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Data Landing | Web Scraping Tool | ScrapeStorm

2025-08-27 15:08:39
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Abstract:Data landing refers to the process of migrating raw data from the collection end to a persistent storage layer (such as a file system, database, or message queue), ensuring data traceability and analyzability. ScrapeStormFree Download

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Introduction

Data landing refers to the process of migrating raw data from the collection end to a persistent storage layer (such as a file system, database, or message queue), ensuring data traceability and analyzability. It is a key link in the connection between big data processing and business applications.

Applicable Scene

Suitable for scenarios that require long-term preservation of raw data to support subsequent analysis, auditing, or machine learning, such as e-commerce user behavior log storage, financial transaction record archiving, IoT device data persistence, etc.

Pros: Ensure data security and traceability through persistent storage, support flexible queries and deep analysis in the future, and adapt to various technical architectures (such as file systems, databases, message queues) to meet different scenario requirements.

Cons: The database solution has write performance bottlenecks and high storage costs, while the file system/message queue lacks structured query capabilities, and the overall technical complexity is high, requiring a balance between cost, performance, and operational investment.

Legend

1. Data Landing Integration.

2. Data Landing Zone.

Related Article

Data Inventory

Data sharing

Data Export

Data Backup

Reference Link

https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/scenarios/cloud-scale-analytics/architectures/data-landing-zone

https://docs.treasuredata.com/articles/#!int/data-landing-integration

https://en.wikipedia.org/wiki/Staging_(data)

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