Cloudera Educational Services

Designing Edge to AI Applications is a 4-day learning event that addresses advanced big data architecture topics for building edge to AI applications to cover streaming, operational data processing, analytics, and machine learning.  The workshop brings together technical contributors into a group setting to design and architect solutions to a challenging business problem. The workshop addresses big data architecture problems in general, and then applies them to the design of a challenging system. Throughout the highly interactive workshop, participants apply concepts to real-world examples resulting in detailed synergistic discussions. The workshop is conducive for participants to learn techniques for architecting big data systems, not only from Cloudera’s experience but also from the experiences of fellow participants.  More specifically, this workshop addresses advanced big data architecture topics, including, data formats, transformation, transactions, real-time, batch and machine learning processing, scalability, fault tolerance, security, and privacy, minimizing the risk of an unsound architecture and technology selection. What you'll learn Cloudera Data Platform Big Data Architecture Building Scalable applications Building Fault Tolerant Solutions Security and Privacy Deployment on Public, Private, and Hybrid Cloud What to expect Participants should mainly be architects, developer team leads, big data developers, data engineers, senior analysts, dev ops admins and machine learning developers who are working on big data or streaming applications and have an interest in how to design and develop such applications on CDP. To gain the most from the workshop, participants should have working knowledge of popular Big Data and streaming technologies such as HDFS, Spark, Kafka, Hive/Impala, Data Formats, and relational database management systems. Detailed API level knowledge is not needed, as there will not be any programming activities and instead the focus will be on architecture design. The workshop will be divided into small groups to discuss the problems, develop solutions, and present their solutions. November 24-27, 2025 Virtual Classroom, EMEA 9:00 - 17:00 (CET time zone) Read more

DESCRIPTION January 19-22, 2026 Virtual Classroom, EMEA 9:00 - 17:00 (CET time zone) Read more

  About This Training This 1-day course by Cloudera Education introduces Cloudera Observability, a service designed to help you interactively understand your environment, data services, workloads, clusters, and resources. Its wide range of metrics and health tests empowers you to identify and troubleshoot both existing and potential problems. Cloudera Observability also provides prescriptive guidance and recommendations, enabling you to quickly address issues and optimize solutions. After a workload is completed, the Cloudera Manager Management Service's Telemetry Publisher collects diagnostic information about the job or query and the processing cluster, sending it to Cloudera Observability for analysis. Download full course description  What Skills You Will Gain Participants will develop the following skills: Comprehend the benefits of Cloudera Observability. Configure Cloudera Observability for CDP Public Cloud. Understand Cloudera Observability deployment architecture for both CDP Public and Private Cloud environments. Determine system requirements for workload clusters. Install Cloudera Observability. Classify workloads for analysis using Workload Views. Manage user access to workloads. Configure cost center criteria within Cloudera Observability. Set up action alerts for jobs and queries using Auto Actions. Utilize Cloudera Observability Metastore Analytics. Troubleshoot effectively with Cloudera Observability. What to Expect This course is ideal for new and existing Cloudera Private or Public Cloud users seeking to leverage the benefits of Cloudera Observability. The course is particularly valuable for platform administrators, data practitioners, budget owners/controllers, and solutions architects. A general knowledge of monitoring concepts is helpful.   Course Details Introduction What is Cloudera Observability Cloudera Observability Capabilities Cloudera Observability Tech Cloudera Observability Online Cloudera Observability Air-Gapped Strategic Features Observability Essential Adoption Configuration Tasks for CDP Public Cloud Deployment Architecture for CDP Private Cloud Security Considerations System Requirements Network Port Requirements Configuring Telemetry Publisher Redacting Data Adding a Proxy Server Observability Installation Managing Workloads and Users (Self-Service Analytics) Auto-Generating Workload Views Manually Generating Workload Views Managing User Access to Workloads Observability Access Roles Exercise: Creating Workload Views Exercise: Assigning Access Roles in Cloudera Observability Working with Alerts, Costs, & Reports (Financial Governance) Analyzing Environment Costs with Cloudera Observability Triggering Action Alerts Across Jobs and Queries – Auto Actions Working with Cluster Reports Exercise: Configuring Cloudera Observability Cost Center Criteria Exercise: Creating a Cloudera Observability Cost Center Exercise: Displaying Costs Associated with a Cost Center Exercise: Creating an Auto Action Event Understanding, Identifying, & Addressing Problems with Cloudera Observability (Service Health Monitoring) Analyzing Tables with Cloudera Observability Metastore Analytics Validations in Cloudera Observability Analyzing Hive Queries Exercise: Analyzing Hive Queries Exercise: Analyzing Impala Queries Troubleshooting (Expedited Issue Resolution) Troubleshooting Abnormal Job Durations Troubleshooting Job Durations: Task Duration Troubleshooting Failed Jobs Troubleshooting with the Job Comparison Feature Exercise: Analyzing Spark Jobs Exercise: Analyzing MapReduce Jobs     January 26, 2025 Virtual Classroom, EMEA 9:00 - 17:00 (CET time zone) Read more

One of the most critical functions of a data-driven enterprise is the ability to manage ingest and data flow across complex ecosystems.  Does your team have the tools and skill sets to succeed at this? Apache NiFi and this four-day course provides the fundamental concepts and experience necessary to automate the ingress, flow, transformation, and egress of data using NiFi. The course also covers tuning, troubleshooting, and monitoring the dataflow process as well as how to integrate a dataflow within the Cloudera CDP Hybrid ecosystem and external systems. Download full course description  What you'll learn During this course, you learn how to:  Define, configure, organize, and manage dataflows  Transform and trace data as it flows to its destination  Track changes to dataflows with NiFi Registry  Use the NiFi Expression Language to control dataflows  Optimize dataflows for better performance and maintainability Connect dataflows with other systems, such as Apache Kafka, Apache Hive, and HDFS Utilize the Data Flow Service What to expect This course is designed for developers, data engineers, administrators, and others with an interest in learning NiFi’s innovative no-code, graphical approach to data ingest. Although programming experience is not required, basic experience with Linux is presumed, and previous exposure to big data concepts and applications is helpful. December 1-4, 2025 Virtual Classroom, EMEA 9:00 - 17:00 (CET time zone) 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: January 12-15, 2025 Virtual Classroom, EMEA 9:00 - 17:00 (CET 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: December 8-11, 2025 Virtual Classroom, EMEA 9:00 - 17:00 (CET TIMEZONE) Read more