Data Archive

The Rise of Data: How it affects you!

by Evin C
In this world, the concept of data and data storage has become a rising trend in all aspects of society from personal use to full blown companies and organizations. This article brings to light a few key points about the world as of today, stating that “the creation, transfer, and storage of global data has exploded in the Digital Age” and continues to reference the growing needs for data and data management. Broadcasted projections have been shown and they show  that “going forward, globally generated data is expected to grow by 40 percent annually”. With this finding, one might assume the expenses of a market growing this size would correlate with that data, but in this case “IT spending is tipped to increase by just 5 percent each year.” Only a 5 percent increase is projected with all the growth in this industry. Attached is an infographic showing just how impactful data management is to multiple aspects of society and how reliant we are on these concepts. read more...

Should We Update Electronic Privacy Act

by Jintien C
This article is about Electronic Communications Privacy Act(ECPA). ECPA was introduced in 1986, but since then it has not been changed a lot. Technology has brought many different ways that people communicate such as cell phones, search engines, social networking sites and so forth. In the meanwhile, these technologies also help and gather more user’s information to the government. One of big reasons that ECPA has not been updated is discouraged from law enforcement agencies. On the other end, the Electronic Frontier Foundation (EFF) and several other activist groups are trying to push ECPA reform. read more...

Death, Taxes….Data Retention.

by Caezar M

We often take for granted the fact that the internet is widely avaliable everywhere and from many places and locations, we may also take advantage of the anonanymity the internet provides from time to time. but have you ever had the sneaking suspicion that you are being watched? well you are, passively anyway. every time you go online and visit a web page you are leaving a digital signature that you have been there. To that you might say “so what, IPs are not regulated, they are always changing, that could be anyone.” but the truth of this is that dynamic IPs are tied in with subscriber accounts so they might not know who you are directly, but with they can find out with relative ease. so whats in these records that your ISP is collecting? The Truth, nobody knows, it could be anything it could be as simple as the name of the website you visited and at what time or as detailed as the actual contents of your emails.  Now this wold not be so bad if we knew that they were just in storage and they could not be used against us. The truth behind that is all this data is subject to subopena and disclosure without informing the user. there have been new strides to regulate the ammount of data and the time period in which it is stored (HR 1981). unfortunately this works more towards the benefit of law enforcement. read more...

Advancement in Data Modeling

by Joey L
This article focuses on why technical architects and data modelers should adapt and evolve their current modeling practices to an agile data-modeling scheme.  Modelers most likely would believe that when building a data model, they should design and implement every single aspect of the model before building software that uses its resources from the data.  In agile data modeling, however, vastly changes how data models are implemented.  Agile modeling takes on an increment development activities on modeling.  Models are first simply designed efficient enough to allow incremental development in the future.  Only the basic framework of the design is developed to support the current development of the project.  Details of the model that are not immediately needed is often omitted by an agile modeler.  By following this scheme for modeling development, only the intended purpose of the model is produced. read more...

Importance of Data Modeling

by Peter C

According to Data Modeling isn’t Dead article, it said that data modeling is very important. In the early 1980s, data modeling was very important because it was used for most project development. In order to create a business, data modeling was necessary because it was used as an outline. Just to start the company, it will need entities, relationship, and primary key. The best way to start a data modeling will be to create an entity relationship diagram. That will let the people see how the company is supposed to be run.  This is the most important model because it will show a complete picture of the operation. However, this is very time consuming which is why not every enterprise will use it. Not a lot of company would want to spend a ton of money on using this model which gives data modeling a bad name. read more...

Analyzing Geographical Data with Relational Databases

by Joe C

This article talks about the use of relational databases to analyze the geographical data between multiple profiles. Many databases are currently not utilizing this type of information correctly, as they do not have the correct software needed. With the right software, it can potentially calculate customer base density of an area, the distance between multiple customers, and other spatial information analysis. To start off, geocoding data is data on the locational points on earth. When customers provide this information, the database will know exactly where each customer is coming from. By cross-referencing this data between multiple customers, users can figure out multitudes of information through both simple and complex algorithms. Examples of geocoding data customers usually provide include street address, city, ZIP, and state. Latitude/Longitude coordinates may be given directly by the customers or retrieved with the previously listed data. As for relational databases, there needs to be unified formats such as choosing between degree-minute-second or decimal degree formats. In addition, performance becomes a great issue once the amount of data scales to large numbers so that even the simplest calculations being iterated millions of times becomes a great workload to watch out for. read more...

Too Much Data?

by Joey L

The amount of data created in the world is growing at an exponential rate every day.  Statistical information shows that in 2010, the amount of data information in the world has grown over a zettabyte in size.  This is equivalent to one trillion gigabytes of information! Millions of data information is retrieved and inputted into the server systems every day.    For example, Facebook has over 700 million active users on its social network.  On average, the community of users creates 30 billion pieces of content over the web.  These range from posts and messages to photo and video content.  Another active social network such as Tweeter, which serves about 200 million users, is also creating an excess amount of data.  Statistics shows that on an average day, Twitter creates over 12 gigabytes of data through its system.  Other communities like Boeing, create 10 terabytes of data every 30 minutes.  The volume of data is growing beyond what was intended.  With so much big data moving across the network every day, there is a need to create a new system that is more efficient and lower cost than the current open source software, Hadoop.  With so much data creating every day, there will need to be a further advancement in data integration and database systems. read more...

Data Mining in Social Media

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...