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Description

Official Description

6.0 Continuing Education Units (CEUs)

Overview of various aspects of large data sets and how they are managed both on site and in the Cloud. Emphasis on hands-on experience from data ingestion to analysis of large data sets, both data-at-rest and data-in-motion (streaming data), including defining Big Data and its 5 V's: Volume, Velocity, Variety, Veracity, and Value.

 

Supplementary Information

35 hours in class plus at least 25 hours of assignments/readings.

Topics Covered

  • Distributed Storage & Distributed Processing
  • Analyzing Structured & Un-structured data at scale
  • Row Oriented and Columnar Oriented Files Formats
  • NOSQL Databases main categories
  • Ingesting Data at Scale (High Velocity & Large Volume)
  • Apache Hadoop and Apache Spark ecosystems (On-premise and in the Cloud)
  • Scala language overview

Learning Outcomes

The course is designed to enable you to:

  • Use Hadoop & Spark to store and process data at scale (using MapReduce and Spark)
  • Use Hive, Impala and Spark SQL to analyze data at scale (using Hive Query Language, Scala, Python)
  • Use Pig to analyze unstructured data at scale (using Pig Latin language)
  • Improve querying data time (using Avro and Parquet files formats)
  • Import and Export data at scale (using Sqoop)
  • Install and configure ODBC/JDBC connectors to connect third party tools (MS Excel, Tableau Software, MicroStrategy, etc...)
  • Build Nifi Data Flows to ingest, transform and route data at scale
  • Implement Real-Time dashboard (using Nifi, HBase, Kafka, Banana Solr Dashboard)

Notes

This course is supported by DataCamp, the most intuitive learning platform for data science. Learn R, Python and SQL the way you learn best through a combination of short expert videos and hands-on-the-keyboard exercises. Take over 100+ courses by expert instructors on topics such as importing data, data visualization or machine learning and learn faster through immediate and personalized feedback on every exercise.

Prerequisite(s) and Corequisite(s)

Applies Towards the Following Programs

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Section(s) offered
Section Title
Data at Scale
Language of Delivery
English
Type
Remote Lecture
Days
W
Time
6:00PM to 9:00PM
Dates
Sep 15, 2021 to Nov 24, 2021
Type
Remote Lecture
Days
W
Time
6:00PM to 8:00PM
Dates
Dec 01, 2021
Schedule and Location
Contact Hours
35.0
Delivery Format(s)
Course Fee(s)
Tuition Fee non-credit $1,478.80 Click here to get more information
Drop Request Deadline
May 03, 2021 to Sep 22, 2021
Transfer Request Deadline
May 03, 2021 to Sep 22, 2021
Withdrawal Request Deadline
Sep 22, 2021 to Sep 29, 2021
Instructors
Section Notes

A minimum number of registrations is required for this course section to be offered. The School reserves the right to cancel any course section when a minimum number of registrations has not been reached 7 days prior to the start date. In the event of a cancellation, the course fee will be refunded in full.

Course Fee Description

  • Tuition Fee: $1459.00
  • SCS Career Development Success package (SCSD) fee:  $19.80

Course Drop/Withdrawal Policy

  • Any time prior to the 1st class: Course Drop Period with Full Refund.
  • After the 1st and before the 2nd class: Course Withdrawal Period with Full Refund.
  • After the 2nd class before the 3rd class: Course Withdrawal with No Refund.
Section Title
Data at Scale
Language of Delivery
English
Type
Remote Lecture
Days
M
Time
6:00PM to 9:00PM
Dates
Oct 04, 2021
Type
Remote Lecture
Days
T
Time
6:00PM to 9:00PM
Dates
Oct 12, 2021
Type
Remote Lecture
Days
M
Time
6:00PM to 9:00PM
Dates
Oct 18, 2021 to Dec 13, 2021
Type
Remote Lecture
Days
M
Time
6:00PM to 8:00PM
Dates
Dec 20, 2021
Schedule and Location
Contact Hours
35.0
Delivery Format(s)
Course Fee(s)
Drop Request Deadline
May 03, 2021 to Oct 04, 2021
Transfer Request Deadline
May 03, 2021 to Oct 04, 2021
Withdrawal Request Deadline
Oct 04, 2021 to Oct 11, 2021
Section Notes

A minimum number of registrations is required for this course section to be offered. The School reserves the right to cancel any course section when a minimum number of registrations has not been reached 7 days prior to the start date. In the event of a cancellation, the course fee will be refunded in full.

Course Drop/Withdrawal Policy

  • Any time prior to the 1st class: Course Drop Period with Full Refund.
  • After the 1st and before the 2nd class: Course Withdrawal Period with Full Refund.
  • After the 2nd class before the 3rd class: Course Withdrawal with No Refund.
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