Big Data in reference to Wearable Technology

Karyn M. Cole

Dr. Denise Ferebee

ITEC499 Academic Summer Internship

July 30, 2015

Agenda Project Definition

Big Data in reference to wearable technology

Include android

Methodology

Implementation

Additional Work Puzzle Based Learning

Future Work

Abstract As the capacity of data keeps increasing , the question becomes where to

store it? Phones, tablets, desktop computers, and laptops can only hold do much memory(RAM). Due to how much data is being saved/stored onto a device Big Data can be used can fix the complexity that goes into data storage. In the future Big Data can even be used to alter and clean up widespread memory.

Wearable Technology Wearable technology (also called wearable gadgets) is a category of

technology devices that can be worn by a consumer and often include tracking information related to health and fitness. Other wearable tech gadgets include devices that have small motion sensors to take photos and sync with your mobile devices.

Wearable Technology such as the Apple Watch, Fit Bit, jawbone, Nike Fuel Band, and other smart bands collect a huge variety of data. Wearable devices can collect calorie intake, sleep, steps taken,

Big DataWhat is Big Data?

Bid Data extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations,

especially relating to human behavior and interactions.

It can also be defined as:

Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data cu ration, search,

sharing, storage, transfer, visualization, and information privacy.

“

”

As the volume of data keeps growing, the type of data generated by applications becomes richer than before. As a result, traditional relational databases are challenged to capture, store, search, share, analyze, and visualize data.

Jinbao Zhu , Principal Software Engineer, CA Technologies Beijing

http://www.ca.com/us/~/media/Files/Articles/ca-technology-exchange/data-modeling-for-big-data-zhu-wang.pdf

Big Data

Hadoop Apache™ Hadoop® is an open

source software project that enables distributed processing of large data sets across clusters of commodity servers. It is designed to scale up from a single server to thousands of machines, with very high degree of fault tolerance.

HBase Use Apache HBase™ when you need

random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS.

Materials Used

Materials Needed Asus Transformer Prime 4.4

Printer Cable

LAPTOP

Ethernet Cord/Power Cord

Android Studio

Use of Materials

Methodology Creating the coding for the project proved to be a very arduous process.

The data that needed to be moved into the app was the ECG scan itself,

Implementation Using the Asus Tablet the coding embedded into each Android Studio

activity was then ran, debugged, and uploaded from android studio onto the tablet.

After it was finished uploading, the results appeared on the home screen of the tablet entitled, My First App with the android drone as the logo.

Using Android Studio, I added a search and settings button that ran into the Google. Also, I changed the color of the action bar from dark to light.

Future/ Additional Work Add tab bars to the app

Upload ECG scans to the app

References Wearable Technology and Big Data Definition:

Tehrani, Kiana, and Andrew Michael. “Wearable Technology and Wearable Devices: Everything You Need to Know.” Wearable Devices Magazine, WearableDevices.com, March 2014. Web.

Big Data. (2015, July 14). Retrieved from Google: https://www.google.com/webhp?sourceid=chrome-instant&ion=1&espv=2&ie=UTF-8#q=big+data+definition

Apple, Fit bit, Jawbone, Nike Fuel Band: Fitbit Charge HR Wireless Heart Rate, Activity & Sleep Band. (2015, July 20). Retrieved from Dick's Sporting Goods:

http://www.dickssportinggoods.com/product/index.jsp?productId=50770466&camp=CSE:GooglePLA:50770466:19842489:ELECTRONICS&CAGPSPN=pla&CAWELAID=120138600002856996&catargetid=120138600003320554&cadevice=c

http://www.apple.com/watch/technology/. (2015, July 20). Retrieved from http://www.apple.com/: http://www.apple.com/watch/?cid=wwa-us-kwg-watch-com

Nike+ Fuel. (2015, July 20). Retrieved from FuelBand - Nike: http://www.nike.com/us/en_us/c/nikeplus-fuel

UP DEVICE. (2015, July 20). Retrieved from Jawbone: https://jawbone.com/up/devices

 

Big Data Picture: BIG DATA SERVICES. (2015, July 14). Retrieved from Crest Development Inc.: http://www.crestdevelopmentinc.com/big-data.html

The End

Karyn M. Cole

Dr. Denise Ferebee

ITEC499 Academic Summer Internship

July 30, 2015