Answer: The tools which are required to accomplish each step in the data management process are:
1. Cloud Data Management tools.
2. Master Data Management (MDM) tools.
3. Reference Data Management (RDM) tools.
4. ETL tools.
5. Data visualization and analytics tools
Explanation:
Cloud Data Management tools with the help of various API's are able to connect multiples system with their data to the cloud. examples are amazon cloud, google API cloud.
MDM tools are used for creation and maintenance of reference data. example are Profisee
RDM tools is used with the MDM tools and are use to define the businesss processes over the reference data. Examples are Collibra.
ETL tools helps to load data of an organisation to data warehouses after transformation and testing the data pipeline constituting the data from different databases.
Data visualization analytics tools helps to extract and generate report from the big sets of data which can help an organisation to take business decisions.
Answer:
1. Credible Websites are Registered with Legitimate Institutions 2. Watch out for Dummy Content for Website Credibility Check 3. Watch out for Scam Advertisements to Verify Website Credibility 4. Professional Designs Mean Everything
Explanation:
Just be honest with your teacher. And say, "I'd rather work on my laptop, cause i feel uncomfortable on one of these computers." And you could say.. " I can save my work on here, so i dont lose anything if that computer messes up."
By negatively influencing data collection, <u>bias</u> can have a detrimental effect on analysis.
In statistical analysis, bias occurs when the data collected is not a true representation of the group under study. Bias occurs due to various mistakes or errors that occur at the time of data collection and sampling.
If a particular data is negatively influenced, then this means that there will be a bias in the expected results. Such a case can be highly detrimental especially if the studies would be implemented for a human issue.
The bias produced by a negative influence will cause errors in the analysis of the data leading to an overall wrong result.
To learn more about bias, click here:
brainly.com/question/24491228
#SPJ4
