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Q: What are the different ways that engineering data and documentation can be presented?
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Why is it important to analyze all available engineering data and documentation before decisions are made?

safety,quality,production,cost,benefit to the wrold.


What are the different ways of storing data and documentation?

Data and documentation can be stored electronically on computer hard drives, cloud storage services, external drives, and servers. Physical copies can be stored in filing cabinets, binders, or archive boxes. Additionally, some companies utilize document management systems to organize and store their data and documentation efficiently.


Microsoft documentation uses two terms to describe different types of ownership?

Data Owner and Service Owner


What aircraft engine documentation is an AFTO IMT 95 primarily used for?

The AFTO IMT 95 is not used for any A/C engine documentation specifically. It's used for all types of documentation for many different AF assets. It's primary purpose is documentation of Significant Historical Data, hence it's title: AFTO IMT 95, Significant Historical Data.


The data being presented is listed across which part of the table?

The data being presented is typically listed in columns within a table. Each column represents a different variable or category, with individual data points displayed in rows within those columns.


Is Azure Data Engineering in demand?

As long as there is data that needs to be processed, Data Engineering is and will always be in-demand.


How are data presented?

by graph


What is the term for a guess based on the data presented?

An educated guess based on data presented is known as an inference.


What is a subsystem of IMDS?

Job Data Documentation


Is the collection and summarization of data and information?

documentation


To reveal trends in data should be presented in a?

I believe trends in data should be presented in a graph.


What is the purpose of data model?

The purpose of data modeling is the formalization and documentation of existing processes and events that occur during application software design and development. Data modeling techniques and tools capture and translate complex system designs into easily understood representations of the data flows and processes, creating a blueprint for construction and/or re-engineering.