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Examples of analytical tools in action research?
what are diffrent analytical tools use for action research
What tools do you use in a laboratory?
Examples are: oven, burette, muffle furnace, spectrophotometer, refractometer, analytical balance, stirrer and hundred others.
Distinguish between DBMS and OLAP systems?
DBMS (Database Management System) is software that manages and organizes data in a structured way for efficient storage and retrieval. OLAP (Online Analytical Processing) systems are used for complex data analysis and reporting by providing multidimensional views of data for decision-making purposes. DBMS focuses on data storage and retrieval, while OLAP focuses on data analysis and reporting.
What is the Advantages of OLAP?
The primary advantage of OLAP data storage is better performance for accessing multidimensional data. OLAP systems are also accompanied by calculation engines and data manipulation languages. So a second advantage is that it gives analytical capabilities that are not in SQL or are more difficult to obtain. Finally, if you know how to use it, it is easier to work with multidimensional data in a multidimensional system. There are no table joins, storage is set up to include aggregates along with leaf level data, data is articulated in terms of functional categories (rather than rows and columns, or integer indexes), and so on. This is discussed in, The Multidimensional Data Modeling Toolkit, if you want more information.
Language of analytical chemistry?
Analytical chemistry use the general language of chemistry.
What is the disadvantage of olap?
OLAP, and its reliance on the data warehousing environment, are two of the most significant new technology areas. Moreover, the use of relational design and relational database technology are not feasible implementations to support OLAP design because of the complexity of the queries. The business problem is that OLAP queries are not real-time queries because of the refresh cycle of data into the OLAP data repository. Conventional designs call for integration of data into an operational data store where it can be cleansed, transformed, extracted, & then loaded into the OLAP data repository. This is accomplished through the use of (ETL) tools. The ETL process is generally complicated because data must be integrated and transformed for loading into the nonnormalized relational schema usually associated with OLAP environments. As such, the process can be complicated and time consuming, and with large amounts of data may only occur at monthly or quarterly time intervals. This creates the problem of not having real-time data in the OLAP repository. Real-time data exists in the OLTP environment where the time horizon of data within the OLTP environment is much shorter because performance decreases can occur with growing amounts of data. This is opposite of the nature and goals of the OLAP environment where data is aggregated and the time horizon of data grows to some large amount as determined by the information life cycle policy of the organization. The main problems you have to face using OLAP as a source is that OLAP engines, in general, are designed to return small result sets from highly aggregated data, whereas data mining, in general, is designed to perform operations on large sets of raw (or preprocessed) data. The implementation of OLAP in Analysis Services, requires that all of the result set be materialized in memory before returning to the client. This generally isn't a big deal for typical OLAP queries, but if you are, for instance, trying to mine all of your transaction data for the past 10 years, you will run into difficulties, in short the data gathered may not be (relatively) recent enough to qualify as real-time data for business intelligence purposes.
What is the set of analytical and mathematical tools designed to help researchers gain understanding from the data they gather?
most people in the modern age use a miraculous device called a calculator
Use analytical in a sentence?
"He didn't need a calculator to do math, he has a very analytical mind."
What does analytical factors mean?
Analytical factors are the individual facts and pieces of data you use when analysing a specific thing.
Define analytical research?
Analytical means the researcher use facts and information already available and the analysis and making the evaluation.
How do you weigh .0001g or less?
Use an analytical balance
What is leading out of it?
leading out of it means use analytical language
