data management

The Emerging Data Economy {2}

by Allen D
I chose the article, “Data Markets: The Emerging Data Economy”, by Gil Elbaz because I found it interesting for him to talk about the emerging economy relative to massively increasing data and how this impacts our market. As of today, companies such as Salesforce.com, InfoChimps.com and DataMarket.com are selling data for money. The data market is one the rise with many large and small companies moving in. Although some people find this predicament to be a breach of privacy and security, companies with big data try to mitigate this negative perception by outsourcing their data to a third party that specializes in creating value from their existing data. As a result of this trend, new data markets and economies continue to rise; thus, price of data become more affordable to these people. One such example includes a company called Kaggle. They are basically a group of data scientists who compete with one another while analyzing outsourced data from companies, government and researchers. Their job is to study the data that was given to them by these entities and come up with solutions to their problems. Before devising a solution, they must have the ability to forecast predictions using these data sets from their vendors. These problems range from economics, governmental and sociological. read more...

Getting Top Quality Data for your Database {1}

by Leonardo S
The article I chose for this week is titled “Managing Data Source quality for data warehouse in manufacturing services”. The main topic of the article is focused around data quality. According to the article, one of the primary success factors of a data warehouse is the quality of the data. There are a few downsides from getting low quality data. Often times someone will have to go back into the database and fix the mistakes. This can take a lot of time and effort which could better be spent on other projects. Another flaw that comes from having bad data is that your data analysis will be all wrong. Database analysts will end up wasting even more time reviewing the data again after it has been fixed. The article mentions a few ways to reduce the amount of low quality data going into your database. Two methods of doing this are Total Data Quality Management and Quality Management System requirements. From what I understand, these are guidelines for collecting and inputting data that helps limit the amount of low quality data. read more...

Data Management for Science Field {3}

by Tseng H. K.
The journal I read this week is called “Portable Data Management Cloud for Field Science” by Yuma Matsui and Aaron Gidding. The author basiclly talks about how data portability and accessibility important in modern science field, espcially in archaeology. These days, cloud computing system has provide great computing infrastructure for many scientific fields that have to work both in field sites and the lab.Moreover, data portability brought the fields with great accessibility for their data. The author talks about how efficiently exchange their data for analysis between work sites and their lab via portable data management system. read more...

Big Data.. .the new job source??? {3}

by Claudia J
I picked the article that talks about how the big data boom is expected to generate large numbers of IT jobs in the US by 2015. According to Gartner, an IT researcher, predicted that there will be around 1.9 million more IT jobs but the unfortunately the issue will be that there aren’t enough trained people to take over the jobs. read more...

Moving to “Private Clouds” {2}

by Claudia J
The article that I read about was about private cloud computing and how it is something that enterprises will start to consider in a near future in order to have their data backup data information in-house instead of letting it be managed by an outside company. However, moving into private clouds has challenges such as operational and management issues which companies need to take into consideration before making the switch. The article explains how companies wanting to move to private clouds implementation needs to have a budget because it will require time for internal setup, IT training or hiring someone that has been exposed to clouding computing to perform the implementation process for the company. The main purpose of private cloud is to reduce costs and improve data access/backup efficiency. It is indeed important to have the IT management team be very sharp in server virtualization to be able to take advantage of all the things that private clouds offer. read more...