Cloudera Educational Services

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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

  Overview The significant improvements in CDP architecture and tools makes CDP “Secure by Design.” The Cloudera Data Platform is intended to meet the most demanding technical audit standards. This four-day hands-on course is presented as a project plan for CDP administrators to achieve technical audit standards. The first project stage is implementing Perimeter Security by installing host level security and Kerberos. The second project stage protects Data by implementing Transport Layer Security using Auto-TLS and data encryption using Key Management System and Key Trustee Server (KMS/KTS). The third project stage controls Access for users and to data using Ranger and Atlas. The fourth stage teaches Visibility practices for auditing systems, users, and data usage. This project stage also analyzes applications in terms of vulnerabilities and introduces CDP practices for Risk Management in a fully secured Cloudera Data Platform. This course is 60% exercise and 40% lecture.    Download full course description Who should take this course? This immersion course is intended for Linux Administrators who are taking up roles as CDP Administrators. We recommend a minimum of 3 to 5 years of system administration experience in industry. Students must have proficiency in Linux CLI. Knowledge of Directory Services, Transport Layer Security, Kerberos, and SQL select statements is helpful. Prior experience with Cloudera products is expected, experience with CDH or HDP is sufficient. Students must have access to the Internet to reach Amazon Web Services.   DATE: 16th-19th July 2024 Virtual Classroom, AMER 9:00 - 17:00 EST Read more

Overview The significant improvements in CDP architecture and tools makes CDP “Secure by Design.” The Cloudera Data Platform is intended to meet the most demanding technical audit standards. This four-day hands-on course is presented as a project plan for CDP administrators to achieve technical audit standards. The first project stage is implementing Perimeter Security by installing host level security and Kerberos. The second project stage protects Data by implementing Transport Layer Security using Auto-TLS and data encryption using Key Management System and Key Trustee Server (KMS/KTS). The third project stage controls Access for users and to data using Ranger and Atlas. The fourth stage teaches Visibility practices for auditing systems, users, and data usage. This project stage also analyzes applications in terms of vulnerabilities and introduces CDP practices for Risk Management in a fully secured Cloudera Data Platform. This course is 60% exercise and 40% lecture.    Download full course description Who should take this course? This immersion course is intended for Linux Administrators who are taking up roles as CDP Administrators. We recommend a minimum of 3 to 5 years of system administration experience in industry. Students must have proficiency in Linux CLI. Knowledge of Directory Services, Transport Layer Security, Kerberos, and SQL select statements is helpful. Prior experience with Cloudera products is expected, experience with CDH or HDP is sufficient. Students must have access to the Internet to reach Amazon Web Services.   DATE: 11th-15th June 2024 Virtual Classroom, EMEA 9:00 - 17:00 EST Read more

Overview 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. Download full course description What You'll Learn Students who successfully complete this course will be able to: Understand Apache Spark’s architecture, job execution, and how techniques such as lazy execution and pipelining can improve runtime performance Evaluate the performance characteristics of core data structures such as RDD and DataFrames Select the file formats that will provide the best performance for your application Identify and resolve performance problems caused by data skew Use partitioning, bucketing, and join optimizations to improve SparkSQL performance Understand the performance overhead of Python-based RDDs, DataFrames, and user-defined functions Take advantage of caching for better application performance Understand how the Catalyst and Tungsten optimizers work Understand how Workload XM can help troubleshoot and proactively monitor Spark applications performance Learn about the new features in Spark 3.0 and specifically how the Adaptive Query Execution engine improves performance What to Expect This course is designed for software developers, engineers, and data scientists who have experience developing Spark applications and want to learn how to improve the performance of their code. This is not an introduction to Spark. Spark examples and hands-on exercises are presented in Python and the ability to program in this language is required. Basic familiarity with the Linux command line is assumed. Basic knowledge of SQL is helpful.   Read more

This four-day course teaches the architecture, deployment, configuration, and running of CDP Data Services on Embedded Containerized Services (ECS). CDP Data Services are state-of-the-art low code computing fusing together the entire data lifecycle into a single set of tools, reducing the costs of developing Use Cases while accelerating development and deployment. The course begins with practices recommended for managing Docker images and containers resulting in the building of a Docker private registry. The Docker private registry is used to deploy the Data Services cluster on ECS. Students will learn to install, configure, and validate Cloudera Data Engineering, Cloudera Data Warehouse, and Cloudera Machine Learning. Exercises focus on learning Kubernetes, installing Private Cloud Embedded Container Service (ECS), and deploying Cloudera Data Services. The course includes requirements for networking and hardware, and explanations of Kubernetes pods dynamically scaling to support CDP Data Services. Download full course description Who should take this course? This immersion course is intended for CDP Administrators who are advancing into CDP Data Services running in a private cloud environment. We recommend a minimum of 3 to 5 years of system administration experience in industry. Students must have proficiency in Linux Command Line Interface, knowledge of Identity Management, Transport Layer Security, and Kerberos. Experience with SQL select statements is helpful. Prior experience with Cloudera products is expected, experience with CDP, CDH, or HDP is sufficient. Students must have access to the Internet to reach Amazon Web Services. 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

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