Hadoop Training in Turin

This instructor-led, live training in Turin (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. This intensive three-day course (with an optional fourth day) equips attendees with a deep understanding of the business value and practical use cases of Hadoop and its surrounding ecosystem. Participants will learn how to plan for cluster deployment and scalability, as well as master the installation, maintenance, monitoring, troubleshooting, and optimization of Hadoop systems. The curriculum includes hands-on practice with bulk data loading, exploration of various Hadoop distributions, and the management of ecosystem tools. The course concludes with an in-depth discussion on securing clusters using Kerberos.

\u201c\u2026The materials were exceptionally well-prepared and thoroughly covered. The lab sessions were very helpful and meticulously organized.\u201d
\u2014 Andrew Nguyen, Principal Integration DW Engineer, Microsoft Online Advertising

Audience

Professionals serving as Hadoop administrators.

Format

A blend of lectures and hands-on laboratories, maintaining an approximate split of 60% theoretical instruction and 40% practical labs.

Apache NiFi is an open-source platform designed for flow-based data integration and event processing. It facilitates the automated, real-time routing, transformation, and mediation of data between diverse systems, supported by a web-based interface that offers granular control.

This instructor-led live training, available both onsite and remotely, is tailored for intermediate-level administrators and engineers aiming to deploy, manage, secure, and optimize NiFi dataflows within production environments.

Upon completion of this training, participants will be equipped to:

• Install, configure, and maintain Apache NiFi clusters.
• Design and manage dataflows connecting various sources and sinks.
• Implement logic for flow automation, routing, and transformation.
• Optimize performance, monitor operations, and troubleshoot issues.

Format of the Course

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

Course Customization Options

• For information on arranging customized training for this course, please contact us.

In this instructor-led, live training in Turin, 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.