In recent years, JSON established itself as a very popular data format for representing
massive data collections. JSON data collections are usually schemaless. While this ensures …

Abstract JavaScript Object Notation or JSON is a ubiquitous data exchange format on the
web. Ingesting JSON documents can become a performance bottleneck due to the sheer …

Developers often prefer flexibility over upfront schema design, making semi-structured data
formats such as JSON increasingly popular. Large amounts of JSON data are therefore …

In this paper, we present the recent advances that highlight the characteristics of JSON-
compatible binary serialization specifications. We motivate the discussion by covering the …

The schemalessness, one of the major advantages of JSON representation format, comes
with high penalties in querying and operations by denying various critical functions such as …

Modern database management systems employ sophisticated query optimization
techniques that enable the generation of efficient plans for queries over very large data sets …

Big-data systems have gained significant momentum, and Apache Spark is becoming a de-
facto standard for modern data analytics. Spark relies on SQL query compilation to optimize …

The last decade has witnessed a huge increase in data being ingested into the cloud, in
forms such as JSON, CSV, and binary formats. Traditionally, data is either ingested into …

Language-integrated query (LINQ) frameworks offer a convenient programming abstraction
for processing in-memory collections of data, allowing developers to concisely express …

Parsing is essential for a wide range of use cases, such as stream processing, bulk loading,
and in-situ querying of raw data. Yet, the compute-intense step often constitutes a major …