Cloudera Educational Services

This four-day hands-on training course delivers the key concepts and knowledge developers need to use Apache Spark to develop high-performance, parallel applications on the Cloudera Data Platform (CDP).  Hands-on exercises allow students to practice writing Spark applications that integrate with CDP core components. Participants will learn how to use Spark SQL to query structured data, how to use Hive features to ingest and denormalize data, and how to work with “big data” stored in a distributed file system. 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. Download full course description  What you'll learn During this course, you will learn how to: Distribute, store, and process data in a CDP cluster Write, configure, and deploy Apache Spark applications Use the Spark interpreters and Spark applications to explore, process, and analyze distributed data Query data using Spark SQL, DataFrames, and Hive tables Deploy a Spark application on the Data Engineering Service What to expect This course is designed for developers and data engineers. All students are expected to have basic Linux experience, and basic proficiency with either Python or Scala programming languages. Basic knowledge of SQL is helpful.  Prior knowledge of Spark and Hadoop is not required. 1st - 4th Oct 2024 Virtual Classroom, EMEA 9:00 - 17:00 CST 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

  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

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

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