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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...
... middle of paper ...
...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
The first database systems were based on the network and hierarchical models. A database can be defined as a collection of non-redundant data which can be shared by different application systems. A database implies separation of physical storage from use of the data by an application program to achieve program/data independence. Using a database system, the user or programmer or application specialist need not know the details of how the data are stored and such details are usually "transparent" to the user. .
Databases always used to fascinate me from my under graduation with great curiosity to know how large data is managed and queried. This led me to do Masters in computer science concentrating in the field of Data Management. In the course of my study, I understood the concepts of DBMS which provides a robust and efficient way of managing and mining data. Through the courses like Database Systems (ITCS 6160), Knowledge Discovery in Databases(ITCS 6162) and Knowledge Based Systems(ITCS 6155) I gained enough theoretical and practical knowledge about the importance of proper organization of data, good techniques to build an efficient database management system and how well the data can be managed.
Most modern science fiction portrays some form of database. From simple text-based systems to complex virtual reality environments, the way information is retrieved from these databases often reflects trends in database management systems. The library computer system seen in "Star Trek: The Next Generation" (ST:TNG) offers an excellent example of a database that both reflects contemporary technologies and illustrates accurate predictions in the development of those technologies.
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.
The system should be able to incorporate more data storage space with minimum down time.
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.
Next, we will talk about how databases are useful. Databases are mainly useful because they can store a large number of records or ...
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).
“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.
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.
So in closing I would like to say that I’ve learned a lot from this report and gained a profound new understanding of how much databases are connected to daily running of the sites, services, and ordinary things that we take for granted in our daily life.
Dr. Edgar F. Codd was best known for creating the “relational” model for representing data that led to today’s database industry ("Edgar F. Codd") (Edgar F. Codd). He received many awards for his contributions and he is one of the many reasons that we have some of the technologies today. As we dig deeper into his life in this research paper, we will find that Dr. Edgar F. Codd was in fact, a self-motivated genius.
The invention of the Internet has been an absolute game changer in the world of business. We live in the information age or era of big data. So how do businesses utilize endless pages of compiled data in an effective way to make crucial business decisions? The tool used to make sense of the data businesses use is called a database. A database, to put it simply, is a structured set of data held in a computer. Databases allow us to store huge amounts of information, and they grant us access to all information almost instantly constructed well. Essentially a Database Administrator (DBA) uses computer software and computer logic to help companies organize massive amounts of data with quick speeds. And these programs need to run smoothly
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.
It has been optimized to provide consistent performance with minimal impact as users are working concurrently or if more users are added. The proposed solution does not impose limits to the number of system users that can be added, once the software, hardware, network, and accompanying RDBMS are properly configured to support the growing number of concurrent users.