Cloudera Educational Services

This four-day instructor-led course begins by introducing Apache Kafka, explaining its key concepts and architecture, and discussing several common use cases. Building on this foundation, you will learn how to plan a Kafka deployment, and then gain hands-on experience by installing and configuring your own cloud-based, multi-node cluster running Kafka on the Cloudera Data Platform (CDP). You will then use this cluster during more than 20 hands-on exercises that follow, covering a range of essential skills, starting with how to create Kafka topics, producers, and consumers, then continuing through progressively more challenging aspects of Kafka operations and development, such as those related to scalability, reliability, and performance problems. Throughout the course, you will learn and use Cloudera’s recommended tools for working with Kafka, including Cloudera Manager, Schema Registry, Streams Messaging Manager, and Cruise Control. DATE: July 29 - August 1, 2025 Virtual Classroom, APAC 9:00 - 17:00 (Bangkok Timezone) 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: August 4-7, 2025 Virtual Classroom, AMER 9:00 - 17:00 (Central US TIMEZONE) Read more

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. DATE: November 17-20, 2025 Virtual Classroom, EMEA 9:00 - 17:00 (GMT+2 TIMEZONE) Read more

This training provides a comprehensive understanding of the steps required to configure, operate, and maintain Cloudera on cloud instances. This four-day instructor-led course covers everything from setup to configuring various data services to executing workloads on AWS, Azure, and GCP using Cloudera Management Console. The course covers configuration options using the web interface, as well as automation scenarios using Ansible. On the optimization side, it covers load balancing and tuning Cloudera on cloud instances. This course equips participants to effectively address the real-world challenges faced by administrators running Cloudera on cloud.   What You’ll Learn   Through instructor-led discussion and interactive, hands-on exercises, you will learn how to: • Evaluate and select the appropriate deployment option • Setup Cloudera using Cloudera Management Console • Setup and configure various data services • Configure and monitor instances using Cloudera Manager • Optimize cluster performance and security • Detect, troubleshoot, and repair problems with the cluster • Auto scale Data Hub clusters and Data Services     What to Expect This course is best suited to cloud systems administrators and operators who have at least basic Linux and AWS/Azure/GCP experience. Prior knowledge of Cloudera is not required, but helpful.   DATE: September 15-18, 2025 Virtual Classroom, EMEA 9:00 - 17:00 (GMT+2 TIMEZONE) 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: July 21-24, 2025 Virtual Classroom, AMER 9:00 - 17:00 (CST TIMEZONE) Read more

Cloudera is a fully integrated edge to AI product set. Cloudera Manager is purposely built as the DevOps tooling for building and managing the Cloudera platform. This four-day hands-on course presents detailed explanation, comprehensive theory, key skills, and recommended practices for successful platform administration. Upon completion of this course a Cloudera Administrator will learn the full range of functionality and capability of Cloudera Manager.   DATE: July 14-17, 2025 Virtual Classroom, AMER 9:00 - 17:00 (CST TIMEZONE) Read more