Partitioning and bucketing are used to improve the reading of data by reducing the cost of shuffles, the need for serialization, and the amount of network traffic.
Apache Airflow enables us to schedule tasks as code. In Airflow, a SLA determines the maximum completion time for a task or DAG. Note that SLAs are established based on the DAG execution date, not the task start time.
The case class represents immutable data. It is a type of class that is often used for data storage.
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.
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.
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.