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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
...s passage he references “scientists” as the information source, but does not cite any specific people or research.
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
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.
Almost all commercial database systems available today are designed to provide a high level of performance to its users. Nonetheless, Database Performance Tuning for large volumes of data is an arduous task. Even minor changes can bring about a substantial impact (positive or negative) on the performance of the system (KOCH, 2014).
[7] Elmasri & Navathe. Fundamentals of database systems, 4th edition. Addison-Wesley, Redwood City, CA. 2004.
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.
Databases are becoming as common in the workplace as the stapler. Businesses use databases to keep track of payroll, vacations, inventory, and a multitude of other taske of which are to vast to mention here. Basically businesses use databases anytime a large amount of data must be stored in such a manor that it can easily be searched, categorized and recalled in different means that can be easily read and understood by the end user. Databases are used extensively where I work. In fact, since Hyperion Solutions is a database and financial intelligence software developing company we produce one. To keep the material within scope I shall narrow the use of databases down to what we use just in the Orlando office of Hyperion Solutions alone.
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.
Oracle's relational databases represent a new and exciting database technology and philosophy on campus. As the Oracle development projects continue to impact on University applications, more and more users will realize the power and capabilities of relational database technology.
“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.
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.
of multiple types of end users. The data is stored in one location so that they
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.