Hadoop Training in Nepal

This instructor-led, live training in Nepal (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 most widely adopted framework for processing Big Data across server clusters. This course, spanning three days (with an optional fourth day), equips attendees with insights into the business advantages and practical use cases of Hadoop and its ecosystem. Participants will learn how to plan for cluster deployment and scalability, as well as how to install, maintain, monitor, troubleshoot, and optimize Hadoop environments. The curriculum includes hands-on practice with bulk data loading, exploration of various Hadoop distributions, and skills in installing and managing Hadoop ecosystem tools. The course concludes with a discussion on securing the cluster using Kerberos.

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

Audience

Hadoop administrators

Format

A mix of lectures and hands-on labs, with an approximate split of 60% lectures and 40% lab sessions.

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

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

Upon completion of this training, participants will be capable of:

• Installing, configuring, and maintaining Apache NiFi clusters.
• Designing and managing dataflows connecting various sources and sinks.
• Implementing logic for flow automation, routing, and transformation.
• Optimizing performance, monitoring operations, and resolving issues.

Course Format

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

Course Customization Options

• For custom training requests regarding this course, please reach out to us to make arrangements.

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