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  1. Apache Spark Training
  2. Apache Spark Training in Birmingham

Apache Spark Training in Birmingham

Apache Spark Training in Birmingham

Apache Spark is a fast and open-source engine for big data processing.

NobleProg onsite live Apache Spark training courses demonstrate through hands-on practice how Spark fits into the Big Data ecosystem, and how to use Spark for data analysis.

Apache Spark training is available in various formats, including onsite live training and live instructor-led training using an interactive, remote desktop setup. Local Apache Spark training can be carried out live on customer premises or in NobleProg local training centers.

Birmingham

Maple House
150 Corporation Street
Birmingham, WMD B4 6TB
United Kingdom
See map: Google Maps
West Midlands GB
Birmingham
Directions From Moor Street Station Exiting via the main ticket hall, travel up the escalator to the Pallasades Shopping centre. At the top turn left and follow the shops first to the left and then to the right leading to the exit from the Pallasades and on to Corporation Street. Walking down the... Read more

Client Testimonials

We know know a lot more about the whole environment

John Kidd - Cardano Risk Management

Course Name: Spark for Developers

Ernesto did a great job explaining the high level concepts of using Spark and it's various modules.

Michael Nemerouf -

Course Name: Spark for Developers

I think the trainer had an excellent style of combining humor and real life stories to make the subjects at hand very approachable. I would highly recommend this professor in the future.

Course Name: Spark for Developers

I think the trainer had an excellent style of combining humor and real life stories to make the subjects at hand very approachable. I would highly recommend this professor in the future.

Course Name: Spark for Developers

The trainer made the class interesting and entertaining which helps quite a bit with all day trainings

Ryan Speelman -

Course Name: Spark for Developers

Richard is very calm and methodical, with an analytical insight - exactly the qualities needed to present this sort of course

Kieran Mac Kenna - BAE Systems Applied Intelligence

Course Name: Spark for Developers

Me gusto la metodologia esperada por Jorge

Experian Colombia S.A

Course Name: Spark para Desarrolladores

If the teacher can speak slowly, it is perfect.

Nicole Song Fmr

Course Name: Spark for Developers

Translated by Google Translated

如果老师能讲话慢一点,就perfect了。

Nicole Song - Fmr

all parts of this session

Eric Han Fmr

Course Name: Spark for Developers

Translated by Google Translated

all parts of this session

Eric Han - Fmr

case analysis

Zhang Guodong Fmr

Course Name: Spark for Developers

Translated by Google Translated

案例分析

张 国栋 - Fmr

Previous Next

Apache Spark Course Events - Birmingham

Code Name Venue Duration Course Date PHP Course Price [Remote / Classroom]
hdp Hortonworks Data Platform (HDP) for administrators Birmingham 21 hours Tue, 2018-05-15 09:30 £3300 / £4275
graphcomputing Introduction to Graph Computing Birmingham 28 hours Tue, 2018-05-22 09:30 £4400 / £5700
magellan Magellan: Geospatial Analytics on Spark Birmingham 14 hours Tue, 2018-05-22 09:30 £2600 / £3250
alluxio Alluxio: Unifying disparate storage systems Birmingham 7 hours Thu, 2018-05-24 09:30 £1100 / £1425
sparkpython Python and Spark for Big Data (PySpark) Birmingham 21 hours Wed, 2018-05-30 09:30 £3900 / £4875
68780 Apache Spark Birmingham 14 hours Thu, 2018-05-31 09:30 £2200 / £2850
sparksql Apache Spark SQL Birmingham 7 hours Thu, 2018-06-14 09:30 £1100 / £1425
sparkdev Spark for Developers Birmingham 21 hours Tue, 2018-06-19 09:30 £3300 / £4275
introtostreamprocessing A Practical Introduction to Stream Processing Birmingham 21 hours Mon, 2018-07-02 09:30 £3300 / £4275
hdp Hortonworks Data Platform (HDP) for administrators Birmingham 21 hours Mon, 2018-07-09 09:30 £3300 / £4275
magellan Magellan: Geospatial Analytics on Spark Birmingham 14 hours Wed, 2018-07-11 09:30 £2600 / £3250
alluxio Alluxio: Unifying disparate storage systems Birmingham 7 hours Thu, 2018-07-12 09:30 £1100 / £1425
graphcomputing Introduction to Graph Computing Birmingham 28 hours Mon, 2018-07-16 09:30 £4400 / £5700
68780 Apache Spark Birmingham 14 hours Mon, 2018-07-23 09:30 £2200 / £2850
sparkdev Spark for Developers Birmingham 21 hours Tue, 2018-08-14 09:30 £3300 / £4275
sparkpython Python and Spark for Big Data (PySpark) Birmingham 21 hours Wed, 2018-08-22 09:30 £3900 / £4875
introtostreamprocessing A Practical Introduction to Stream Processing Birmingham 21 hours Wed, 2018-08-29 09:30 £3300 / £4275
magellan Magellan: Geospatial Analytics on Spark Birmingham 14 hours Thu, 2018-08-30 09:30 £2600 / £3250
sparksql Apache Spark SQL Birmingham 7 hours Thu, 2018-08-30 09:30 £1100 / £1425
hdp Hortonworks Data Platform (HDP) for administrators Birmingham 21 hours Wed, 2018-09-05 09:30 £3300 / £4275
graphcomputing Introduction to Graph Computing Birmingham 28 hours Tue, 2018-09-11 09:30 £4400 / £5700
alluxio Alluxio: Unifying disparate storage systems Birmingham 7 hours Wed, 2018-09-12 09:30 £1100 / £1425
68780 Apache Spark Birmingham 14 hours Wed, 2018-09-19 09:30 £2200 / £2850
sparkdev Spark for Developers Birmingham 21 hours Mon, 2018-10-15 09:30 £3300 / £4275
sparkpython Python and Spark for Big Data (PySpark) Birmingham 21 hours Mon, 2018-10-15 09:30 £3900 / £4875
sparksql Apache Spark SQL Birmingham 7 hours Fri, 2018-10-19 09:30 £1100 / £1425
magellan Magellan: Geospatial Analytics on Spark Birmingham 14 hours Mon, 2018-10-22 09:30 £2600 / £3250
introtostreamprocessing A Practical Introduction to Stream Processing Birmingham 21 hours Tue, 2018-10-23 09:30 £3300 / £4275
hdp Hortonworks Data Platform (HDP) for administrators Birmingham 21 hours Tue, 2018-10-30 09:30 £3300 / £4275
alluxio Alluxio: Unifying disparate storage systems Birmingham 7 hours Mon, 2018-11-05 09:30 £1100 / £1425
graphcomputing Introduction to Graph Computing Birmingham 28 hours Mon, 2018-11-05 09:30 £4400 / £5700
68780 Apache Spark Birmingham 14 hours Thu, 2018-11-08 09:30 £2200 / £2850

Course Outlines

Code Name Duration Outline
68780 Apache Spark 14 hours
sparkdev Spark for Developers 21 hours

OBJECTIVE:

This course will introduce Apache Spark. The students will learn how  Spark fits  into the Big Data ecosystem, and how to use Spark for data analysis.  The course covers Spark shell for interactive data analysis, Spark internals, Spark APIs, Spark SQL, Spark streaming, and machine learning and graphX.

AUDIENCE :

Developers / Data Analysts

hdp Hortonworks Data Platform (HDP) for administrators 21 hours

Hortonworks Data Platform is an open-source Apache Hadoop support platform that provides a stable foundation for developing big data solutions on the Apache Hadoop ecosystem.

This instructor-led live training introduces Hortonworks 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.

Audience

  • Hadoop administrators

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice
magellan Magellan: Geospatial Analytics on Spark 14 hours

Magellan is an open-source distributed execution engine for geospatial analytics on big data. Implemented on top of Apache Spark, it extends Spark SQL and provides a relational abstraction for geospatial analytics.

This instructor-led, live training introduces the concepts and approaches for implementing geospacial analytics and walks participants through the creation of a predictive analysis application using Magellan on Spark.

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

  • Efficiently query, parse and join geospatial datasets at scale
  • Implement geospatial data in business intelligence and predictive analytics applications
  • Use spatial context to extend the capabilities of mobile devices, sensors, logs, and wearables

Audience

  • Application developers

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice
alluxio Alluxio: Unifying disparate storage systems 7 hours

Alexio is an open-source virtual distributed storage system that unifies disparate storage systems and enables applications to interact with data at memory speed. It is used by companies such as Intel, Baidu and Alibaba.

In this instructor-led, live training, participants will learn how to use Alexio to bridge different computation frameworks with storage systems and efficiently manage multi-petabyte scale data as they step through the creation of an application with Alluxio.

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

  • Develop an application with Alluxio
  • Connect big data systems and applications while preserving one namespace
  • Efficiently extract value from big data in any storage format
  • Improve workload performance
  • Deploy and manage Alluxio standalone or clustered

Audience

  • Data scientist
  • Developer
  • System administrator

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice
graphcomputing Introduction to Graph Computing 28 hours

A large number of real world problems can be described in terms of graphs. For example, the Web graph, the social network graph, the train network graph and the language graph. These graphs tend to be extremely large; processing them requires a specialized set of tools and processes -- these tools and processes can be referred to as Graph Computing (also known as Graph Analytics).

In this instructor-led, live training, participants will learn about the technology offerings and implementation approaches for processing graph data. The aim is to identify real-world objects, their characteristics and relationships, then model these relationships and process them as data using a graph computing approach. We start with a broad overview and narrow in on specific tools as we step through a series of case studies, hands-on exercises and live deployments.

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

  • Understand how graph data is persisted and traversed
  • Select the best framework for a given task (from graph databases to batch processing frameworks)
  • Implement Hadoop, Spark, GraphX and Pregel to carry out graph computing across many machines in parallel
  • View real-world big data problems in terms of graphs, processes and traversals

Audience

  • Developers

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice
sparkpython Python and Spark for Big Data (PySpark) 21 hours

Python is a high-level programming language famous for its clear syntax and code readibility. Spark is a data processing engine used in querying, analyzing, and transforming big data. PySpark allows users to interface Spark with Python.

In this instructor-led, live training, participants will learn how to use Python and Spark together to analyze big data as they work on hands-on exercises.

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

  • Learn how to use Spark with Python to analyze Big Data
  • Work on exercises that mimic real world circumstances
  • Use different tools and techniques for big data analysis using PySpark

Audience

  • Developers
  • IT Professionals
  • Data Scientists

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice
sparksql Apache Spark SQL 7 hours

Spark SQL is Apache Spark's module for working with structured and unstructured data. Spark SQL provides information about the structure of the data as well as the computation being performed. This information can be used to perform optimizations. Two common uses for Spark SQL are:
- to execute SQL queries.
- to read data from an existing Hive installation.

In this instructor-led, live training (onsite or remote), participants will learn how to analyze various types of data sets using Spark SQL.

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

  • Install and configure Spark SQL.
  • Perform data analysis using Spark SQL.
  • Query data sets in different formats.
  • Visualize data and query results.

Audience

  • Data analysts
  • Data scientists
  • Data engineers

Format of the Course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Notes

  • To request a customized training for this course, please contact us to arrange.
introtostreamprocessing A Practical Introduction to Stream Processing 21 hours

Stream Processing refers to the real-time processing of "data in motion", that is, performing computations on data as it is being received. Such data is read as continuous streams from data sources such as sensor events, website user activity, financial trades, credit card swipes, click streams, etc.  Stream Processing frameworks are able to read large volumes of incoming data and provide valuable insights almost instantaneously.

In this instructor-led, live training (onsite or remote), participants will learn how to setup and integrate different Stream Processing frameworks with existing big data storage systems and related software applications and microservices.

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

  • Install and configure different Stream Processing frameworks, such as Spark Streaming and Kafka Streaming
  • Understand and select the most appropriate framework for the job
  • Process of data continuously, concurrently, and in a record-by-record fashion
  • Integrate Stream Processing solutions with existing databases, data warehouses, data lakes, etc.
  • Integrating the most appropriate stream processing library with enterprise applications and microservices

Audience

  • Developers
  • Software architects

Format of the Course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Notes

  • To request a customized training for this course, please contact us to arrange.

Other regions

apache spark Training in Aberdeen
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apache spark Training in York

Other countries

These courses are also available in other countries ››

Consulting

Apache Spark Consulting
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Course Discounts

Course Venue Course Date Course Price [Remote / Classroom]
Comprehensive Git Sheffield Tue, 2018-04-24 09:30 £2970 / £3570
Kotlin for Android Developers London, Hatton Garden Wed, 2018-04-25 09:30 £3267 / £4392
Machine Learning and Deep Learning Belfast City Centre Mon, 2018-04-30 09:30 £3861 / £4611
DevOps Practical Implementation and Tools Cambridge Tue, 2018-05-01 09:30 £3861 / £4536
Enterprise Architecture Overview St Helier, Jersey, Channel Isles Thu, 2018-05-10 09:30 £1980 / £2930
JMeter Fundamentals Southampton Mon, 2018-05-21 09:30 £1089 / £1339
Administering MediaWiki Exeter - The Senate Mon, 2018-05-21 09:30 £990 / £1290
jQuery St Helier, Jersey, Channel Isles Thu, 2018-05-24 09:30 £1980 / £2930
Data Mining and Analysis Birmingham Tue, 2018-06-19 09:30 £5148 / £6448
Javascript And Ajax St Helier, Jersey, Channel Isles Mon, 2018-07-02 09:30 £4950 / £7325
OCUP2 UML 2.5 Certification - Advanced Exam Preparation St Helier, Jersey, Channel Isles Mon, 2018-07-23 09:30 £1980 / £2930
jQuery Swansea- Princess House Wed, 2018-08-15 09:30 £1980 / £2280
Test Automation with Selenium St Helier, Jersey, Channel Isles Tue, 2018-09-18 09:30 £2970 / £4395

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