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.  Hands-on exercises allow students to practice writing Spark applications that integrate with Cloudera Data Platform 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 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. DATE: November 9-12, 2026 9:00 - 17:00 (GMT+1 TIMEZONE) Virtual Classroom, EMEA Read more

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This course introduces Apache Iceberg, a high-performance open table format for organizing petabyte-scale analytic datasets on a file system or object store, available on Cloudera Data Warehouse and Cloudera Data Engineering on both Private and Public Cloud. Combined with Cloudera Data Platform, Iceberg can enable users to build an open data lakehouse architecture for multi-function analytics and to deploy large-scale end-to-end pipelines. This course covers various aspects of Apache Iceberg, such as benefits, architecture, internal operation, read and write operations, and advanced functions, all while drawing comparisons to Hive and building on the students’ existing knowledge and experience. DATE: January 12-15, 2027 9:30 - 17:30 (SGT TIMEZONE, GMT+8) Virtual Classroom, APAC Read more

Overview The Cloudera platform is intended to meet the most demanding technical audit standards. The significant improvements in Cloudera architecture and components make Cloudera “Secure by Design.” This four-day hands-on course is presented as a project plan for Cloudera administrators to build fully secured Cloudera clusters.   The course begins with implementing Perimeter Security by installing host level security and Kerberos. Next, students protect Data by implementing Transport Layer Security using Auto-TLS and data encryption using Key Management System and Key Trustee Server (KMS/KTS). Following this, in the third stage, students control access for users and to data using Apache Ranger and Apache Atlas. The fourth stage focuses on visibility practices, teaching students how to audit systems, users, and data usage. Finally, the course introduces Cloudera practices for Risk Management in a fully secured Cloudera platform. This course is 60% exercise and 40% lecture.   Who should take this course? This immersion course is designed for Linux Administrators transitioning to Cloudera Administrator roles. Students must have proficiency in Linux (e.g., navigating the file system, using basic commands) and Linux text editors (e.g., vi, nano). Familiarity with Directory Services, Transport Layer Security, Kerberos, and SQL select statements is recommended. Prior experience with Cloudera products is required. Students must have reliable internet access to connect to the classroom environments hosted on Amazon Web Services.   DATE: November 16-19, 2026 9:00 - 17:00 (CET TIMEZONE) Virtual Classroom, EMEA Read more

This four-day Analyzing with Data Warehouse course will teach you to apply traditional data analytics and business intelligence skills to big data. This course presents the tools data professionals need to access, manipulate, transform, and analyze complex data sets using SQL and familiar scripting languages. Download full course description What you'll learn Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the ecosystem, learning how to: Use Apache Hive and Apache Impala to access data through queries Identify distinctions between Hive and Impala, such as differences in syntax, data formats, and supported features Write and execute queries that use functions, aggregate functions, and subqueries Use joins and unions to combine datasets Create, modify, and delete tables, views, and databases Load data into tables and store query results Select file formats and develop partitioning schemes for better performance Use analytic and windowing functions to gain insight into their data Store and query complex or nested data structures Process and analyze semi-structured and unstructured data Optimize and extend the capabilities of Hive and Impala Determine whether Hive, Impala, an RDBMS, or a mix of these is the best choice for a given task Utilize the benefits of CDP Public Cloud Data Warehouse   What to expect This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Some knowledge of SQL is assumed, as is basic Linux command-line familiarity.   DATE: November 23-26, 2026 9:00 - 17:00 (CET TIMEZONE) Virtual Classroom, EMEA Read more

Overview This five-day course provides the in-depth explanation and skills to become highly productive with Kubernetes by teaching its architecture, deployment, configuration, logging, reporting, and more. Kubernetes's complexity is due to its extensive feature set and intricate object model, which includes concepts like Pods, Deployments, and Services. It also relies on YAML configuration files and requires managing a distributed system across multiple nodes. The course provides references for architecture and recommended practices used by administrators. Download full course description   What you'll learn Understand the architecture of Kubernetes and its components. Deploy and manage applications on Kubernetes. Utilize Kubernetes features for scaling and self-healing. Implement best practices for security and networking. Troubleshoot common issues in Kubernetes environment   Who Should Take This Course? This course is an immersive training for a full range of Kubernetes users, from administrators to DevOps to developers. This course is intended for senior technicians with strong skills in Linux and application lifecycle. Students must have proficiency in Linux CLI. Students must have access to high-speed Internet to download various public Git repositories. The classroom environment is a four-node cluster running on Linux.   DATE: December 14-18, 2026 - Korean 9:30 - 17:30 (Seoul TIMEZONE) Onsite Classroom, APAC Read more