MapReduce is a programming model for distributed computation on big data sets in parallel. It's a module in the Apache Hadoop open source ecosystem, and a range of queries may be done based on the algorithms available. Here's when it's suitable (and not suitable) to use MapReduce for generating and processing data.

Poor quality input will always produce faulty output. Improper validation of data input can affect more than just security; it can also affect your ability to make effective business decisions. Bad data can have impacts on how you make quantitative decisions or create reports, if you can’t trust the data you receive.

Employer evaluations measure your performance against expected objectives, evaluate you against other employees, and aim to keep you relevant in your company. But it’s also a good idea to perform a self-examination in relationship to your place of employment, to ensure you stay attractive to potential future employers.