Data mapping | BestHub

Zhuanzhuan Tech

Jun 11, 2025 · Backend Development

Transform JSON Seamlessly with Jolt: From Hard‑Coded Logic to Configurable Rules

This article introduces Jolt, an open‑source Java library for JSON‑to‑JSON transformation, explains its advantages over traditional hard‑coded conversion, demonstrates core operations and custom extensions with code examples, shows how to integrate it into Spring Boot, and outlines future plans for a visual drag‑and‑drop configuration tool.

Configuration ManagementData mappingJSON transformation

0 likes · 17 min read

Transform JSON Seamlessly with Jolt: From Hard‑Coded Logic to Configurable Rules

Code Mala Tang

Mar 17, 2025 · Backend Development

How to Efficiently Map Dictionaries to Python Classes: From Namedtuple to Pydantic

Mapping external data such as MongoDB query results or API responses to Python class attributes can be done manually, but this article explores several automated approaches—including namedtuple, setattr, a custom ModelBase/Type mapper, and Pydantic—detailing implementation, error handling, and performance benchmarks to guide developers in choosing the optimal solution.

Data mappingNamedtuplePerformance Benchmark

0 likes · 12 min read

How to Efficiently Map Dictionaries to Python Classes: From Namedtuple to Pydantic

DevOps

Mar 16, 2021 · Big Data

Digital Transformation Six‑Map Methodology: Strategic, Business, Demand, Application, Algorithm, and Data Maps

The article presents a comprehensive six‑map framework for digital transformation—strategic, business, demand, application, algorithm, and data maps—explaining how enterprises can systematically align goals, processes, requirements, technologies, models, and data assets to achieve effective, data‑driven change.

Data GovernanceData mappingDigital Transformation

0 likes · 18 min read

Digital Transformation Six‑Map Methodology: Strategic, Business, Demand, Application, Algorithm, and Data Maps

Sohu Tech Products

Apr 15, 2020 · Mobile Development

Swift-Based Conversion Between Realm.Object and Business Models Using Protocols

This article explains how to implement a Swift‑centric conversion framework that maps Realm.Object instances to plain business models and vice versa by defining protocols, leveraging Mirror for reflection, handling basic and complex types, and providing generic solutions for collections and optionals.

Data mappingMobile DevelopmentRealm

0 likes · 13 min read

Swift-Based Conversion Between Realm.Object and Business Models Using Protocols

Architects' Tech Alliance

Oct 21, 2018 · Fundamentals

Understanding Ceph Architecture: RADOS, OSD, PG Mapping and Data Placement

This article explains Ceph's distributed storage architecture, covering its origins, RADOS client interactions, cluster map updates, the roles of OSDs, Monitors, metadata clusters, and the three-step mapping process from files to objects, placement groups, and finally to storage devices using the CRUSH algorithm.

CRUSHCephData mapping

0 likes · 8 min read

Understanding Ceph Architecture: RADOS, OSD, PG Mapping and Data Placement

vivo Internet Technology

Nov 17, 2017 · Big Data

Elasticsearch Search Tuning Guide: Part 2 - Index Optimization, Mapping, Scripts, and Segment Merging

The second part of the Elasticsearch search‑tuning series explains how to pre‑index data, choose appropriate keyword or text mappings, minimize script use by preferring Painless or Lucene expressions, and efficiently force‑merge read‑only indices into single segments for better performance.

Data mappingElasticsearchForce Merge

0 likes · 8 min read