Hadoop Training in Lyon

This instructor-led, live training in Lyon (online or onsite) is aimed at developers who wish to use and integrate Spark, Hadoop, and Python to process, analyze, and transform large and complex data sets.

By the end of this training, participants will be able to:

• Set up the necessary environment to start processing big data with Spark, Hadoop, and Python.
• Understand the features, core components, and architecture of Spark and Hadoop.
• Learn how to integrate Spark, Hadoop, and Python for big data processing.
• Explore the tools in the Spark ecosystem (Spark MLlib, Spark Streaming, Kafka, Sqoop, Kafka, and Flume).
• Build collaborative filtering recommendation systems similar to Netflix, YouTube, Amazon, Spotify, and Google.
• Use Apache Mahout to scale machine learning algorithms.

Apache Hadoop stands as the leading framework for processing Big Data across server clusters. In this comprehensive three-day (or optional four-day) course, participants will explore the business advantages and practical applications of Hadoop and its broader ecosystem. The curriculum covers cluster deployment planning, scalability strategies, as well as installation, maintenance, monitoring, troubleshooting, and optimization techniques. Attendees will engage in hands-on practice with bulk data loading, become acquainted with various Hadoop distributions, and learn to install and manage key Hadoop ecosystem tools. The course concludes with an in-depth discussion on securing clusters using Kerberos.

“…The materials were exceptionally well-prepared and thoroughly covered. The labs were very helpful and well-organized”
— Andrew Nguyen, Principal Integration DW Engineer, Microsoft Online Advertising

Audience

Professionals serving as Hadoop administrators.

Format

The course combines lectures with hands-on labs, maintaining an approximate balance of 60% lectures and 40% lab exercises.

Apache NiFi is an open-source platform designed for flow-based data integration and event processing. It facilitates automated, real-time data routing, transformation, and system mediation between disparate systems, featuring a web-based user interface and fine-grained control capabilities.

This instructor-led live training, available either onsite or remotely, is designed for intermediate-level administrators and engineers who aim to deploy, manage, secure, and optimize NiFi dataflows within production environments.

Upon completing this training, participants will be equipped to:

• Install, configure, and maintain Apache NiFi clusters.
• Design and manage dataflows originating from diverse sources and targets.
• Implement automation, routing, and transformation logic for data flows.
• Optimize performance, monitor operational health, and resolve issues.

Format of the Course also allows for the evaluation of participants.

• Interactive lectures combined with discussions on real-world architectures.
• Hands-on labs focused on building, deploying, and managing data flows.
• Scenario-based exercises conducted in a live laboratory environment.

Course Customization Options

• To request a customized training session for this course, please contact us to arrange it.

In this instructor-led, live training in Lyon, participants will learn the fundamentals of flow-based programming as they develop a number of demo extensions, components and processors using Apache NiFi.

By the end of this training, participants will be able to:

• Understand NiFi's architecture and dataflow concepts.
• Develop extensions using NiFi and third-party APIs.
• Custom develop their own Apache Nifi processor.
• Ingest and process real-time data from disparate and uncommon file formats and data sources.