Apache Spark with Scala Training for Big Data Solutions

Level: Intermediate
Rating: 4.4/5 4.44/5 Based on 110 Reviews

In this hands-on Apache Spark with Scala course you will learn to leverage Spark best practises, develop solutions that run on the Apache Spark platform, and take advantage of Spark’s efficient use of memory and powerful programming model. Learn to supercharge your data with Apache Spark, a big data platform well-suited for iterative algorithms required by graph analytics and machine learning.

Key Features of this Apache Spark with Scala Training

  • After-course instructor coaching benefit
  • Learning Tree end-of-course exam included
  • After-course computing sandbox included

You Will Learn How To

  • Develop applications with Spark
  • Work with the libraries for SQL, Streaming, and Machine Learning
  • Map real-world problems to parallel algorithms
  • Build business applications that integrate with Spark

Choose the Training Solution That Best Fits Your Individual Needs or Organisational Goals

LIVE, INSTRUCTOR-LED

In Class & Live, Online Training

  • 4-day instructor-led training course
  • After-course instructor coaching benefit
  • Learning Tree end-of-course exam included
View Course Details & Schedule

Standard £2095

RESERVE SEAT

PRODUCT #1262

TRAINING AT YOUR SITE

Team Training

  • Bring this or any training to your organisation
  • Full - scale program development
  • Delivered when, where, and how you want it
  • Blended learning models
  • Tailored content
  • Expert team coaching

Customize Your Team Training Experience

CONTACT US

Save More on Training with Learning Tree Training Vouchers!

Our flexible, easy-to-redeem training vouchers are available to any employee within your organisation. For details, please call 0800 282 353 or chat live.

In Class & Live, Online Training

Note: This course runs for 4 Days

  • 19 - 22 Nov 9:00 AM - 4:30 PM GMT London / Online (AnyWare) London / Online (AnyWare) Reserve Your Seat

  • 3 - 6 Mar 9:00 AM - 4:30 PM GMT London / Online (AnyWare) London / Online (AnyWare) Reserve Your Seat

  • 9 - 12 Jun 9:00 AM - 4:30 PM BST London / Online (AnyWare) London / Online (AnyWare) Reserve Your Seat

  • 7 - 10 Jan 2:00 PM - 9:30 PM GMT Herndon, VA / Online (AnyWare) Herndon, VA / Online (AnyWare) Reserve Your Seat

  • 23 - 26 Jun 2:00 PM - 9:30 PM BST Herndon, VA / Online (AnyWare) Herndon, VA / Online (AnyWare) Reserve Your Seat

Guaranteed to Run

When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time, location — will run. Guaranteed.

Apache Spark with Scala Course Information

  • Requirements

    • Professional experience in programming at the level of:
    • Three to six months of experience in a object-oriented programming language

Apache Spark with Scala Course Outline

  • Introduction to Spark

    • Defining Big Data and Big Computation
    • What is Spark?
    • What are the benefits of Spark?
  • The Challenge of Parallelizing Applications

    Scaling-out applications

    • Identifying the performance limitations of a modern CPU
    • Scaling traditional parallel processing models

    Designing parallel algorithms

    • Fostering parallelism through functional programming
    • Mapping real-world problems to effective parallel algorithms
  • Defining the Spark Architecture

    Parallelizing data structures

    • Partitioning data across the cluster using Resilient Distributed Datasets (RDD) and DataFrames
    • Apportioning task execution across multiple nodes
    • Running applications with the Spark execution model

    The anatomy of a Spark cluster

    • Creating resilient and fault-tolerant clusters
    • Achieving scalable distributed storage

    Managing the cluster

    • Monitoring and administering Spark applications
    • Visualising execution plans and results
  • Developing Spark Applications

    Selecting the development environment

    • Performing exploratory programming via the Spark shell
    • Building stand-alone Spark applications

    Working with the Spark APIs

    • Programming with Scala and other supported languages
    • Building applications with the core APIs
    • Enriching applications with the bundled libraries
  • Manipulating Structured Data with Spark SQL

    Querying structured data

    • Processing queries with DataFrames and embedded SQL
    • Extending SQL with User-Defined Functions (UDFs)
    • Exploiting Parquet and JSON formatted data sets

    Integrating with external systems

    • Connecting to databases with JDBC
    • Executing Hive queries in external applications
  • Processing Streaming Data in Spark

    What is streaming?

    • Implementing sliding window operations
    • Determining state from continuous data
    • Processing simultaneous streams
    • Improving performance and reliability

    Streaming data sources

    • Streaming from built-in sources (e.g., log files, Twitter sockets, Kinesis, Kafka)
    • Developing custom receivers
    • Processing with the streaming API and Spark SQL
  • Performing Machine Learning with Spark

    Classifying observations

    • Predicting outcomes with supervised learning
    • Building a decision tree classifier

    Identifying patterns

    • Grouping data using unsupervised learning
    • Clustering with the k-means method
  • Creating Real-World Applications

    Building Spark-based business applications

    • Exposing Spark via a RESTful web service
    • Generating Spark-based dashboards

    Spark as a service

    • Cloud vs. on-premises
    • Choosing a service provider (eg, AWS, Azure, Databricks)
  • The Future of Spark

    • Scaling to massive cluster sizes
    • Enhancing security on multi-tenant clusters
    • Tracking the ongoing commercialization of Spark
    • Project Tungsten: pushing performance closer to the limits of modern hardware
    • Working with existing projects powered by Spark
    • Re-architecting Spark for mobile platforms

Team Training

Apache Spark with Scala Training FAQs

  • What is Scala and Spark?

    Apache Spark, a big data platform well-suited for iterative algorithms required by graph analytics and machine learning, is written in Scala.

  • Do you need Scala for Spark?

    Scala is a supported language for Apache Spark. Programming with Scala will help build application with core APIs.

  • Can I learn Apache Spark with Scala online?

    Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs wherever you want, including online training.

Questions about which training is right for you?

call 0800 282 353
chat Live Chat




100% Satisfaction Guaranteed

Your Training Comes with a 100% Satisfaction Guarantee!*

  • If you are not 100 % satisfied, you pay no tuition fee!
  • No advance payment required for most products.
  • Tuition fee can be paid later by invoice - OR - at the time of checkout by credit card.

*Partner-delivered courses may have different terms that apply. Ask for details.

London / Online (AnyWare)
London / Online (AnyWare)
London / Online (AnyWare)
Herndon, VA / Online (AnyWare)
Herndon, VA / Online (AnyWare)
Preferred method of contact:
Chat Now

Please Choose a Language

Canada - English

Canada - Français