Online Hadoop Training in Slovakia

This instructor-led, live training in Slovakia (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. During this three-day course (with an optional fourth day), participants will gain insight into the business advantages and practical use cases of Hadoop and its ecosystem. They will learn how to plan for cluster deployment and future expansion, as well as how to install, maintain, monitor, troubleshoot, and optimize Hadoop environments. Additionally, attendees will practice bulk data loading, explore various Hadoop distributions, and hands-on manage Hadoop ecosystem tools. The course concludes with a discussion on securing clusters using Kerberos.

“The materials were exceptionally well-prepared and thoroughly covered. The laboratory sessions were extremely helpful and clearly organized.”
— Andrew Nguyen, Principal Integration DW Engineer, Microsoft Online Advertising

Audience

Hadoop administrators

Format

A blend of lectures and hands-on labs, with an approximate balance of 60% lectures and 40% labs.

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

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

Upon completing this training, participants will be able to:

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

Course Format

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

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

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