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Data analytics and mash-up Real time analytics of employment data Team Shadowfax 1/25/2016 CMPE 272 - Class Project 0.

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Presentation on theme: "Data analytics and mash-up Real time analytics of employment data Team Shadowfax 1/25/2016 CMPE 272 - Class Project 0."— Presentation transcript:

1 Data analytics and mash-up Real time analytics of employment data Team Shadowfax 1/25/2016 CMPE 272 - Class Project 0

2 Agenda What are data analytics and mash-up? Architecture of web mash-up Implementation Implementation architecture How is it going to be useful to the user ? 1/25/2016 CMPE 272 - Class Project 1

3 Data analytics and mashup Data Analytics is examining of raw data from which we can retrieve the information after work around with the data In the data analytics there is no assumption of data unlike data mining where little adjustments are made to draw conclusion Includes data cleaning, transformation and documentation Data from different data sources are analyzed and converted into information after which all the information from different sources are clubbed together into a single data source and presented to the user in a useful fashion. 1/25/2016 CMPE 272 - Class Project 2

4 Data/Web mash-up Data mashup is data integration of structured, web & unstructured information available freely on different sources More and more reusable structured data appears on the Web. Users want to extracts related data from various resources and combine in a human readable format, such as HTML, PDF, or text Challenges: Structured, unstructured data is available on multiple public resources in various formats. There is a file format mismatch, schema mismatch, data representation mismatch. Hence first challenge is to extract this data into common data format. 1/25/2016 CMPE 272 - Class Project 3

5 Architecture of web mashup The basic idea is to extract, analyze, aggregate and visualize. Divided into three layers: Presentation : This is the user interface of mashups. The technologies used are JSP, HTML, and JavaScript Information Extraction and delivery : The functionality to access data through APIs (LinkedIn or any other APIs)is provided using API service Data : Data is retrieved from various open data sources and is managed in a database 1/25/2016 CMPE 272 - Class Project 4

6 Implementation Idea The basic concept – System facilitating user to search for labor stats and related jobs Data Scavenging Exemplifying application – Need for data. Employment/Unemployment Data o Wdie range of data pools o Various granularity level of data o County specific data Zip code – County connectedness Job related data 1/25/2016 CMPE 272 - Class Project 5

7 Implementation Data Transformation & mashing Connecting 2 databases Simple Java Parser Implementation Loading final structured data into MySql. Information staging Shaped up data presentation to the user. o J2EE o MySQL o JS & REST API 1/25/2016 CMPE 272 - Class Project 6

8 Implementation architecture 1/25/2016 CMPE 272 - Class Project 7

9 How is it going to be useful to the user ? The information is presented to the user using a web page and is available to the user on the web any time from any place The information available with Linked In requires the user to be a registered user with them to share the job listing information with the user User would be able to search for a job based on his preference of region,climate and others 1/25/2016 CMPE 272 - Class Project 8

10 References http://www.bls.gov http://www.populardata.com http://developer.linkedin.com http://birming.jvmhost.net 1/25/2016 CMPE 272 - Class Project 9

11 Thank You! Demo 1/25/2016 CMPE 272 - Class Project 10

12 Q&A 1/25/2016 CMPE 272 - Class Project 11


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