database

Examples of database in the following topics:

• Databases

  • In market research, databases contain information that is collected, aggregated, and used to define segments of homogeneous consumers.
  • In market research, a database contains information that is collected, aggregated, and used to define segments of homogeneous consumers.
  • Marketers can use database research to identify common buying patterns among consumers.
  • Lists that can be found in existing databases include: credit card holders, smokers, drinkers, car buyers, video buyers.
  • Database research is considered an extremely helpful tool in market segmentation research.

• When to think about using database management software

  • Karen Stille placed a good comparison of the features of database and spreadsheet software a website, QCISolutions.
  • "As a general rule of thumb, databases should be used for data storage and spreadsheets should be used to analyze data.
  • "In most cases, using the combination of a database to store your business records and a spreadsheet to analyze selected information works best".
  • On the other hand, open source database management software is also available at no cost to you.
  • The open source databases are just as useful, but finding information and support can be a more tedious process.

• Issue Manager

  • Helps alleviate these problems by watching what goes into the database, and periodically sweeping through it looking for specific problems.
  • Obviously, the more familiar an issue manager is with the project's bug database, the more efficiently she will be able to detect duplicate tickets—this is one of the main advantages of having a few people specialize in the bug database, instead of everyone trying to do it ad hoc.
  • When the group tries to do it in a decentralized manner, no single individual acquires a deep expertise in the content of the database.
  • Depending on how your project uses the ticket tracker, issue managers can also shape the database to reflect the project's priorities.
  • This, again, is best done by people who have an overall sense of what's in the database, and how various tickets relate to each other.

• Types of Material in a Library

  • Now, libraries have resources such as e-books and online databases which are not limited to physical locations within the library.
  • Databases, in particular, are useful for researchers because they allow you to search for information by topic, category, author, date or other useful traits.
  • Databases may specialize in a certain field such as medicine, business, or engineering.
  • These databases provide access to not only historical information, but also information that is not easily found through search engines like Google.
  • The in-depth and historical information makes these databases one of the most valuable resources in the library.

• Pre-Filtering the Bug Tracker

  • Most ticket databases eventually suffer from the same problem: a crushing load of duplicate or invalid tickets filed by well-meaning but inexperienced or ill-informed users.
  • In the meantime, though, the project needs to keep the ticket database as free of junk as possible.
  • The essential idea is that every new ticket gets "buddied" into the database.
  • The buddy system can really keep the ticket database clean, but it has some disadvantages too.
  • Thus it is still necessary for volunteers to watch the ticket database.

• Finding Materials in a Library

  • You can go to the library computers which are linked to the library database of material.
  • To use the library's digital materials, such as e-books or subscription-based databases, you need to use one of the library's computers.
  • The library computers should provide links to different databases with a brief description of what the database is good for.
  • Then, you can go to the database and search the materials just as you would on Google.

• Version Control and Bug Tracker Access

  • For many people, an accessible bug database is one of the strongest signs that a project should be taken seriously: the higher the number of bugs in the database, the better the project looks.
  • A project with a large and well-maintained bug database (meaning bugs are responded to promptly, duplicate bugs are unified, etc.) therefore makes a better impression than a project with no bug database, or a nearly empty database.
  • Of course, if your project is just getting started, then the bug database will contain very few bugs, and there's not much you can do about that.
  • But if the status page emphasizes the project's youth, and if people looking at the bug database can see that most filings have taken place recently, they can extrapolate from that the project still has a healthy rate of filings, and they will not be unduly alarmed by the low absolute number of bugs recorded.

• Scholarly Sources

  • Popular scholarly databases include JStor, Project Muse, the MLA International Bibliography, Academic Search Premier, and ProQuest.
  • These databases do charge a fee to view articles, but most universities will pay for students to view the articles free of charge.
  • Ask a librarian at your college about the databases to which they offer access.
  • Most journals will allow you to access electronic copies of articles if you find them through a database.
  • If an article is listed in a database but can't be downloaded to your computer, write down the citation anyway.

• Bioinformatic Analyses and Gene Distributions

  • Bioinformatics also deals with algorithms, databases and information systems, web technologies, artificial intelligence and soft computing, information and computation theory, structural biology, software engineering, data mining, image processing, modeling and simulation, discrete mathematics, control and system theory, circuit theory, and statistics.
  • At the beginning of the "genomic revolution," the term bioinformatics refered to the creation and maintenance of a database to store biological information like nucleotide and amino acid sequences.
  • Development of this type of database involved not only design issues but the development of complex interfaces whereby researchers could access existing data as well as submit new or revised data.

• Mapping Protein-Protein Interactions

  • The identity of the protein associated with a given bait protein is determined by comparing its peptide fingerprint against available databases.
  • Results collected from binary and co-complex experiments are documented into a database.
  • There are many databases accessible online that allow for protein clustering by function and nature of interaction and provide a rich framework for biomedical research.