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Introduction to Apache Spark | Hands-on Spark for Big Data & Machine Learning (TTSK7503)

Name: Introduction to Apache Spark | Hands-on Spark for Big Data & Machine Learning (TTSK7503)
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Rating: 4.6 (5878 reviews)

Introduction to Apache Spark for Big Data & Machine Learning®provides students with a comprehensive, hands-on exploration of enterprise-grade Spark programming, interacting with the significant components mentioned above to craft complete data science solutions.® Students will leave this course armed with the skills they require to begin working with Spark in...

4.6 out of 5 rating
Last updated : 23/07/2026
English

Available as Instructor Led Training, Live Online & In Person at your Offices or Ours.

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Download Overview

Duration:

24.00 hours

19.5 CPD hours

Overview:

Description:

Apache Spark, a significant component in the Hadoop Ecosystem, is a cluster computing engine used in Big Data. Building on top of the Hadoop YARN and HDFS ecosystem, it offers order-of-magnitude faster processing for many in-memory computing tasks compared to Map/Reduce. It can be programmed in Java, Scala, Python, and R - the favorite languages of Data Scientists - along with SQL-based front ends. With advanced libraries like Mahout and MLib for Machine Learning, GraphX or Neo4J for rich data graph processing as well as access to other NOSQL data stores, Rule engines and other Enterprise components, Spark is a lynchpin in modern Big Data and Data Science computing.
Geared for experienced developers, Introduction to Apache Spark for Big Data & Machine Learning provides students with a comprehensive, hands-on exploration of enterprise-grade Spark programming, interacting with the significant components mentioned above to craft complete data science solutions. Students will leave this course armed with the skills they require to begin working with Spark in a practical, real world environment.
This course is offered in support of the Python programming language but can also be offered for R or Java with advance notice and planning. Our team will work with you to coordinate the languages, tools and environment that will work best for your organization and needs. Please inquire for details.

Course Outline:

Spark Introduction

Big data, Hadoop, Spark
Spark concepts and architecture
Spark components overview
Labs: installing and running Spark
The first look at Spark

Spark shell
Spark web UIs
Analyzing dataset €œ part 1
Labs: Spark shell exploration
Spark Data structures

Partitions
Distributed execution
Operations: transformations and actions
Labs: Unstructured data analytics using RDDs
Caching

Caching overview
Various caching mechanisms available in Spark
In memory file systems
Caching use cases and best practices
Labs: Benchmark of caching performance
DataFrames and Datasets

DataFrames Intro
Loading structured data (JSON, CSV) using DataFrames
Using schema
Specifying schema for DataFrames
Labs: DataFrames, Datasets, Schema
Spark SQL

Spark SQL concepts and overview
Defining tables and importing datasets
Querying data using SQL
Handling various storage formats: JSON, Parquet, ORC
Labs: querying structured data using SQL; evaluating data formats
Spark and Hadoop

Hadoop Primer: HDFS, YARN
Hadoop + Spark architecture
Running Spark on Hadoop YARN
Processing HDFS files using Spark
Spark & Hive
Spark API

Overview of Spark APIs in Scala / Python
The lifecycle of a Spark application
Spark APIs
Deploying Spark applications on YARN
Labs: Developing and deploying a Spark application
Spark ML Overview

Machine Learning primer
Machine Learning in Spark: MLib / ML
Spark ML overview (newer Spark2 version)
Algorithms overview: Clustering, Classifications, Recommendations
Labs: Writing ML applications in Spark
GraphX

GraphX library overview
GraphX APIs
Create a Graph and navigating it
Shortest distance
Pregel API
Labs: Processing graph data using Spark
Time Permitting Topics

Spark Streaming

Streaming concepts
Evaluating Streaming platforms
Spark streaming library overview
Streaming operations
Sliding window operations
Structured Streaming
Continuous streaming
Spark & Kafka streaming
Labs: Writing spark streaming applications
Workshop

Attendees will work on solving real-world data analysis problems using Spark

Available Delivery Options for Introduction to Apache Spark | Hands-on Spark for Big Data & Machine Learning (TTSK7503)

Live Instructor Led Classroom Online (Live Online)
Traditional Instructor Led Classroom training (TILT/ILT)
Delivery at your offices in United Kingdom
Private dedicated course for your staff

How many CPD hours does Introduction to Apache Spark | Hands-on Spark for Big Data & Machine Learning (TTSK7503) provide?

The 3 day Introduction to Apache Spark | Hands-on Spark for Big Data & Machine Learning (TTSK7503) course gives you up to 19.5 CPD hours/structured learning hours.

Who is the correct audience for Introduction to Apache Spark | Hands-on Spark for Big Data & Machine Learning (TTSK7503)?

This foundation-level course is geared for intermediate skilled, experienced Developers and Architects (with basic Python experience) who seek to be proficient in advanced, modern development skills working with Apache Spark in an enterprise data environment.

Do you provide training for Introduction to Apache Spark | Hands-on Spark for Big Data & Machine Learning (TTSK7503)?

Yes, we provide corporate training, dedicated training and closed classes for Introduction to Apache Spark | Hands-on Spark for Big Data & Machine Learning (TTSK7503). This can take place anywhere in United Kingdom including London, Manchester, Birmingham, Edinburgh or live online.

What is the duration of Introduction to Apache Spark | Hands-on Spark for Big Data & Machine Learning (TTSK7503)?

The Introduction to Apache Spark | Hands-on Spark for Big Data & Machine Learning (TTSK7503) training takes place over 3 day(s), with each day lasting approximately 24.00 hours including breaks.

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Why are Nexus Human the best provider for Introduction to Apache Spark | Hands-on Spark for Big Data & Machine Learning (TTSK7503)?

Nexus Human are recognised as one of the best training companies. Our trainers have won awards including Small Firms Best Trainer, national training partner of the year for Ireland, and global top 30 instructor awards in 2012, 2019 and 2021.

Is there a discount code for Introduction to Apache Spark | Hands-on Spark for Big Data & Machine Learning (TTSK7503)?

Yes, the discount code PENPAL5 is currently available for Introduction to Apache Spark | Hands-on Spark for Big Data & Machine Learning (TTSK7503) training. Only one discount code can be used per booking.

DURATION 1 Day

No scheduled classes available at this time.

Training Insurance Included!

When you organise training, we understand that there is a risk that some people may fall ill, become unavailable.

To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.