Cloudera Educational Services

About This Course This course is part of the Skillup series. Learn how to use Debezium with Flink, Kafka, and NiFi for Change Data Capture using two different mechanisms: Kafka Connect and Flink SQL. With the virtual nature of today’s world, streaming data is more critical than ever. Join Cloudera Chief Data-In-Motion Principal, Tim Spann, and Partner Solution Engineer, Salvador Alamazan as they look closely at key CDC use cases, discuss why Debezium is the best option for handling CDC, and demonstrate example cases with CDC. This course includes 35 minutes of video content including demonstrations. Audience and Prerequisites This OnDemand course is suitable for data engineers, data administrators, and data operators.     Read More

About This Course This course helps you understand the new frontier of Generative AI. Cloudera has several unique advantages that position us as the perfect partner to extract maximum value from Large Language Models (LLMs) with your own proprietary or regulated data, without the risk of exposing it. This course presents topics such as: How to use open source pre-trained LLM models to build a chatbot web application with your enterprise  data on Cloudera Machine Learning. Host open source generative AI applications Data Ownership and Accuracy Concerns  Course Length This course includes about an hour of video content. Audience and Prerequisites This course is designed for anyone who is interested in CML and AI. Read More

About This Course Whether new to or experiences with Cloudera, hear from Cloudera experts how CDP and Cloudera Data Services transform business.  See how Cloudera's hybrid data platform uniquely provides the building blocks to deploy all modern data architecture with data anywhere. Use Cloudera DataFlow (CDF) for the Public Cloud to connect to any data source, to process data, and deliver data to any destination through a cloud-native service powered by Apache NiFi. Learn to control data distribution while allowing flexibility to deliver data from and to anywhere. See how Cloudera Data Engineering (CDE) streamlines and operationalizes data pipelines at scale. Discover how to easily transform all data into meaningful business insights with Cloudera Data Warehouse (CDW). Learn how Cloudera Operational Database (COD) can be used to build real-time applications by consuming data from Kafka and serving it up to web applications. Discover the freedom on Cloudera Machine Learning (CML) to accelerate data-driven decision making from research to production with a secure, scalable, and open platform for ML. Enabling next-gen architecture with Apache Iceberg. Cloudera enables an open data lakehouse using multi-function analytics with Apache Iceberg's powerful table format. Course Length This course includes 7 hours of video content. Audience and Prerequisites Whether new to or experienced with Cloudera, this is an excellent opportunity to review the Cloudera Data Platform (CDP) from A to Z and hear from Cloudera experts on how CDP and Cloudera Data Services transform businesses.   Read More

About This Course This course is a preparation course for the CDP Generalist Exam (CDP-0011). The goal of this course is to help you determine if you are prepared to take the exam. Test taking strategies are covered as well as some sample questions. Course Length This module includes 1 hour of video content.  Audience and Prerequisites This course is designed for anyone who plans on taking the CDP Generalist Exam (CDP-0011) to validate their general CDP knowledge. Read More

This four-day hands-on training course teaches the key concepts and knowledge developers need to use Apache Spark in developing 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, such as Hive and Kafka. Participants will learn how to use Spark SQL to query structured data, use Spark Streaming to perform real-time processing on streaming data, and 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 that make fast and relevant decisions, implementing interactive analysis applied to a wide variety of use cases, architectures, and industries. [DATE: Month START - END, YEAR] Virtual Classroom, [APAC, EMEA, AMER] 9:00 - 17:00 (TIMEZONE) Read More

This four-day hands-on training course teaches the key concepts and knowledge developers need to use Apache Spark in developing 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, such as Hive and Kafka. Participants will learn how to use Spark SQL to query structured data, use Spark Streaming to perform real-time processing on streaming data, and 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 that make fast and relevant decisions, implementing interactive analysis applied to a wide variety of use cases, architectures, and industries. [DATE: Month START - END, YEAR] Virtual Classroom, [APAC, EMEA, AMER] 9:00 - 17:00 (TIMEZONE) Read More