Caching is one of Spark's optimization strategies for reusing computations. It stores interim and partial results so they'll be utilised in subsequent computation stages.
It's the process of designing and building systems for gathering vast quantities of raw operational data from a variety of sources and formats, analyzing, converting, and storing it at scale.
Envelope encryption is a way of encrypting plaintext data using a key and then encrypting that key using an another key. This strategy is intended not just to make things more secure but also to enhance performance.
Anti-patterns at first seem to be quick and reasonable, they typically have adverse effects in the future. They are design and code smells. It affects our software badly and adds technical debt. We should avoid them at all costs.
Rust's ownership and borrowing features prevent us from experiencing memory-related problems. Rust is a great choice when performance matters and it solves pain points that bother many other languages.
When the granularity of data increases, its complexity also increases. At some point, we will reach a point where we cannot handle the volume of fresh data being generated.
