Mohamed Elsherif

“data outlives code.”
― Martin Kleppmann, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

“Naturally, payment networks want to prevent fraudulent transactions, banks want to avoid bad loans, airlines want to avoid hijackings, and companies want to avoid hiring ineffective or untrustworthy people. From their point of view, the cost of a missed business opportunity is low, but the cost of a bad loan or a problematic employee is much higher, so it is natural for organizations to want to be cautious. If in doubt, they are better off saying no. However, as algorithmic decision-making becomes more widespread, someone who has (accurately or falsely) been labeled as risky by some algorithm may suffer a large number of those “no” decisions. Systematically being excluded from jobs, air travel, insurance coverage, property rental, financial services, and other key aspects of society is such a large constraint of the individual’s freedom that it has been called “algorithmic prison” [82]. In countries that respect human rights, the criminal justice system presumes innocence until proven guilty; on the other hand, automated systems can systematically and arbitrarily exclude a person from participating in society without any proof of guilt, and with little chance of appeal.”
― Martin Kleppmann, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

“The moral of the story is that a NoSQL system may find itself accidentally reinventing SQL, albeit in disguise.”
― Martin Kleppmann, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

“In distributed systems, suspicion, pessimism, and paranoia pay off.”
― Martin Kleppmann, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems