Hortonworks Data Platform (HDP) Training in York

Hortonworks Data Platform (HDP) Training in York

Online or onsite, instructor-led live Hortonworks Data Platform (HDP) training courses demonstrate through interactive hands-on practice how to develop big data solutions using HDP.

Hortonworks Data Platform (HDP) 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 Hortonworks Data Platform (HDP) trainings in York can be carried out locally on customer premises or in NobleProg corporate training centres.

NobleProg -- Your Local Training Provider

York - Priory Street Centre

Priory Street Centre
15 Priory Street
York, NYK YO1 6ET
United Kingdom
,
See map: Google Maps
North Yorkshire GB
York - Priory Street Centre
Learn Hortonworks Data Platform (HDP) in our training center in York. Accessible conference space centrally located in the heart of York,within easy walking distance from York railway station. Standard lunch is a mixture of vegetarian and non-vegetarian food, which can be tailored to individual requirements and we can offer catering for a wide range of specialist dietary, cultural or religious needs. Where possible, we ask our suppliers to source fair trade or local produce that is organic, free range and GM free. Address: 15 Priory Street, York, YO1 6ET... Read more

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HDP (Hortonworks Data Platform) Course Events - York

Hortonworks Data Platform (HDP) Course Outlines in York

Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
Overview
This instructor-led, live training in (online or onsite) introduces Hortonworks Data Platform (HDP) and walks participants through the deployment of Spark + Hadoop solution.

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

- Use Hortonworks to reliably run Hadoop at a large scale.
- Unify Hadoop's security, governance, and operations capabilities with Spark's agile analytic workflows.
- Use Hortonworks to investigate, validate, certify and support each of the components in a Spark project.
- Process different types of data, including structured, unstructured, in-motion, and at-rest.

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