Local, instructor-led 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 as "onsite live training" or "remote live training". Onsite live training can be carried out locally on customer premises in Birmingham or in NobleProg corporate training centers in Birmingham. Remote live training is carried out by way of an interactive, remote desktop. NobleProg -- Your Local Training Provider
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 ramp past McDonalds continue up Corporation Street for 200m passing Gap Clothes, House of Fraser and Wetherspoons pub. Continue across Old...
Read moreThe trainer made the class interesting and entertaining which helps quite a bit with all day trainings
Ryan Speelman
Course: Spark for Developers
We know know a lot more about the whole environment
John Kidd
Course: 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: Spark for Developers
case analysis
国栋 张
Course: Spark for Developers
Translated by
Applicable scenarios and cases
zhaopeng liu - Fmr
Course: Spark for Developers
Translated by
all parts of this session
Eric Han - Fmr
Course: Spark for Developers
Translated by
| Code | Name | Venue | Duration | Course Date | Course Price [Remote / Classroom] |
|---|---|---|---|---|---|
| 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 |
| bigdataanahealth | Big Data Analytics in Health | Birmingham | 21 hours | Wed, 2018-08-29 09:30 | £3300 / £4275 |
| sparksql | Apache Spark SQL | Birmingham | 7 hours | Thu, 2018-08-30 09:30 | £1100 / £1425 |
| magellan | Magellan: Geospatial Analytics on Spark | Birmingham | 14 hours | Thu, 2018-08-30 09:30 | £2600 / £3250 |
| 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 |
| sparkpython | Python and Spark for Big Data (PySpark) | Birmingham | 21 hours | Mon, 2018-10-15 09:30 | £3900 / £4875 |
| sparkdev | Spark for Developers | Birmingham | 21 hours | Mon, 2018-10-15 09:30 | £3300 / £4275 |
| 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 |
| graphcomputing | Introduction to Graph Computing | Birmingham | 28 hours | Mon, 2018-11-05 09:30 | £4400 / £5700 |
| alluxio | Alluxio: Unifying Disparate Storage Systems | Birmingham | 7 hours | Mon, 2018-11-05 09:30 | £1100 / £1425 |
| bigdataanahealth | Big Data Analytics in Health | Birmingham | 21 hours | Tue, 2018-11-06 09:30 | £3300 / £4275 |
| 68780 | Apache Spark | Birmingham | 14 hours | Thu, 2018-11-08 09:30 | £2200 / £2850 |
| sparkdev | Spark for Developers | Birmingham | 21 hours | Wed, 2018-12-05 09:30 | £3300 / £4275 |
| sparkpython | Python and Spark for Big Data (PySpark) | Birmingham | 21 hours | Tue, 2018-12-11 09:30 | £3900 / £4875 |
| sparksql | Apache Spark SQL | Birmingham | 7 hours | Tue, 2018-12-11 09:30 | £1100 / £1425 |
| magellan | Magellan: Geospatial Analytics on Spark | Birmingham | 14 hours | Thu, 2018-12-13 09:30 | £2600 / £3250 |
| introtostreamprocessing | A Practical Introduction to Stream Processing | Birmingham | 21 hours | Tue, 2018-12-18 09:30 | £3300 / £4275 |
| alluxio | Alluxio: Unifying Disparate Storage Systems | Birmingham | 7 hours | Mon, 2018-12-31 09:30 | £1100 / £1425 |
| 68780 | Apache Spark | Birmingham | 14 hours | Mon, 2018-12-31 09:30 | £2200 / £2850 |
| bigdataanahealth | Big Data Analytics in Health | Birmingham | 21 hours | Mon, 2018-12-31 09:30 | £3300 / £4275 |
| graphcomputing | Introduction to Graph Computing | Birmingham | 28 hours | Tue, 2019-01-01 09:30 | £4400 / £5700 |
| hdp | Hortonworks Data Platform (HDP) for administrators | Birmingham | 21 hours | Wed, 2019-01-02 09:30 | £3300 / £4275 |
| Code | Name | Duration | Overview |
|---|---|---|---|
| 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:
Audience
Format of the course
|
| 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:
Audience
Format of the course
|
| alluxio | Alluxio: Unifying Disparate Storage Systems | 7 hours | Alluxio 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 Alluxio 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:
Audience
Format of the course
|
| 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:
Audience
Format of the course
|
| 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:
Audience
Format of the course
|
| 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: 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:
Audience
Format of the Course
Notes
|
| 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:
Audience
Format of the Course
Notes
|
| bigdataanahealth | Big Data Analytics in Health | 21 hours | Big data analytics involves the process of examining large amounts of varied data sets in order to uncover correlations, hidden patterns, and other useful insights. The health industry has massive amounts of complex heterogeneous medical and clinical data. Applying big data analytics on health data presents huge potential in deriving insights for improving delivery of healthcare. However, the enormity of these datasets poses great challenges in analyses and practical applications to a clinical environment. In this instructor-led, live training (remote), participants will learn how to perform big data analytics in health as they step through a series of hands-on live-lab exercises. By the end of this training, participants will be able to:
Audience
Format of the Course
Note
|
| Course | Venue | Course Date | Course Price [Remote / Classroom] |
|---|---|---|---|
| OCUP2 UML 2.5 Certification - Advanced Exam Preparation | St Helier, Jersey, Channel Isles | Mon, 2018-07-23 09:30 | £1980 / £2930 |
| Introduction to R | Glasgow | Wed, 2018-08-01 09:30 | £3861 / £4911 |
| Subversion for Users | Newcastle | Fri, 2018-08-03 09:30 | £1089 / £1289 |
| OCUP2 UML 2.5 Certification - Intermediate Exam Preparation | St Helier, Jersey, Channel Isles | Tue, 2018-08-07 09:30 | £2340 / £3290 |
| jQuery | Swansea- Princess House | Wed, 2018-08-15 09:30 | £1980 / £2280 |
| AWS: A Hands-on Introduction to Cloud Computing | Edinburgh Training and Conference Venue | Tue, 2018-09-11 09:30 | £1287 / £1487 |
| Test Automation with Selenium | St Helier, Jersey, Channel Isles | Tue, 2018-09-18 09:30 | £2970 / £4395 |
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