Twitter Bootstrap {8}

by Silva H

Twitter Bootstrap

           Bootstrap was developed by Mark Otto and Jacob Thornton at Twitter in August 2011 as a framework to encourage consistency across internal tools. Before the creation of Twitter Bootstrap, engineers had lot of difficulties to create descent websites and web application. They used various libraries that they were familiar with for interface development; however, there were lot of inconsistencies among the individual applications that made the scaling and maintaining them very difficult. Bootstrap began as an answer to these challenges and quickly accelerated during Twitter’s first Hackweek. read more...

Big Data joined by Nodeable {1}

by Rudy P
I chose to read the article, “Twitter’s Open Source Big Data Tool Comes to the Cloud Courtesy of Nodeable” by Klint Finley. This article gives details of a new Big Data analysis software by Nodeable called StreamReduce. This software is based on a software created by a Twitter owned company called storm. Finley goes on to state, “StreamReduce is essentially Storm hosted in the cloud, with a few extras such as connectors to Apache Hadoop” (Finley, 2012). Nodeable began as a company which developed software for both data management and analysis, however due to market demand they have shifted their attention to analysis. Nodeable is joining an increasingly competitive market where companies such as HStreaming already exists, and possible companies such as Amazon may join in the near future. read more...

Twitter Web Analytics and You {4}

by Alexander H
Web Analytics is the measurements, collections, analysis and reporting of understand and optimizing web usage. With that said, they provide a significant role in an e-business and the amount of traffic they receive. Twitter, one of the most popular and largest social media sites, has recently announced a new Web Analytics service that will evidently tailor to a larger audience. Google Analytics was originally used to determine the flow of traffic, but the path was not evident. The new Web Analytics software Twitter plans to implement will allow you to see who is sharing your site content and how. “This opens up new possibilities, such as launching incentive and affiliate programs, which would have been impossible to implement in the past” (Angela West). This tool will ultimately measure the effectiveness of a business’ Tweet button integration and how often its content is mentioned or shared in tweets. read more...

Social Network Face Book and Its Data Warehouse {Comments Off on Social Network Face Book and Its Data Warehouse}

by Tuyen H

         This article talks about MapReduce (MR) platform with parallel data access. MapReduce is introduced by Google in 2004 for supporting multiple accesses of data. It has been written in many languages such as C++, C#, Java, and even PHP. Famous Social Network Face Book built its massive data warehouse by using the MapReduce technology. The authors also compare the MapReduce technology with database management system (DBMS) “MapReduce complements DBMSs since databases are not designed for extract transform- load tasks, a MapReduce specialty.” Indeed, the combination of MR and DBMS create a powerful of database system. This combination allows big companies to build their database warehouse where they store a lot of information. For example, Face Book store more than 800 million users’ data and information. Google’s data warehouse stores more than 850 TB for supporting user searching. Finally, the authors mention that those technologies are not competition but complementary. 
        This article mentions data warehouse and database technologies such as MapReduce (MR) and database management system (DBMS). Those technologies are really helpful because they allow people to build massive data warehouses. For instance, Google’s data warehouse like a world library; it support business and study around the world. It also likes the world knowledge. In my work place, every time we have questions we “ask” Google. In school, when I research I also “ask’ Google.
        As you know the Jasmine Revolution happened with support of social network like Face Book and Twister. If there are not any database technologies such as MR and DBMS, there is not Face Book or Twister. Therefore, the Jasmine Revolution will not happen.  Data warehouse also use to store much important information that supports government, organization, and education. Imagine that, if the government does not have the database, how can it work? The IRS cannot collect tax. The DMV cannot manage vehicles and so on. I think data warehouse is really helpful, and both RM and DBMS are revolution of the database technology. read more...

Data Mining in Social Media {1}

by Joe C

This article talks about data mining in social media, in which companies such as Facebook or Twitter are able to gather data from their users through the information, posts, and other activities the users provide. This type of information gathering is emerging to become a great source of information on upcoming trends and opportunities, however the data has to be harvested and analyzed correctly. While there is a great deal of information, the amount of useful/relevant information compared to irrelevant noise is as little as 20%. Being this way, these companies have to utilize highly advanced artificial intelligence to sift through the noise and retrieve only the useful information. As technology advances, these AI systems are able to perform tasks such as match newly created profiles to old preexisting users in the database to form a more complete profile of a possible customer. This is very useful as it acts like a real-time automatically updating CRM system. read more...