After you have finished Big Data labs, continue the work and build your project based on those labs. Find a dataset from a data source (places like data.gov, websites, Twitter, etc.) and download it...




After you have finished Big Data labs, continue the work and build your project based on those labs. Find a dataset from a data source (places like data.gov, websites, Twitter, etc.) and download it to your computer. Use Hadoop and its ecosystem to analyze dataset and extract the necessary outputs from the data source.










You could choose any area including but not limited to:




1.


Forecasting (weather, )




2.


Prediction (stock market, winning numbers for lotto, etc.)




3.


Estimation on % of housing value (decrease or increase in housing market, etc.)




4.


Extracting useful information from your data set (looking for specific files or reports, or pictures, etc.)




5.


Text analytics (finding patterns in a text documents, or specific word or phrase)




6.


Sentiment values of sentences or tweets (+ or – values, happy or sad, good or bad, etc.)




7.


Any other topic of your choice
























ANy one project







Lab: WLAN using OPNET modeler Cloud Computing and Big Data Project This project is a continuation of Cloud or Big Data labs Choose a topic based on either Cloud Computing or Big Data. You can choose one of the two different tracks for your project: 1. Cloud Computing Track: After you have done cloud labs, you can continue the wok and build your project based on those labs 3. Build your own private cloud using Microsoft System Center OR Ubuntu OpenStack in a virtualized environment. Start from the beginning by installing virtualized layer, choose virtualization layer type 1 or type 2, by installing OS above or below the virtualized layer. Install several (don’t need all) components of the cloud, including VMM, Operation manager, configuration manager, etc. Then install and configure Active Directory (AD) either on a VM or on one of your computers, create user accounts and give access and permission to cloud users through AD. Then install and configure all the necessary servers (DNS, DHCP, File, mail, web, and firewall servers) using VMs you have created in your own private cloud. Clearly identify and demonstrate the services you can provide to AD users using your VMs.. 2. Big Data Track: After you have finished Big Data labs, continue the work and build your project based on those labs. Find a dataset from a data source (places like data.gov, websites, Twitter, etc.) and download it to your computer. Use Hadoop and its ecosystem to analyze dataset and extract the necessary outputs from the data source. You could choose any area including but not limited to: 1. Forecasting (weather, ) 2. Prediction (stock market, winning numbers for lotto, etc.) 3. Estimation on % of housing value (decrease or increase in housing market, etc.) 4. Extracting useful information from your data set (looking for specific files or reports, or pictures, etc.) 5. Text analytics (finding patterns in a text documents, or specific word or phrase) 6. Sentiment values of sentences or tweets (+ or – values, happy or sad, good or bad, etc.) 7. Any other topic of your choice Your evaluation: 1. A document: 5-10 pages, clearly explain what your plan is for the project, including, Introduction, objectives, methodology, and expected outcomes. 2. Final Report: 20-30 pages, single space, and font 12, Times New Roman, based on the following information. Your final report should include: 1) Introduction and Background study (2-3 pages, 10 points) 2) Technical details 10 pages, 10 points) 3) Modeling in simulation environment (20 points) 4) Presentation and demonstration (10 points) Please strictly avoid copy and paste from previous year’s projects, or Internet sites such as Wikipedia. This report will be graded critically, and any findings of such might result in losing considerable points to as low as 0. It would be okay to use those sites as resources; however the final work should be your own. You will have several weeks to work on this project, so the final work is expected to possess an in-depth level of technical value in order to receive higher grades. Cloud Computing and Big Data Project This pr oject is a continuation of C loud or Big Data labs Choose a topic based on either Cloud Computing or Big Data. You can choose one of the two different tracks for your project: 1. Cloud Computing Track : After you have done cloud lab s , you can continue the wok and build your project based on those lab s 3 . Build your own private cloud using Microsoft System Center OR Ubuntu OpenStack in a virtualized environment. Start from the beginning by installing virtualized layer, choose virtualization layer type 1 or type 2, b y installing OS above or below the virtualized layer. Install several (don’t need all) components of th e cloud, including VMM, Operation manager, configuration manager, etc. Then install and configure Active Directory (AD) either on a VM or on one of your computers, create user accounts and give access and permission to cloud users through AD. Then install and configure all the necessary servers (DNS, DHCP, File, mail, web, and firewall servers) using VMs you have created in your own private cloud. Clearly identify and demonstrate the services you can provide to AD users using your VMs. . 2. Big Data Track: Aft er you have finished Big Data labs, continue the work and build your project based on those lab s . Find a dataset from a data source (places like data.gov, websites, Twitter, etc.) and download it to your computer. Use Hadoop and its ecosystem to analyze da taset and extract the necessary outputs from the data source. You could choose any area i ncluding but not limited to : 1. F orecastin g (weather, ) 2. P rediction ( stock market, winning numbers for lotto , etc. ) 3. Estimation on % of housing value (decrease or inc r ease in housing market, etc.) 4. E xtracting useful information from your data set (looking for specific files or reports, or pictures, etc.) 5. Text analytics (finding patterns in a text documents, or specific word or phrase) 6. Sentiment values of sentences or twe ets (+ or – values, happy or sad, good or bad, etc.) 7. Any other topic of your choice Cloud Computing and Big Data Project This project is a continuation of Cloud or Big Data labs Choose a topic based on either Cloud Computing or Big Data. You can choose one of the two different tracks for your project: 1. Cloud Computing Track: After you have done cloud labs, you can continue the wok and build your project based on those labs 3. Build your own private cloud using Microsoft System Center OR Ubuntu OpenStack in a virtualized environment. Start from the beginning by installing virtualized layer, choose virtualization layer type 1 or type 2, by installing OS above or below the virtualized layer. Install several (don’t need all) components of the cloud, including VMM, Operation manager, configuration manager, etc. Then install and configure Active Directory (AD) either on a VM or on one of your computers, create user accounts and give access and permission to cloud users through AD. Then install and configure all the necessary servers (DNS, DHCP, File, mail, web, and firewall servers) using VMs you have created in your own private cloud. Clearly identify and demonstrate the services you can provide to AD users using your VMs.. 2. Big Data Track: After you have finished Big Data labs, continue the work and build your project based on those labs. Find a dataset from a data source (places like data.gov, websites, Twitter, etc.) and download it to your computer. Use Hadoop and its ecosystem to analyze dataset and extract the necessary outputs from the data source. You could choose any area including but not limited to: 1. Forecasting (weather, ) 2. Prediction (stock market, winning numbers for lotto, etc.) 3. Estimation on % of housing value (decrease or increase in housing market, etc.) 4. Extracting useful information from your data set (looking for specific files or reports, or pictures, etc.) 5. Text analytics (finding patterns in a text documents, or specific word or phrase) 6. Sentiment values of sentences or tweets (+ or – values, happy or sad, good or bad, etc.) 7. Any other topic of your choice
Nov 29, 2022
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