Cloudera Educational Services

Overview Apache NiFi 2.0 is revolutionizing data flow automation. This course provides in-depth knowledge of NiFi 2.0's enhanced capabilities, empowering you to build intelligent, efficient, and governed data pipelines for today's most demanding data challenges. You'll explore AI integration, advanced flow management features, and streamlined Python scripting, enabling you to create data solutions that are not only powerful but also adaptable and maintainable. Learn to build more intelligent and efficient NiFi workflows leveraging the new GenAI and Python processors along with the flow governance tools.   What you'll learn During this course, you learn how to:  Integrate Generative AI with Apache NiFi 2.0, including practical use cases.  Understand the key changes in NiFi 2.0 compared to NiFi 1.x, such as deprecated processors and their new replacements.  Clarify the differences between open-source NiFi 2.0 and Cloudera CFM4 with NiFi 2.0, with a focus on Cloudera-specific processors for GenAI.  Perform a migration from NiFi 1.x to NiFi 2.0 and effectively monitor your new NiFi 2.0 instance.  Who Should Take This Course? 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. Prerequisites Participants should have a foundational understanding of data flow concepts and experience with Apache NiFi. Familiarity with Python programming is beneficial but not mandatory.     DATE: May 10, 2027 9:00 - 17:00 (CEST TIMEZONE) Virtual Classroom, EMEA 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.   DATE: May 3-6, 2027 9:00 - 17:00 (CEST TIMEZONE) Virtual Classroom, EMEA 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: May 3-6, 2027 9:00 - 17:00 (CEST TIMEZONE) Virtual Classroom, EMEA Read more

This two-day instructor-led training course teaches students the development and operations skills needed to support Cloudera Streaming Analytics, a framework for low-latency processing and analytics powered by Apache Flink and Cloudera's innovative SQL Stream Builder. Through extensive hands-on exercises, students will gain experience deploying and managing a Flink cluster, developing and running Flink applications, and using SQL Stream Builder's continuous SQL to perform analytics on streaming data. DATE: April 26-27, 2027 9:00 - 17:00 (CET TIMEZONE) Virtual Classroom, EMEA 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.   DATE: April 26-29, 2027 9:00 - 17:00 (CET TIMEZONE) Virtual Classroom, EMEA Read more

Enterprise data science teams need collaborative access to business data, tools, and computing resources required to develop and deploy machine learning workflows. Cloudera AI, part of the Cloudera platform, provides the solution, giving data science teams the required resources. This four-day course covers machine learning workflows and operations using Cloudera AI. Participants explore, visualize, and analyze data. You will also train, evaluate, and deploy machine learning models. The course walks through an end-to-end data science and machine learning workflow based on realistic scenarios and datasets from a fictitious technology company. The demonstrations and exercises are conducted in Python (with PySpark) using Cloudera AI. Download full course description     DATE: April 19-22, 2027 9:00 - 17:00 (CET TIMEZONE) Virtual Classroom, EMEA Read more