Online or onsite, instructor-led live Apache Hadoop training courses demonstrate through interactive hands-on practice the core components of the Hadoop ecosystem and how these technologies can be used to solve large-scale problems.
Hadoop training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Hadoop training can be carried out locally on customer premises in Newcastle or in NobleProg corporate training centers in Newcastle.
NobleProg -- Your Local Training Provider
Newcastle
116 Quayside, Newcastle upon Tyne, united kingdom, NE1 3DY
The Newcastle Quayside Centre is in a prestigious riverside location close to the River Tyne occupying three floors of a five-storey building with a glass front and modern interior. The views of the famous Tyne Bridge and recently built Millennium Bridge are stunning. The recently restored Baltic Centre for Contemporary Art is directly opposite, next to the Sage Gateshead performing arts and conference centre. The vibrant and energetic city of Newcastle is a modern, attractive and compact location with a strong identity where businesses prosper and people enjoy a quality of life that is second to none. This area is among the most successful in the UK for attracting investment from abroad and is already the preferred location of many Far Eastern and US companies entering the European market. Over 130 investors from 15 countries have chosen to locate in and around the city, joining a business community of over 17,000 companies.
This instructor-led, live training in Newcastle (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 NiFi is an open-source, flow-based data integration and event-processing platform. It enables automated, real-time data routing, transformation, and system mediation between disparate systems, with a web-based UI and fine-grained control.
This instructor-led, live training (onsite or remote) is aimed at intermediate-level administrators and engineers who wish to deploy, manage, secure, and optimise NiFi dataflows in production environments.
By the end of this training, participants will be able to:
Install, configure, and maintain Apache NiFi clusters.
Design and manage dataflows from varied sources and sinks.
Implement flow automation, routing, and transformation logic.
Optimize performance, monitor operations, and troubleshoot issues.
Format of the Course
Interactive lecture with real-world architecture discussion.
Hands-on labs: building, deploying, and managing flows.
Scenario-based exercises in a live-lab environment.
Course Customisation Options
To request a customised training for this course, please contact us to arrange.
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Testimonials (2)
Hands on exercises. Class should have been 5 days, but the 3 days helped to clear up a lot of questions that I had from working with NiFi already
James - BHG Financial
Course - Apache NiFi for Administrators
The fact that we were able to take with us most of the information/course/presentation/exercises done, so that we can look over them and perhaps redo what we didint understand first time or improve what we already did.
Raul Mihail Rat - Accenture Industrial SS
Course - Python, Spark, and Hadoop for Big Data
Provisional Upcoming Courses (Contact Us For More Information)
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