Download Big Data Analytics: Internet of Things Sensor Data and Time Series

Big Data Analytics: Internet of Things
Sensor Data and Time Series Analysis
6 – 7 Oct 2016 (Thu – Fri, 9:30am – 5:00pm) (Course Code: 10003843-04)
Learning Objectives











1.
•
•
•
•
2.
•
•
•
•
3.
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
Deployment on Internet of Things Sensor Time Series
Analysis Architecture
Big Data Analytics Basics
Internet of Things Sensors Data Collection
Programming for IOT: Python
Use of Column-based Database: Cassandra
Use of Time Series Database
Use of Fast-version Hadoop: Spark
Use of MLIB Machine Learning Algorithms
Practical Use of Internet of Things Sensor Data
Streaming and Analysis
Application to Weather Time Series Analysis
Application to Smart Meter Time Series Analysis
Introduction to Big Data
Analytics
4.
Internet of Things and
Time Series
5.
What is Big Data?
What is Big Data Analytics
Trends and History
Business Driver and Motivation
What is Internet of Things
Data Collection of Sensors
Analysis of Sensors Data
Why Traditional Database is
not working?
Python
Why Python?
Installing and running Python
Basic Data Types
Comments
Names
and
Assignment,
Reference Semantics
Sequences:
Lists,
Tuples,
Strings, Dictionaries, Slicing
Mutability
Mathematics in Python
Conditional
Iteration
File Input/Output
Methods in Python
Dunder Methods
Functions
Classes Help
Organizer:
•
•
•
•
•
•
•
•
•
•
•
•
6.
•
•
•
•
•
Course Content
Advanced Python
Operating System Interfaces
Programming with Threads
Network Programming
Database Interface
Extension in C
Colum-based distributed
database: Cassandra
Introduction to Cassandra
Architecture
Data Model and Installation
Keyspace Operations
Table Operations
CUURD Operations
CQL Types
7.
•
•
•
•
•
8.
•
•
•
•
Apache Spark: 100x faster
than Hadoop
What is Apache Spark
Spark SQL and Data Frames
Spark Streaming
MLib (Machine Learning)
GraphX
MLIB In-Memory Machine
Learning Algorithms
Logistic Regression
Regression Tree
Clustering
Practical Usage Examples in
Internet of Things Sensor Data
Exercise: Internet of
Things Sensor Data
Streaming
What is Time Series Database
Importance to Internet of 10. Case Study
Time Series Database:
KairosDB
Things Project
Pushing Data
Querying Data
Examples of Using Time Series
Database
9.
A.
B.
Weather Time Series
Analysis
Smart Meter Time Series
Analysis Example
Medium of Instruction
Cantonese (English terms will be used where appropriate)
Date & Time
6 – 7 Oct 2016 (Thu – Fri), 9:30am – 5:00pm
Duration
6 hours per session, total 12 lecturing hours.
Course Fee
HK$4,800
(“Friends of SME One” could enjoy a 5% off discount)
Award of Certificate
Participants who have attained at least 75% attendance will be awarded a certificate of attendance issued by the Hong
Kong Productivity Council.
Venue
Hong Kong Productivity Council, 1/F, HKPC Building, 78 Tat Chee Avenue, Kowloon Tong, Kowloon, Hong Kong.
(Kowloon Tong MTR Station Exit C)
Application
To enrol, please complete the attached enrolment form and send it together with the appropriate fee to Productivity
Training Institute (PTI), Hong Kong Productivity Council, 3/F, HKPC Building, 78 Tat Chee Avenue, Kowloon Tong, Kowloon,
Hong Kong. Attention: Ms. Fannie Kwok.
[All cheques should be crossed and made payable to the Hong Kong Productivity Council.]
Participants are advised to make registration on or before 22 Sep 2016 (Thu).
Enquiries
Please call Ms. Kwok at (852) 2788-6271 or email: [email protected], Ms. Ho at (852) 2788-5013 or fax (852) 2190-9774
Website: http://www.hktrainingonline.com
About the “Diploma in Big Data Analytic Practitioner”
Participants who have completed this course AND the other 4 courses (listed below) and have
passed the assessment of project will be awarded the “Diploma in Big Data Analytic
Practitioner”:
1. Big Data Analytic Essential for Smart City
2. Big Data Analytics: R Analytics for Business and Internet+
3. Big Data Analytics: Functional Programming: Analytic Architecture and Case Study
4. Big Data Advanced Artificial Intelligence: Deep Learning