Cloudera Educational Services

This four-day course teaches the architecture, deployment, and configuration of Cloudera Data Services on Embedded Containerized Services (ECS). Cloudera Data Services provide a state-of-the-art, low- code platform that unifies the entire data lifecycle, reducing development costs and accelerating the development and deployment of use cases.   The course starts by covering best practices for managing Docker images and containers. Students will then build a Docker private registry. This Docker private registry will be used to deploy a Data Services cluster on ECS. Students will install, configure, and validate Cloudera Data Engineering, Cloudera Data Warehouse, and Cloudera Machine Learning. Through hands-on exercises, students will gain experience with Kubernetes, install a Private Cloud Embedded Container Service (ECS), and deploy Cloudera Data Services. Additionally, the course covers networking and hardware requirements and explains how Kubernetes pods dynamically scale to support Cloudera Data Services. Who should take this course This immersive course is designed for Cloudera Administrators transitioning to managing Cloudera Data Services on premises. Students should have at least 3 to 5 years of system administration experience. Students must have proficiency in the Linux Command Line Interface and knowledge of Identity Management, including Transport Layer Security and Kerberos. Familiarity with SQL select statements is recommended. Prior experience with Cloudera products is required. Students need reliable internet access to connect to the Amazon Web Services environment used in this course. Recommended prerequisite courses • ADMIN-230: Administering Cloudera on premises • ADMIN-332: Securing Cloudera on premises     September 15-18, 2025 Virtual Classroom, EMEA 9:00 - 17:00 (GMT+2 TIMEZONE) Read more

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. September 8-11, 2025 Virtual Classroom, EMEA 9:00 - 17:00 (GMT+2 TIMEZONE) Read more

DESCRIPTION October 13-16, 2025 Virtual Classroom, EMEA 9:00 - 17:00 (GMT+2 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.   November 3-6, 2025 Virtual Classroom, EMEA 9:00 - 17:00 (GMT+2 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.   September 2-5, 2025 Virtual Classroom, EMEA 9:00 - 17:00 (GMT+2 TIMEZONE) Read more

Recovery Assistance Cloudera’s Recovery Assistance offering is available to help customers with time-sensitive Non-Break Fix (NBF) issues specifically targeting production down, environment-specific NBFs. Customer’s purchase, and Cloudera (Government Solutions) Inc.’s (CGSI) performance, of Recovery Assistance is governed by the terms and conditions of the existing Enterprise Subscription Master Agreement between CGSI and Customer, or between Customer and CGSI’s Authorized Partner, as applicable.  If no such agreement exists, the terms and conditions of the CGSI Enterprise Subscription Master Agreement at https://www.cloudera.com/legal/commercial-terms-and-conditions/cgsi-enterprise-subscription-master-agreement.html will apply. On a single incident per purchase basis, Cloudera will provide Recovery Assistance for an outage experienced by Customer in a Cloudera-based production system; provided that: (i) such production system was functioning properly prior to such incident; (ii) all Recovery Assistance is provided by Cloudera remotely and no personnel onboarding requirements are permitted; and (iii) Customer has submitted a Support Services ticket to Cloudera with respect to such incident and Cloudera Customer Support has determined the outage is due to one or more of the following items (which items are currently excluded from Cloudera’s Support Services under the Cloudera Support Policy): (a) the installation or removal of the Cloudera Products; (b) performance tuning; (c) information or assistance on technical issues related to the debugging, installation, administration, or use of Customer’s computer systems and enabling technologies including, but not limited to, databases, computer networks, communications, hardware, hard disks, networks, and printers; (d) Customer’s negligence or misuse of the Cloudera Products; and/or (e) any act or omission of Customer and/or any third party. Recovery Assistance is limited solely to the restoration of the Cloudera-based production system experiencing the outage. No new Cloudera Product functionality or documentation will be provided. The Recovery Assistance purchased hereunder must be used within 12 months of the Effective Date of purchase. Recovery Assistance not used within such 12 month period will expire and no refund will be given. In the event of any conflict between the terms of the Agreement and these terms, these terms will prevail, but only with respect to the Recovery Assistance described herein. Customer’s purchase of Recovery Assistance using a credit card indicates Customer’s acceptance of the terms and conditions provided above. Read more