"Business Intelligence Tools" Please respond to the following:
Business intelligence tools are considered the key drivers for many organizations.
Identify and evaluate at least two business intelligence tools that could be effectively used to report business performance. Justify your response.
Estimate the costs and describe the values of the two business intelligence tools you have identified from Part 1 of this discussion based on their functionality, integrating architecture, and benefits to the enterprise. Provide your rationale.
Classmates:
Databases do accumulate remarkable volumes of information. To this end, explicit bits of information stored in these databases are retrieved by queries scripted in a certain interface language, for instance Microsoft's SQL.
Database optimization therefore entails making the best use of the efficiency and speed with which information is accessed (Jayakody et.al, 2016). Articulate design that judiciously addresses purposeful requirements is the basis of performance optimization.
Google handles vast repositories of data, to optimize such data for fast and efficient retrieval. GoogleTM utilizes a blend online and offline optimization techniques to achieve such objectives as improving throughput, lessening dormancy, reducing resource conflict issues, making the most of the effectiveness of memory caches and excluding redundant work in distributed systems (Lohman, 2014).
The use of online algorithms, control theory and combinatorial optimization, in a distributed feedback control system to manage the mode in which queries are distributed and disseminated to operator machines, so as to balance capacity better by exploiting real-time content information on the operators
Some common SQL optimization techniques include use of indexes, this parameter accelerates the SELECT operation that permits to read information from the database, and nonetheless, they can equally delay functions that permit editing of information.
Another optimization technique SQL utilizes is construction of queries. Queries can equally realize faster outcomes, as well (Jayakody et.al, 2016). Database analysts and Administrators endeavor to augment their servers' information access ways and means including retrieval intervals via methodical design methods, statistical study and checking of system traffic.
Examples of database statistics include, response time analysis, user traffic resilience, database, transaction or query throughput manageability, query execution performance as well as resource metrics the includes buffer pool usage and connections.
A practical example is with how GoogleTM monitors its data retrieval and access analytics, and with this metrics, it is able to refine and upgrade the content of the information being sought after, for instance, the Google Scholar application is reviewed all the time to upgrade new published books, peer-reviewed journals and patents.
References
Jayakody, J. A., Murray, I., Herrmann, J., Lokuliyana, S., Kandawala, D. S. A., & Nanayakkara, S. E. C. (2016, March). A database optimization model with quantitative benchmark. In Computational Techniques in Information and Communication Technologies (ICCTICT), 2016 International Conference on (pp. 286-291). IEEE.
Lohman, G. M. (2014, April). Is query optimization a "solved" problem. In Proc. Workshop on Database Query Optimization (p. 13). Oregon Graduate Center Comp. Sci. Tech. Rep.