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When creating a database, it makes sense to accept the defaults of unlimited file growth in 10% increments. This is especially crucial to the transaction log, as changes cannot be made to the data of a database with a full transaction log. A maintenance plan can be set up to periodically shrink files. Transaction log files are initially created by default to be 25% of the size of the data files. This default should be accepted unless the database data will have an unusually low number of changes, in which case a smaller transaction log file would be appropriate. This paper provides a comprehensive review onsecurity towards sql server database.

Finance is the lifeblood of business concern, because it is interlinked with all activities performed by the business concern. In a human body, if blood circulation is not proper, body function will stop. Similarly, if the finance not being properly arranged, the business system will stop. Arrangement of the required finance to each department of business concern is highly a complex one and it needs careful decision. Quantum of finance may be depending upon the nature and situation of the business concern. This paper provides a brief review on the sources of finance.

The SQL Server Database Engine divides each physical log file internally into a number of virtual log files. Virtual log files have no fixed size, and there is no fixed number of virtual log files for a physical log file. We recommend that you assign log files a size value close to the final size required, and also have a relatively large growth_increment value. SQL Server uses a write-ahead log (WAL), which guarantees that no data modifications are written to disk before the associated log record is written to disk. This maintains the ACID properties for a transaction. This paper provides the information about architecture and editions of SQL SERVER.

Financial planning and decision play a major role in the field of financial management whichconsistsofthemajorareaoffinancialmanagementsuchas,capitalization,financial structure, capital structure, leverage and financialforecasting.The term capital refers to the total investment of the company in terms of money, and assets.Itisalsocalledastotalwealthofthecompany.Whenthecompanyisgoingtoinvest large amount of finance into the business, it is called as capital. Capital is the initial and integralpartofnewandexistingbusinessconcern. This paper provides an overview on the types of capitalization.

Financialmanagementisanintegralpartofoverallmanagement.Itisconcernedwiththe dutiesofthefinancialmanagersinthebusinessfirm.Thetermfinancialmanagementhasbeendefined bySolomon,"Itisconcernedwith theefficientuseofanimportanteconomicresourcenamely,capitalfunds".Thus, Financial Management is mainly concerned with the effective funds management in the business. In simple words, Financial Management as practiced by business firms can be called as Corporation Finance or Business Finance. This paper provides the approaches and objectivestowards financial management.

Artificial intelligence (AI) and machine learning are being rapidly adopted for a range of applications in the financial services industry. As such, it is important to begin considering the financial stability implications of such uses. Because uses of this technology in finance are in a nascent and rapidly evolving phase, and data on usage are largely unavailable, any analysis must be necessarily preliminary, and developments in this area should be monitored closely.

Artificial Intelligence is becoming a popular field in computer science as it has enhanced the human life in many areas. Artificial intelligence in the last two decades has greatly improved performance of the manufacturing and service systems. Study in the area of artificial intelligence has given rise to the rapidly growing technology known as expert system. Application areas of Artificial Intelligence is having a huge impact on various fields of life as expert system is widely used these days to solve the complex problems in various areas as science, engineering, business, medicine, weather forecasting. The areas employing the technology of Artificial Intelligence have seen an increase in the quality and efficiency.

Presently, no computer systems show total artificial intelligence (that is actually, can simulate individual behaviour). The greatest innovations have developed in the business of activities participating in. The very best computer mentally stimulating games plans are currently efficient in pounding humans. Today, the trendiest area of artificial intelligence is neural networks, which are confirming successful in a lot of disciplines like vocal recognition as well as natural-language handling. Numerous computer programming languages are known as AI foreign languages given that they are used almost solely for AI applications. The 2 most common are LISP and also Prolog. Artificial intelligence is working a lot in reducing human initiative but along with a lot less development.

In addition to the advancement of the web, safety, as well as protection, came to be significant stress. Additionally, the background of security allows a much better understanding of the look of safety advancement. The net structure, on its own, enabled lots of safety threats to happen. The type of the world wide web, when regulated, can easily decrease the practical assaults that could be delivered throughout the network. Recognizing the strike techniques permits appropriate surveillance to surface. Many companies protect on their own, coming from the internet using firewalls in addition to the shield of encryption devices. Businesses make an "intranet" to keep connected to the internet but gotten from possible threats. This paper briefly discussed about the security threats, security vulnerabilities and advance network security policies.

Artificial Intelligence in computer technology is the location of smart design makers with the ability to perceive the atmosphere with activities such as viewpoint, finding out and also reasoning, and take actions that optimize their possibility of effectiveness at some target. It is the research of just how to qualify the computer systems to make sure that they can do traits which presently human can do better. The subdomain of Machine Learning (ML) progressed from data analytics and pattern recognition. It infers models coming from data flows by combining their historic relations (commonly featuring concealed patterns) and their contemporary designs. This paper provides the architecture and components of cloud-based ML framework.

Data mining is considered as a vital procedure as it is used for locating brand-new, legitimate, useful as well as reasonable kinds of data. The assimilation of data mining methods in cloud computing gives a versatile and also scalable design that can be made use of for reliable mining of significant quantity of data from virtually incorporated data resources with the goal of creating beneficial information which is useful in decision making. The procedure of removing concealed, beneficial patterns, as well as useful info from big data is called big data analytics. This is done via using advanced analytics techniques on large data collections. This paper provides the information about big data analytics in intra-data center networks, components of data mining and also techniques of Data mining.