Big Data with Amazon Cloud, Hadoop/Spark and Docker

Big Data with Amazon Cloud, Hadoop/Spark and Docker

This is a 6-week evening program providing a hands-on introduction to the Hadoop and Spark ecosystem of Big Data technologies. The course will cover these key components of Apache Hadoop: HDFS, MapReduce with streaming, Hive, and Spark. Programming will be done in Python. The course will begin with a review of Python concepts needed for our examples. The course format is interactive. Students will need to bring laptops to class.

* Tuition paid for part-time courses can be applied to the Data Science Bootcamps if admitted within 9 months.
In response to COVID-19 State reopening, all our courses could be taken either in-person or remote/live online. Please indicate your preference by emailing [email protected] after registering for our class

Course Dates

October Session

Oct 19 - Dec 2, 2021
Tuesday, Thursday

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Product Description

Course Overview

This 6-week program provides a hands-on introduction to Apache Hadoop and Spark programming using Python and cloud computing. The key components covered by the course include Hadoop Distributed File Systems, MapReduce using MRJob, Apache Hive, Pig, and Spark. Tools and platforms that are used include Docker, Amazon Web Services and Databricks. In the first half of the program students are required to pull a pre-built Docker image and run most of the exercises locally using docker containers. In the second half students must access their AWS and Databricks accounts to run cloud computing exercises. Students will need to bring their laptops to class.


To get the most out of the class, you need to be familiar with Linux file systems, Linux command line interface (CLI) and the basic linux commands such as cd, ls, cp, etc. You also need to have basic programming skills in Python, and are comfortable with functional programming style, for example, how to use map() function to split a list of strings into a nested list. Object oriented programming (OOP) in python is not required.


Certificates are awarded at the end of the program at the satisfactory completion of the course. Students are evaluated on a pass/fail basis for their performance on the required homework and final project (where applicable). Students who complete 80% of the homework and attend a minimum of 85% of all classes are eligible for the certificate of completion.

Certificate of Completion
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Demo Lecture

MapReduce using MRJob
Jake Bialer
NYC Data Science Academy's Instructor, Jake Bialer, walks through a lecture on MapReduce examples.


Unit 1: Introduction to Hadoop

  • 1. Data Engineering Toolkits
    • Running Linux using Docker containers
    • Linux CLI command and bash scripts
    • Python basics
  • 2. Hadoop and MapReduce
    • Big Data Overview
    • HDFS
    • YARN
    • MapReduce

Unit 2 – MapReduce

  • 3. MapReduce using MRJob 1
    • Protocols for Input & Output
    • Filtering
  • 4. MapReduce using MRJob 2
    • Top n
    • Inverted Index
    • Multi-step Jobs

Unit 3 – Apache Hive

  • 5. Apache Hive 1
    • Databases for Big Data
    • HiveQL and Querying Data
    • Windowing And Analytics Functions
    • MapReduce Scripts
  • 6. Apache Hive 2
    • Tables in Hive
    • Managed Tables and External Tables
    • Storage Formats
    • Partitions and Buckets

Unit 4 – Apache Pig

  • 7. Apache Pig 1
    • Overview
    • Pig Latin: Data Types
    • Pig Latin: Relational Operators
  • 8. Apache Pig 2
    • More Pig Latin: Relational operators
    • More Pig Latin: Functions
    • Compiling Pig to MapReduce
    • The Parallel Clause
    • Join Optimizations

Unit 5 – Apache Spark and AWS

  • 9. Apache Spark – Spark Core
    • Spark Overview
    • Running Spark using Databricks Notebooks
    • Working with PySpark: RDDs
    • Transformations and Actions
  • 10. Apache Spark – Spark SQL
    • Spark DataFrame
    • SQL Operations using Spark SQL
  • 11. Apache Spark – Spark ML
    • ML Pipeline using PySpark
  • 12. Amazon Elastic MapReduce
    • Overview
    • Amazon Web Services: IAM, EC2, S3
    • Creating EMR Cluster
    • Submitting Jobs
    • Intro to AWS CLI

Campus Location

500 8th Ave Suite 905, New York, NY 10018
Nearby Subways
1 2 3 34th, Penn Station
A C E 34th, Penn Station
N Q R B D F M 34th, Herald Square


Jake Bialer
Jake Bialer
Jake Bialer is a full stack developer and data scientist who has spent the last decade immersed in data problems at online media organizations, e-commerce sites, and other web businesses. He currently runs his own consultancy, Bialerology, and teaches web scraping and big data engineering at the NYC Data Science Academy.

Session Schedule

October Session

Oct 19 - Dec 2, 2021 Tuesday & Thursday
  • 1October 19, 2021
  • 2October 21, 2021
  • 3October 26, 2021
  • 4October 28, 2021
  • 5November 2, 2021
  • 6November 4, 2021
  • 7November 9, 2021
  • 8November 16, 2021
  • 9November 18, 2021
  • 10November 23, 2021
  • 11November 30, 2021
  • 12December 2, 2021

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Save More by Enrolling in a Bundle

Data Science Mastery
Data Science with R: Machine Learning
Data Science with R: Machine Learning
Data Science with Python: Machine Learning
Data Science with Python: Machine Learning
Big Data with Amazon Cloud, Hadoop/Spark and Docker
Big Data with Amazon Cloud, Hadoop/Spark and Docker
Total: $7970.00$7410.00