Apache ORC
Apache ORC (Optimized Row Columnar) is a columnar storage file format designed for efficient storage and processing of large datasets in Hadoop ecosystems. It provides high compression rates, fast query performance, and supports complex data types like structs, lists, and maps. ORC is widely used in big data applications for analytics and data warehousing.
Developers should learn ORC when working with big data platforms like Apache Hive, Spark, or Presto to optimize storage and query performance for analytical workloads. It is particularly useful for scenarios involving large-scale data processing, such as log analysis, business intelligence, and data lake implementations, due to its efficient compression and predicate pushdown capabilities.