Cloudera Educational Services

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 Take your knowledge to the next level with Cloudera Training for Apache HBase. Cloudera Educational Services’ three-day training course enables participants to store and access massive quantities of multi-structured data and perform hundreds of thousands of operations per second. Download full course description Hands-on Hadoop Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning topics such as: The use cases and usage occasions for HBase, Hadoop, and RDBMS Using the HBase shell to directly manipulate HBase tables Designing optimal HBase schemas for efficient data storage and recovery How to connect to HBase using the Java API to insert and retrieve data in real time Best practices for identifying and resolving performance bottlenecks Audience and prerequisites This course is appropriate for developers and administrators who intend to use HBase. Prior experience with databases and data modeling is helpful, but not required. Knowledge of Java is assumed. Prior knowledge of Hadoop is not required, but Cloudera Developer Training for Spark and Hadoop provides an excellent foundation for this course.   DATE: October 7-9, 2026 9:30 - 17:30 (SGT TIMEZONE) Virtual Classroom, APAC 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

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: October 12-16, 2026 9:30 - 17:30 (Seoul TIMEZONE) Onsite Classroom, APAC Read more

Do NOT start this certification exam here. Please FOLLOW these steps to schedule your exam*:   1. Log in to Questionmark using your email address. 2. If this is your first time logging in, click the “Request new password” tab, enter your email address, and click “E-mail new password.” 3. Use the one-time link sent to your email to log in and set a new password. 4. Click the "My Assessments" tab at the top of the screen. 5. Click the calendar icon next to the exam to schedule your date and time.   *You will also receive these same instructions in a separate email, to schedule your exam in Questionmark. Read more