Cloudera Educational Services

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Note: Enrolling here will not give you access to the actual course. The course is available by purchasing the Full OnDemand Library subscription.  About This Course This course delivers the key concepts and expertise developers need to use Apache Spark to develop high-performance parallel applications. Participants will learn how to use Spark SQL to query structured data and Spark Streaming to perform real-time processing on streaming data from a variety of sources. Developers will also practice writing applications that use core Spark to perform ETL processing and iterative algorithms. The course covers how to work with “big data” stored in a distributed file system, and execute Spark applications on a Hadoop cluster. After taking this course, participants will be prepared to face real-world challenges and build applications to execute faster decisions, better decisions, and interactive analysis, applied to a wide variety of use cases, architectures, and industries. Course Length This course includes over 5 hours of video content. Hands-on exercises may take up to 10 hours to complete. Audience and Prerequisites This course is designed for developers and engineers who have programming experience, but prior knowledge of Spark and Hadoop is not required. Apache Spark examples and hands-on exercises are presented in Scala and Python. The ability to program in one of those languages is required. Basic familiarity with the Linux command line is assumed. Basic knowledge of SQL is helpful. Note: Enrolling here will not give you access to the actual course. The course is available by purchasing the Full OnDemand Library subscription.  Read More

Note: Enrolling here will not give you access to the actual course. The course is available by purchasing the Full OnDemand Library subscription.  About This Module This module provides guidance in using Java to create applications for Apache Kafka. For more about Kafka, see Streaming Processing, Management, and Analytics with CDF. This module is included as part of that learning path.  Course Length This module includes 1 hour of video content. Hands-on exercises will take approximately 1.5 hours.  Audience and Prerequisites This module is designed for Data Engineers, Administrators, and others who want to understand stream processing administration, configuration, and applications within CDF.  Though programming experience is not required, code samples are provided in Java, and basic experience with Linux is presumed. Exposure to big data concepts and applications is helpful. Note: Enrolling here will not give you access to the actual course. The course is available by purchasing the Full OnDemand Library subscription.  Read More

Cloudera's four-day administrator training course for CDP Private Cloud Base provides participants with a comprehensive understanding of all the steps necessary to operate and maintain on-premises clusters using Cloudera Manager. From installation and configuration through load balancing and tuning, this Cloudera training course is the best preparation for the real-world challenges faced by administrators who run CDP Private Cloud Base. December 13th - 16th, 2022 Virtual Classroom, APAC 9:00 - 17:00 (CST) Read More

Cloudera's four-day administrator training course for CDP Private Cloud Base provides participants with a comprehensive understanding of all the steps necessary to operate and maintain on-premises clusters using Cloudera Manager. From installation and configuration through load balancing and tuning, this Cloudera training course is the best preparation for the real-world challenges faced by administrators who run CDP Private Cloud Base. January 10th - 13th, 2023 Virtual Classroom, APAC 9:00 - 17:00 (JST) 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. December 7th - 9th, 2022 Virtual Classroom, EMEA 9:00 - 17:00 (CET) Read More

This four-day hands-on course for Cloudera Data Platform (CDP) administrators teaches the skills and practices needed to configure solutions that meet the most demanding technical security audit standards. The course is built around a recommended project plan for CDP administrators. The first project stage is implementation of Perimeter Security by installing host level security and Kerberos. The second project stage protects data by implementing Transport Layer Security via Auto-TLS and data encryption using Key Management System and Key Trustee Server (KMS/KTS). The third project stage controls access for users and data using Ranger and Atlas. The fourth stage teaches visibility practices for auditing of systems, users, and data usage. The final project stage analyzes applications in terms of vulnerabilities and introduces CDP practices for risk management in a fully secured Cloudera Data Platform. This course is primarily hands-on, consisting of 70% lab exercise and 30% lecture. [DATE: Month START - END, YEAR] Virtual Classroom, [APAC, EMEA, AMER] 9:00 - 17:00 (TIMEZONE) Read More

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