Course Outline

  1. Scala primer

    • A quick introduction to Scala
    • Labs : Getting know Scala

  2. Spark Basics

    • Background and history
    • Spark and Hadoop
    • Spark concepts and architecture
    • Spark eco system (core, spark sql, mlib, streaming)
    • Labs : Installing and running Spark

  3. First Look at Spark

    • Running Spark in local mode
    • Spark web UI
    • Spark shell
    • Analyzing dataset – part 1
    • Inspecting RDDs
    • Labs: Spark shell exploration

  4. RDDs

    • RDDs concepts
    • Partitions
    • RDD Operations / transformations
    • RDD types
    • Key-Value pair RDDs
    • MapReduce on RDD
    • Caching and persistence
    • Labs : creating & inspecting RDDs;   Caching RDDs

  5. Spark API programming

    • Introduction to Spark API / RDD API
    • Submitting the first program to Spark
    • Debugging / logging
    • Configuration properties
    • Labs : Programming in Spark API, Submitting jobs

  6. Spark SQL

    • SQL support in Spark
    • Dataframes
    • Defining tables and importing datasets
    • Querying data frames using SQL
    • Storage formats : JSON / Parquet
    • Labs : Creating and querying data frames; evaluating data formats

  7. MLlib

    • MLlib intro
    • MLlib algorithms
    • Labs : Writing MLib applications

  8. GraphX

    • GraphX library overview
    • GraphX APIs
    • Labs : Processing graph data using Spark

  9. Spark Streaming

    • Streaming overview
    • Evaluating Streaming platforms
    • Streaming operations
    • Sliding window operations
    • Labs : Writing spark streaming applications

  10. Spark and Hadoop

    • Hadoop Intro (HDFS / YARN)
    • Hadoop + Spark architecture
    • Running Spark on Hadoop YARN
    • Processing HDFS files using Spark

  11. Spark Performance and Tuning

    • Broadcast variables
    • Accumulators
    • Memory management & caching

  12. Spark Operations

    • Deploying Spark in production
    • Sample deployment templates
    • Configurations
    • Monitoring
    • Troubleshooting

Requirements

PRE-REQUISITES

familiarity with either Java / Scala / Python language (our labs in Scala and Python)
basic understanding of Linux development environment (command line navigation / editing files using VI or nano)
  21 Hours
 

Need help picking the right course?
Call us +971 4871 6715

Testimonials

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

Kieran Mac Kenna

share concept diagram and also sample for hands dirty

Mark Yang - FMR

Applicable scenarios and cases

zhaopeng liu - Fmr

case analysis

国栋 张

all parts of this session

Eric Han - Fmr

We know a lot more about the whole environment.

John Kidd

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

Ryan Speelman

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.

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

Michael Nemerouf

Richard was very willing to digress when we wanted to ask semi-related questions about things not on the syllabus. Explanations were clear and he was up front about caveats in any advice he gave us.

- ARM Limited

Small group (4 trainees) and we could progress together. Also the trainer could so help everybody.

- ICE International Copyright Enterprise Germany GmbH

Ajay was very friendly, helpful and also knowledgable about the topic he was discussing.

Biniam Guulay - ICE International Copyright Enterprise Germany GmbH

Doing similar exercises different ways really help understanding what each component (Hadoop/Spark, standalone/cluster) can do on its own and together. It gave me ideas on how I should test my application on my local machine when I develop vs when it is deployed on a cluster.

Thomas Carcaud - IT Frankfurt GmbH

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.

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