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2. Data engineering - Wikipedia

   en.wikipedia.org/wiki/Data_engineering

   Around the 1970s/1980s the term information engineering methodology (IEM) was created to describe database design and the use of software for data analysis and processing. [3] [4] These techniques were intended to be used by database administrators (DBAs) and by systems analysts based upon an understanding of the operational processing needs of organizations for the 1980s.

3. Database administrator - Wikipedia

   en.wikipedia.org/wiki/Database_administrator

   Required skills for database administrators include knowledge of SQL, database queries, database theory, database design, specific databases, such as Oracle, Microsoft SQL Server, or MySQL, storage technologies, distributed computing architectures, operating systems, routine maintenance, recovery, and replication/failover.

4. Data modeling - Wikipedia

   en.wikipedia.org/wiki/Data_modeling

   Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Therefore, the process of data modeling involves professional data modelers working closely with business stakeholders, as well as potential users of the ...

5. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. The data may also be collected from sensors in the environment, including traffic cameras, satellites, recording devices, etc.

6. Artificial intelligence engineering - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence...

   This involves cleansing, normalizing, and augmenting the data as needed. Creating data pipelines and addressing issues like imbalanced datasets or missing values are also essential to maintain model integrity during training. [27] In the case of using pre-existing models, the dataset requirements often differ. Here, engineers focus on obtaining ...

7. Data mining - Wikipedia

   en.wikipedia.org/wiki/Data_mining

   Before data mining algorithms can be used, a target data set must be assembled. As data mining can only uncover patterns actually present in the data, the target data set must be large enough to contain these patterns while remaining concise enough to be mined within an acceptable time limit. A common source for data is a data mart or data ...

8. Modeling and simulation - Wikipedia

   en.wikipedia.org/wiki/Modeling_and_simulation

   This style of work is often accomplished by simulysts - those having skills in both simulation and as analysts. This blending of simulation and analyst is well noted in Kleijnen. [citation needed] Systems Engineering Support is applied for the procurement, development, and testing of systems. This support can start in early phases and include ...

9. Bachelor of Software Engineering - Wikipedia

   en.wikipedia.org/wiki/Bachelor_of_Software...

   Employers generally seek applicants with strong programming, systems analysis and business skills. "A large difference exists between the software engineering skills taught at a typical university or college and the skills that are desired of a software engineer by a typical software development organization. At the heart of this difference seems to be the way software engineering is typi