Cloudera Educational Services

Welcome to our Introduction Series for Cloudera Education. The following contains excerpts from Admin:230 Administering Cloudera on premises, that is part of our full OnDemand Training Library.  The complete library is available for purchase. Upon completion you will see a path to continue your Cloudera training journey. Many courses include hands-on labs and the OnDemand library comes with 100 hands-on lab hours to practice the concepts and exercises taught. Please enjoy this section of your selected course to help you on your data journey. Disclaimer - The following descriptions and objectives are for the full course. Overview Lab environment is included with this course. Starting in lesson 04 you will be able to launch your environment. This 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. This course provides an in-depth explanation and skills to become highly productive with Cloudera Manager and the Cloudera platform. Cloudera Manager is a full featured and mature DevOps tool. It is used to install, configure, operate, troubleshoot, report, and upgrade Cloudera. Many Cloudera Administrators only use a fraction of the capabilities built into Cloudera Manager. This course teaches the architecture, deployment, configuration, logging, reporting, REST API, and much more. The course provides references for architecture and recommended practices used by enterprises around the globe. What to expect While this course is an entry point for aspiring Cloudera Administrators this course is detailed enough for more senior Cloudera Administrators to discover new functionality and capabilities. This course is intended for Linux Administrators who are taking up roles as Platform Administrators. We recommend a minimum of 2 years of system administration experience in industry. Students must have proficiency in Linux. Knowledge of Directory Services, Transport Layer Security, Kerberos, and SQL select statements is helpful. Students must have access to the Internet to reach Amazon Web Services. Read more

Welcome to our Introduction Series for Cloudera Education. The following contains excerpts from DSCI:272 - Predicting with MLOps on Cloudera AI, that is part of our full OnDemand Training Library. The complete library is available for purchase. Upon completion you will see a path to continue your Cloudera training journey. Many courses include hands-on labs and the OnDemand library comes with 100 hands-on lab hours to practice the concepts and exercises taught. Please enjoy this section of your selected course to help you on your data journey. Disclaimer - The following descriptions and objectives are for the full course.   Overview 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 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. ​ Course Length This course includes approximately 8.5 hours of video lectures and demonstrations.  You will need your own environment to work on the labs. The labs will take approximately 7 hours to complete.   What to expect The course is designed for data scientists who need to understand how to utilize Cloudera AI and the Cloudera platform to achieve faster model development and deliver production machine learning at scale. Data engineers, developers, and solution architects who collaborate with data scientists will also find this course valuable. Read more

About This Course In this video you will learn how Cloudera enables key hybrid capabilities like application portability, and data replication in order to quickly move workloads and data to the cloud. Let's explore how Cloudera excels at following hybrid use cases, through data pipeline replication and data pipeline migration exercises to the public cloud. Develop Once and Run Anywhere De-risk Cloud Migration This Course contains demonstrations showing how to add Private Base clusters as Classic Clusters and use Cloudera replication Manager to migrate HDFS data,Hive tables to the cloud Provider of your choice. This course includes 30 minutes of video content including demonstrations. Audience and Prerequisites This OnDemand course is suitable for Cloudera Administrators, data administrators, and data operators. Read more

About This Course This course is part of the Skillup series. Data mesh refers to a "paradigm shift," in which the data management challenge is seen from a business perspective and the different domains within the business. The mesh architecture provides a logical way for scaling data and information systems and driving efficiencies in both cost and value. Learn about the data mesh paradigm and how Cloudera's core features enable a scalable data mesh and the democratization of data, driving efficiencies in both cost and value.  Cloudera Field CTO Chris Royles and Partner Solution Engineer Salvador Almazan look closely at how Cloudera enables organizations to adopt a data mesh that is aligned with the key principles of the architecture. This course includes 45 minutes of video content including demonstrations. Audience and Prerequisites This OnDemand course is suitable for data administrators and data stewards.     Read more

About This Course This course is part of the Skillup series. As businesses look to scale-out storage, they need a storage layer that is performant, reliable, and scalable. With Apache Ozone on the Cloudera Data Platform, your customers can implement a scale-out model and build out their next generation storage architecture without sacrificing security, governance, and lineage. In part one of this course, you'll learn about the benefits of Apache Ozone, a high performance object store, and how, paired with Cloudera, it can drastically improve data storage performance. You'll then learn the key business and operational benefits of adopting Apache Ozone and how to migrate existing big data workloads to perform at scale. In the second part of this course, you'll learn about advanced details of Apache Ozone, its roadmap at Cloudera, and the migration of data from a file system to this Big Data Object Store. This course consists of 35 minutes of video content. Audience and Prerequisites This OnDemand course is suitable for data engineers, data administrators, and data operators. Read more

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