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History of database with technology
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History of database with technology
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The Revolution in Database Architecture, by Jim Gray, describes the path that Gray thought that the evolution of the Database Architecture would take after 2004. He considers that databases had been stagnated for several years and that, beginning in 2004, the development of several technologies would pave the way into a revolution in the database world.
The 14 technologies mentioned as the key for the revolution are:
1. The ability to execute Object Oriented code inside the RDBMS.
2. Databases becoming a web service. E.g. a database exposes an interface in the web that allows direct execution of store procedures.
3. Queues becoming an integral part of the Database, therefore allowing Applications to be loosely connected via Queued messages.
4. Cubes and OLAP, providing a simple way to aggregate data.
5. Data mining, to extract patterns and key information from databases.
6. Column stores, providing a more compact way of storing data (for records with many columns, most of them unused)
7. Databases having better support for unstructured data (i.e. Text, Spatial and Temporal data).
8. Semi structured data, for dealing with data that doesn’t “fit” in the relational model.
9. Stream processing, for comparing incoming data about an object against the history of the object.
10. Publish/Subscribe pattern, in which many users subscribe to a data warehouse which publishes the data they need.
11. Query optimizers becoming dynamic i.e. “changing plans as the system load and data statistics change”
12. Database in main memory to circumvent the growing ratio of storage capacity/latency of hard drives.
13. Taking advantage of the CPU’s on most devices to turn them into a small DBMS. This would permit everything to share data w...
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...deserved.
That being said, Gray’s style of writing gets the point across easily. He manages to give the reader a rough idea of how 14 technologies work, the problems they come to solve and how they will revolutionize the database world. Such a succinct writing is commendable.
Concluding Remarks
Gray’s article is interesting. Some of his predictions of the future were off, and he made them seem more transcendent than they actually are. However, predicting the future is no easy task, and Gray did a remarkably good job out of it.
Errors such as fallacies in the middle of a scholarly article are unacceptable. So is not providing references and the source of information used for building the article. PhD or not, Gray shouldn’t have taken this luxury. He should set an example on both of these accounts.
Works Cited
The Revolution in Database Architecture
By doing this he was able to allow to reader to see what was happening to society and the complete control the technology had over us. Bradbury has envisioned the future that still has yet to unfold in the time to
Interestingly enough, both journalists conclude their articles with the uncertainty that goes into their viewpoints. Where will the future take us? We have no idea. Will technology ultimately harm human cognition? We don’t know. We will never know for sure until the time arrives. In the meantime, we can continue to research and speculate, but that is all. Personally, I believe that technology has a significant effect on the human mind. It has come to dominate all aspects of our lives, even our biological processes. Technology is an incredibly powerful tool, and with great power, comes great responsibility.
Now click the “ENTER” key on your keyboard, on your computer is operating in ‘Safe Mode’.
* SmartStream(tm) automatically resumes broken content streams by finding another source for the same content and monitoring the network until the requested content stream becomes available
A database management system, or DBMS, gives the user access to their data and helps them transform the data into information. Such database management systems include dBase, Paradox, IMS, and Oracle. These systems allow users to create, update, and extract information from their databases. Compared to a manual filing system, the biggest advantages to a computerized database system are speed, accuracy, and accessibility.
In 1977, Larry Ellison, Bob Miner, and Ed Oates founded System Development Laboratories. After being inspired by a research paper written in 1970 by an IBM researcher titled “A Relational Model of Data for Large Shared Data Banks” they decided to build a new type of database called a relational database system. The original project on the relational database system was for the government (Central Intelligence Agency) and was dubbed ‘Oracle.’ They thought this would be appropriate because the meaning of Oracle is source of wisdom.
This is a data management issue. Traditional database management systems are not capable of dealing with such continuous high data rate. Novel indexing, storage and querying techniques are required to handle this non stopping fluctuated flow of information streams.
[7] Elmasri & Navathe. Fundamentals of database systems, 4th edition. Addison-Wesley, Redwood City, CA. 2004.
“Everyone thought you guys could not finish it, but you proved them wrong!” our supervisor said with pride after we demonstrated the term project for Object Oriented Programming Language Course. We chose to implement “Video Conferencing on Local Area Network”, while others thought it to be a preposterous choice for two first year students. It was the strongest feeling of achievement I felt that day, which only comes from overcoming a challenge with diligence and hard work. I relived the same feeling for numerous occasions throughout my undergraduate and professional career which justified my decision to take Computer Science as my career path. I am writing this essay to prove my eligibility as a PhD student in Computer Science. I will try to describe my academic background, professional experience, research interest and finally my reasons for choosing to do PhD in Database and Data mining related fields in the next few paragraphs.
of multiple types of end users. The data is stored in one location so that they
In the Orlando office we have three main databases. We have a Microsoft Access Database, a Visual Source Safe database, and a Microsoft SQL server database with a custom web client front end. The Microsoft Access database is fairly simple. We use this data base to keep track of the computer hardware and software configurations that are used when doing quality assurance testing and problem replication and troubleshooting of the software product. For any one product we can have up to twenty or thirty different configurations. Initially keeping track of the configurations along with the machine name and IP address was done on paper with a grid like matrix. After a short period of time, this became extremely time consuming and impractical. A simple database was set up in Access and then the database was shared to allow each user to be able to find out what configuration each computer was in for that day or that week so that the proper tests and or bug reporting could be conducted. The database allows the users to search by software version, platform type, operating system, machine name, IP address, memory size, and several other items that are not as significant. Before the database was created the engineer would have to leave their desk find the chart and to a cross reference using the matrix that was drawn up, and hopefully that matrix was kept up to date. Now as the technicians update or change the machine configurations they can enter that information immediately into the database and it will automatically provide a matrix view or a tabular view for any engineer who needs it.
Dilman, M., Hu, W., Loaiza, J., & Jernigan, K. (2014, April 11). Guide for Developing High-Performance. Retrieved from An Oracle White Paper: http://www.oracle.com/technetwork/database/performance/perf-guide-wp-final-133229.pdf
It simplifies the storage and processing of large amounts of data, eases the deployment and operation of large-scale global products and services, and automates much of the administration of large-scale clusters of computers.
The Database Management System (DBMS) is software that enables the users to define, create, maintain and control the access to the database. It is a software that interact with the user’s applications programs and it database. Meanwhile, information retrieval system is a system that involved the activity that the systems obtain the information. The obtaining information action need the information from it resources.
In our world, people rely heavily on the power of technology every day. Kids are learning how to operate an iPad before they can even say their first word. School assignments have become virtual, making it possible to do anywhere in the world. We can receive information from across the world in less than a second with the touch of a button. Technology is a big part of our lives, and without it life just becomes a lot harder. Just like our phones have such an importance to us in our daily lives, database management systems are the same for businesses. Without this important software, it would be almost impossible for companies to complete simple daily tasks with such ease.