User:Nitor1122/sandbox

=== Limitations of Automation ===


 * 1) High capital expenditure: Automated systems require significant investment in design, fabrication, and installation, often costing a lot. This financial burden can be a barrier for businesses, especially small and medium-sized enterprises, that may struggle to afford the upfront costs.
 * 2) Increased maintenance requirements: Automated equipment generally requires a higher level of maintenance compared to manually operated machines. Regular maintenance and repair can be complex and costly, requiring specialized technicians or engineers with expertise in automation systems.
 * 3) Limited flexibility: Automated systems tend to have lower flexibility in terms of product variety and adaptability compared to manual systems. Even with flexible automation, which is designed to handle different products or tasks, humans still possess superior versatility and can adapt to changing requirements more easily.
 * 4) Potential subjugation of workers: There is a concern that automation technology may lead to workers becoming slaves to automated machines. This fear arises from the possibility of reduced job opportunities, increased unemployment, and a shift in power dynamics where humans become overly dependent on machines.
 * 5) Invasion of privacy: The widespread use of automation and vast computer data networks raise concerns about the invasion of privacy. Collecting and analyzing vast amounts of data from automated systems could potentially compromise the privacy and security of individuals.
 * 6) Human error risks: While automation aims to minimize human error, there is still the possibility of human error in the management and control of technology. Mistakes or oversights in the design, programming, or operation of automated systems could have unintended consequences that may pose risks to civilization.
 * 7) Dependency on automation: Society's growing reliance on automation for economic well-being poses a potential disadvantage. Over-reliance on automated systems could create vulnerabilities, as disruptions or failures in the automation infrastructure could have significant adverse effects on industries and economies.

History
ETL (Extract, Transform, Load) practices have a long history dating back to the early days of computing when organizations began storing data in electronic form.


 * 1) In the 1970s, ETL gained popularity. Initially, it was done manually, involving extracting data from one system, manually transforming it, and loading it into another system. However, this manual approach was slow, error-prone, and resource-intensive.
 * 2) In the 1990s, data warehousing revolutionized ETL practices. Specialized ETL tools were created, automating extraction, transformation, and loading processes. These tools efficiently extracted data from multiple sources, transformed it for analysis, and loaded it into a centralized data warehouse. During this time, ETL tools were mainly standalone applications deployed on-premise.
 * 3) In the 2000s, big data and real-time data processing demands drove the evolution of ETL tools to handle large data volumes and enable immediate processing.
 * 4) In response, developers created advanced ETL tools that utilized Hadoop, an open-source framework designed for distributed storage and processing of large-scale data. These tools efficiently managed vast amounts of data and processed it in real-time.

= Employee Engagement = The extent of commitment and passion that employees exhibit towards their work and the company they are employed with is gauged by employee engagement.