Similarities Between OLAP And ORDBMS

An ORDBMS is more advanced than a simple RDBMS since the user can also create reports.

Since 1960 and beyond the need for an efficient data management and retrieval of data has always been an issue due to the growing need in business and academia. To resolve these issues a number of databases models have been created. Relational databases allow data storage, retrieval and manipulation using a standard Structured Query Language (SQL). Until now, relational databases were an optimal enterprise storage choice. However, with an increase in growth of stored and analyzed data, relational databases have displayed a variety of limitations. The limitations of scalability, storage and efficiency of queries due to the large volumes of data [1] [2].

When it comes to customers, the use of relational database management systems can help in linking various features of business electronically, like connecting a customer with specific product

A relational database Management system (RDBMS) is the physical and logical implementation of a relational

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.

A database management system is normally an integral part of a database system. Microsoft Access is an example of a popular DMBS designed with the small business user in mind. Microsoft's SQL Server on the other hand is an example of a DBMS that has the ability to serve database requests from multiple clients or users. One of the first DBMSs was IBM's Information Management System (IMS). As IBM proved, a DBMS might be utilized by or collectively

The object oriented DBMS is superior to the relational database on some specific counts, primarily because it can satisfy the complex demands of the market today better than the any other. Secondly while the relational data base stores data as tables, the object model stores data as objects and creates associations. This can create a multiple set of attributes for each object such that the data base is more flexible to the requirements that may be housed for different sets of data having both similar and dissimilar characteristics. The paradigms then are developed for each set of common characteristics and unique characteristics of the objects which is not possible in a relational database that has a very rigid structure. (Bruegge, 2004)

Senior Analyst with 4 years of experience in Financial, Retail and Shopping domains. Extensive experience working with enterprise level data warehouses, ETL tools and writing advanced SQL queries including OLAP Cubes functionality across various RDBMS platforms (SQL Server, Teradata, Oracle & DB2).

Database Management System plays a vital role in most of the real world applications that require storing and retrieving data. Database Management Systems are the most reliable means to organize data. DBMS organizes data into collections from which data can be searched or updated to. There are many different forms and types of DBMS products available in the market each having their own pros and cons. The main DBMS products that are available in today’s market are Oracle 11g, Microsoft SQL Server 2012, IBM DB2 and MySQL 5.5.

For a typical organization today, sources of data may – and most likely do – come in many different formats. As an example, Han, et al. (2012) states, the types of data sources that generate huge amounts of data is endless and include and are not limited to: databases, other data warehouses, data marts, the Web,

Database Management Systems or DBMS’ are essential software’s for databases that take in information to be processed, organized, and analyzed. DBMS’ play a significant role in many things we interact with on the daily like the internet. DBMS’ can be on a small scale for individual use or on a larger scale for a company looking to keep track of all the data they collect.

The ever-widening realm of big data has created an expanding frontier of exploration for the creation of new methods of data analysis in order to produce actionable knowledge for the benefit of organizations everywhere. Companies amass enormous troves of data every day. Keeping this data housed in a fashion that maximizes storage efficiency and in a format optimized for query and analysis is paramount for effective data warehousing. Many database structures exist for the storage, arrangement, and accessing of data, but large databases and online analytical processing (OLAP) benefit from specific qualities. In these databases, compression and rapid querying are the main enabling qualities sought for analytical data stores and data warehouses. Columnar (or column-oriented) relational databases (RDBMS) offer these and other benefits, which is why it is a popular database scheme for analytical systems. Specifically, the vertical arrangement of records is optimal for selecting the sum, average, or a count of total record attributes because one horizontal read yields all values of an attribute. Otherwise, a physical disk must seek over and past unwanted attributes of the records to provide the same

Pentaho, an organization founded in 2004, provides open source Business Intelligence (BI) suite. They provide two kinds of editions, one is Enterprise edition and the other is Community edition. The difference between an Enterprise and Community edition is that the Enterprise edition has more features to offer to the users than the Community edition. Like all other ETL tools, Pentaho also runs on Java. Here, the storage and transformation are done separately and are stored in XML format. The Pentaho Business Analytics suite offers products which are helpful in data integration (ETL), OLAP, reporting, dashboards, and data mining. These products can be classified as Server applications, Desktop/client applications and Pentaho

As technology is rapidly emerging and changing, organizations are quickly adapting to it, and with this technology and software advancement includes database management systems. Database management systems have become a crucial tool in every organization. It will be rather more surprising to see a company not using DBMS in this age. As organizations emerge and grow by years, they have numerous data sets to handle and database management systems is a software application which helps organizations perform this mundane task easily. It collects, organizes the databases and also stores and performs functions on the databases making it easier for users to access. Now days, an organization wouldn’t survive without data and information. The way this data is important for an organization, to manage this data is equally important. Database management systems has become a part of every field right from schools, libraries, medical centers, airlines, chemical plants etcetera. With the effective use of database management systems software in organizations, it comes with advantages and disadvantages which will be later explained in the findings section of this paper.

database management system in which all the collected information about data can be represents in the form of object and this used in object oriented programming. Object databases are unlike from relational databases which are table-oriented.