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.
Software as a Service cloud model is ideal for Rita’s business. SaaS are office solutions that allow Rita’s small business to work more efficiently and in a more organized way. Most SaaS applications are used for invoicing and accounting, sales, performance monitoring, and overall planning. SaaS applications can save Rita money. They do not require the deployment of a large infrastructure at her location. As a result, it drastically reduces the upfront commitment of resources. Whoever manages SaaS’s IT infrastructure running the applications brings down fees for software and hardware maintenance. SaaS has generally been acknowledged to be safer than most on-premise software.
Answer:
identifying yourself in a post or e-mail
writing short
respecting others privacy
Explanation:
Because it downsized the scale of the computer itself.
Answer:
Database Management System ppt DBMS
I don't know if that is right. Sorry if it's not.
