Apache Spark Training in Birmingham

  1. Course Catalogue
  2. Big Data Training
  3. Apache Spark Training
  4. Apache Spark Training in Birmingham
Apache Spark Training in Birmingham

Online or onsite, 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 "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Birmingham onsite live Apache Spark trainings can be carried out locally on customer premises or in NobleProg corporate training centres.

NobleProg -- Your Local Training Provider

Birmingham

Maple House
150 Corporation Street
Birmingham, WMD B4 6TB
United Kingdom
,
See map: Google Maps
West Midlands GB
Birmingham
Learn Apache Spark in our training center in 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 ramp past McDonalds continue up Corporation Street for 200m passing Gap Clothes, House of Fraser and Wetherspoons pub. Continue across Old...

Read more

Testimonials

★★★★★
★★★★★

Apache Spark Subcategories

GraphX Training CoursesGraphX
Apache Spark MLlib Training CoursesApache Spark MLlib
PySpark Training CoursesPySpark

Spark Course Events - Birmingham

Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP - Birmingham

2022-03-22 09:30:00
Birmingham
21 hours

Alluxio: Unifying Disparate Storage Systems - Birmingham

2022-03-11 09:30:00
Birmingham
7 hours

Big Data Analytics in Health - Birmingham

2022-03-23 09:30:00
Birmingham
21 hours

Introduction to Graph Computing - Birmingham

2022-03-21 09:30:00
Birmingham
28 hours

Hadoop and Spark for Administrators - Birmingham

2022-02-21 09:30:00
Birmingham
35 hours

Hortonworks Data Platform (HDP) for Administrators - Birmingham

2022-03-01 09:30:00
Birmingham
21 hours

A Practical Introduction to Stream Processing - Birmingham

2022-02-28 09:30:00
Birmingham
21 hours

Magellan: Geospatial Analytics on Spark - Birmingham

2022-03-03 09:30:00
Birmingham
14 hours

Apache Spark for .NET Developers - Birmingham

2022-03-09 09:30:00
Birmingham
21 hours

SMACK Stack for Data Science - Birmingham

2022-03-07 09:30:00
Birmingham
14 hours

Apache Spark Fundamentals - Birmingham

2022-03-29 09:30:00
Birmingham
21 hours

Apache Spark in the Cloud - Birmingham

2022-04-04 09:30:00
Birmingham
21 hours

Spark for Developers - Birmingham

2022-02-14 09:30:00
Birmingham
21 hours

Scaling Data Pipelines with Spark NLP - Birmingham

2022-03-16 09:30:00
Birmingham
14 hours

Python and Spark for Big Data (PySpark) - Birmingham

2022-03-23 09:30:00
Birmingham
21 hours

Python, Spark, and Hadoop for Big Data - Birmingham

2022-02-22 09:30:00
Birmingham
21 hours

Apache Spark Streaming with Scala - Birmingham

2022-02-16 09:30:00
Birmingham
21 hours

Apache Spark SQL - Birmingham

2022-02-18 09:30:00
Birmingham
7 hours

Apache Spark MLlib - Birmingham

2022-03-07 09:30:00
Birmingham
35 hours

Apache Spark Course Outlines in Birmingham

Course Name
Duration
Overview
Course Name
Duration
Overview

Python and Spark for Big Data (PySpark)

21 hours
In this instructor-led, live training in Birmingham, 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 cases.
- Use different tools and techniques for big data analysis using PySpark.

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

Hortonworks Data Platform (HDP) for Administrators

21 hours
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.

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

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

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

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:

- 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

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.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

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

A Practical Introduction to Stream Processing

21 hours
In this instructor-led, live training in Birmingham (onsite or remote), participants will learn how to set up 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.
- Integrate the most appropriate stream processing library with enterprise applications and microservices.

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:

- Install and configure big data analytics tools such as Hadoop MapReduce and Spark
- Understand the characteristics of medical data
- Apply big data techniques to deal with medical data
- Study big data systems and algorithms in the context of health applications

Audience

- Developers
- Data Scientists

Format of the Course

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

Note

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

Apache Spark in the Cloud

21 hours
Apache Spark's learning curve is slowly increasing at the begining, it needs a lot of effort to get the first return. This course aims to jump through the first tough part. After taking this course the participants will understand the basics of Apache Spark , they will clearly differentiate RDD from DataFrame, they will learn Python and Scala API, they will understand executors and tasks, etc. Also following the best practices, this course strongly focuses on cloud deployment, Databricks and AWS. The students will also understand the differences between AWS EMR and AWS Glue, one of the lastest Spark service of AWS.

AUDIENCE:

Data Engineer, DevOps, Data Scientist

Apache Spark Streaming with Scala

21 hours
This instructor-led, live training in Birmingham (online or onsite) is aimed at software engineers who wish to stream big data with Spark Streaming and Scala.

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

- Create Spark applications with the Scala programming language.
- Use Spark Streaming to process continuous streams of data.
- Process streams of real-time data with Spark Streaming.

SMACK Stack for Data Science

14 hours
This instructor-led, live training in Birmingham (online or onsite) is aimed at data scientists who wish to use the SMACK stack to build data processing platforms for big data solutions.

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

- Implement a data pipeline architecture for processing big data.
- Develop a cluster infrastructure with Apache Mesos and Docker.
- Analyze data with Spark and Scala.
- Manage unstructured data with Apache Cassandra.

Apache Spark Fundamentals

21 hours
This instructor-led, live training in Birmingham (online or onsite) is aimed at engineers who wish to set up and deploy Apache Spark system for processing very large amounts of data.

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

- Install and configure Apache Spark.
- Quickly process and analyze very large data sets.
- Understand the difference between Apache Spark and Hadoop MapReduce and when to use which.
- Integrate Apache Spark with other machine learning tools.

Apache Spark for .NET Developers

21 hours
This instructor-led, live training in Birmingham (online or onsite) is aimed at developers who wish to carry out big data analysis using Apache Spark in their .NET applications.

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

- Install and configure Apache Spark.
- Understand how .NET implements Spark APIs so that they can be accessed from a .NET application.
- Develop data processing applications using C# or F#, capable of handling data sets whose size is measured in terabytes and pedabytes.
- Develop machine learning features for a .NET application using Apache Spark capabilities.
- Carry out exploratory analysis using SQL queries on big data sets.

Hadoop and Spark for Administrators

35 hours
This instructor-led, live training in Birmingham (online or onsite) is aimed at system administrators who wish to learn how to set up, deploy and manage Hadoop clusters within their organization.

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

- Install and configure Apache Hadoop.
- Understand the four major components in the Hadoop ecoystem: HDFS, MapReduce, YARN, and Hadoop Common.
- Use Hadoop Distributed File System (HDFS) to scale a cluster to hundreds or thousands of nodes.
- Set up HDFS to operate as storage engine for on-premise Spark deployments.
- Set up Spark to access alternative storage solutions such as Amazon S3 and NoSQL database systems such as Redis, Elasticsearch, Couchbase, Aerospike, etc.
- Carry out administrative tasks such as provisioning, management, monitoring and securing an Apache Hadoop cluster.

Scaling Data Pipelines with Spark NLP

14 hours
This instructor-led, live training in Birmingham (online or onsite) is aimed at data scientists and developers who wish to use Spark NLP, built on top of Apache Spark, to develop, implement, and scale natural language text processing models and pipelines.

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

- Set up the necessary development environment to start building NLP pipelines with Spark NLP.
- Understand the features, architecture, and benefits of using Spark NLP.
- Use the pre-trained models available in Spark NLP to implement text processing.
- Learn how to build, train, and scale Spark NLP models for production-grade projects.
- Apply classification, inference, and sentiment analysis on real-world use cases (clinical data, customer behavior insights, etc.).

Python, Spark, and Hadoop for Big Data

21 hours
This instructor-led, live training in Birmingham (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 Spark MLlib

35 hours
MLlib is Spark’s machine learning (ML) library. Its goal is to make practical machine learning scalable and easy. It consists of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as lower-level optimization primitives and higher-level pipeline APIs.

It divides into two packages:

-

spark.mllib contains the original API built on top of RDDs.

-

spark.ml provides higher-level API built on top of DataFrames for constructing ML pipelines.

Audience

This course is directed at engineers and developers seeking to utilize a built in Machine Library for Apache Spark

Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

21 hours
This course is aimed at developers and data scientists who wish to understand and implement AI within their applications. Special focus is given to Data Analysis, Distributed AI and NLP.

Introduction to Graph Computing

28 hours
In this instructor-led, live training in Birmingham, 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 (also known as Graph Analytics) 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.

Last Updated:

Other countries

Consulting

Online Apache Spark training in Birmingham, Spark training courses in Birmingham, Weekend Apache Spark courses in Birmingham, Evening Apache Spark training in Birmingham, Spark instructor-led in Birmingham, Evening Spark courses in Birmingham, Spark trainer in Birmingham, Apache Spark one on one training in Birmingham, Apache Spark on-site in Birmingham, Apache Spark classes in Birmingham, Spark instructor-led in Birmingham, Spark boot camp in Birmingham, Spark private courses in Birmingham, Online Spark training in Birmingham, Weekend Apache Spark training in Birmingham, Spark instructor in Birmingham, Spark coaching in Birmingham

Course Discounts

Learning LabVIEW

25-01-2022 09:30
Remote
14 hours

ISO/IEC 27001 Foundation

27-01-2022 09:30
Bath
14 hours

Agile Project Management in the Public Sector

02-02-2022 09:30
Remote
21 hours

JMeter Fundamentals

02-02-2022 09:30
Remote
7 hours

Secure Web Application Development and Testing

16-02-2022 09:30
Remote
21 hours

ISO 9001 Foundation

17-02-2022 09:30
Remote
14 hours

Certified Kubernetes Administrator (CKA) - exam preparation

21-02-2022 09:30
Remote
21 hours

ISO27001: 2013 Lead Auditor (certification course)

21-02-2022 09:30
Remote
35 hours

Web Security with the OWASP Testing Framework

23-02-2022 09:30
Remote
28 hours

Open Source Cyber Intelligence - Introduction

23-02-2022 09:30
Remote
7 hours

Advanced TypeScript

28-02-2022 09:30
Remote
7 hours

Certified Kubernetes Security Specialist (CKS)

01-03-2022 09:30
Remote
21 hours
See All

Course Discounts Newsletter

We respect the privacy of your email address. We will not pass on or sell your address to others.
You can always change your preferences or unsubscribe completely.

Some of our clients

This site in other countries/regions