards. 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
Shopping Cart
Your cart is empty