Database Consolidation Is The Process Of Centralizing And Sharing Of Resources For Multiple Databases

Step 2. Data Analysis: The data will be analyzed to determine database modeling. Step 3. Database normalization: Fields and

# 6: Given a physical database containing tables and relationships and business requirements, create the necessary queries.

Read the textbook. Do research on databases. All answers should be analytical, using IGEA and MLA. Please use own words/original thought, not regurgitation of facts. This is the expectation all year.

This must be in your own words and not copied and pasted from the original source. Include the purpose of the database and the subject matter it covers. This may be four or five sentences; and

A Database Management System or (DBMS) is an essential tool for any organization or company in today’s modern world. A DBMS is “a group of programs that manipulate the database and provide an interface between the database and its users and other application programs” (Stair & Reynolds, 2011, p. 189). So in choosing the right DBMS there are many factoring issues with choosing the right one for the company or organization. When choosing a DBMS one has to think about how the system will ultimately help the company or organization with day to day processes and the goals of the company or organization.

11. Reviewing the TCO’s will also be a great preparation for the final exam which I have listed below for your

There are several important steps to consider when designing a database, as a well-designed database should be deployed and not only support the accuracy and integrity of business information but also avoid redundant data and assist with has enterprise level reporting tasked. If we analyze the

New applications will utilize off-the-shelf software components that have been customized per Riordan’s specifications and further messaged to ensure that each application will integrate smoothly with all the others in order to create a single cohesive whole. Great effort will be made to ensure that the data structures used in each are consistent in order to simplify the creation of the enterprise’s database. To help facilitate this, we will create an umbrella application that will integrate each other system as a module. This umbrella application will be extendable as needed and will act as a single-launch point for the various systems utilized by Riordan. We will also be working closely with Riordan’s IT department to develop a bridge that will enable them to easily port their existing databases into the new one automatically.

A prestigious university has recently implemented a consolidation strategy that will require it to centralize their student records. In order to move forward, the local university will need to develop a data model that will retain student records and perform various data extract transform and load (ETL) processes. As the database consultant it will be necessary to assist with the development of a design strategy for student records. The following has been determined after meeting with various university subject matter experts:

Relational database normalization entails organizing database and it includes the creation of tables as well as relationships establishment between the tables using designed rules intended to protect the data as well as make the database to be flexible. This is achieved through the elimination of redundancy as well as inconsistent dependency. Redundant data is known to waste the space of the disk thereby creating problems of

Efficiency—IT infrastructure resources are pooled and shared across large numbers of applications and organizations, reducing duplication and mitigating costs. It can complement data center consolidation efforts, reducing fragmented data, application, and infrastructure silo issues.

Connolly and Carolyn (2004) define a database as a structureordesign that consists of theclient’s data as well as metadata. It is also a persistent, logicallycoherentrepository of inherentlymeaningful data that is relevant to someaspects of therealworld. The database consists of data organized in a systematicway, anditallowseasy retrieval of information, analysis, updating andoutput of data. Thatdata can be in theform of graphics, scripts, reports, text, tables, andsoon. Most of thecomputerapplications are databases at their core. Manycompaniesusuallyhave a lot of data, andsotheyhavebig databases that can handlethatlargeamount of data. It is wherenothe database administratorcomes into playtopensurepropermanagement of the database sothatthe organizational data is safe from anyintrudersor data corruption (Jones, 2014). The database is whatcontrolsthedata of theentireorganization, andany tampering of the databases can culminate to the stoppage of businessoperations.

This paper will compare and contrast five different database management systems on six criteria. The database management systems (DBMS) that will be discussed are SQL Server 2000, Access, MySQL, DB2, and Oracle. The criteria that will be compared are the systems’ functionality, the requirements that must be met to run the DBMS, the expansion capabilities – if it is able to expand to handle more data over time, the types of companies that typically use each one, the normal usage of the DBMS, and the costs associated with implementing the DBMS.

Data has always been analyzed within companies and used to help benefit the future of businesses. However, the evolution of how the data stored, combined, analyzed and used to predict the pattern and tendencies of consumers has evolved as technology has seen numerous advancements throughout the past century. In the 1900s databases began as “computer hard disks” and in 1965, after many other discoveries including voice recognition, “the US Government plans the world’s first data center to store 742 million tax returns and 175 million sets of fingerprints on magnetic tape.” The evolution of data and how it evolved into forming large databases continues in 1991 when the internet began to pop up and “digital storage became more cost effective than paper. And with the constant increase of the data supplied digitally, Hadoop was created in 2005 and from that point forward there was “14.7 Exabytes of new information are produced this year" and this number is rapidly increasing with a lot of mobile devices the people in our society have today (Marr). The evolution of the internet and then the expansion of the number of mobile devices society has access to today led data to evolve and companies now need large central Database management systems in order to run an efficient and a successful business.

Since the beginning of big data, there has always been an extensive amount of work required of the database administrators that build and maintain their systems. A trending new technology is making great strides as of lately in reducing the repetitive or mundane tasks that take up the employees’ valuable time. The advent of automation in database maintenance has a promising outlook in making regular procedures more efficient.