Some Essential Features of Data Mapping

The world is being ruled by data. In the current disruptive era, enterprises around the world are dealing with ever-increasing, highly complex, bidirectional data. To enable the smooth migration of data between myriad data sources and deliver value, organizations must employ effective data transformation strategies for better insight delivery and ultimately decision-making. This is easier said than done, however. 

Data has multiple formats, languages, and schemas, and analyzing this highly complex data to extract insights and make decisions is challenging. For this, organizations need to integrate all the data sources – and thus all the data. Data mapping has a huge role to play here. 

RION – A Fast, Compact, Versatile Data Format

Raw Internet Object Notation (RION) is a fast, compact, versatile data format. Yes, I know what you are thinking: "Yet another data format." How is this different from CSV, XML, JSON, YAML, ProtoBuf, MessagePack, CBOR, Amazon’s ION, Apache Avro or ASN.1? Hang on, and I’ll explain that throughout this article, but first I will have to give a bit of background information on RION.

A Data Format for Efficient Exchange and Storage of Data

RION is developed by Nanosai, a distributed systems R&D company (which I am a co-founder of) as an "open standard" — meaning everyone is welcome to use it. RION was originally designed as a data format for efficient data exchange. However, we have since expanded the target use case to include efficient storage of structured data too.