Data Ingestion | Web Scraping Tool | ScrapeStorm

ScrapeStorm is a powerful, no-programming, easy-to-use artificial intelligence web scraping tool.

Introduction

Data ingestion is the process of bringing raw data from various sources (such as business systems, databases, IoT devices, log files, etc.) into a data lake, either in batch or real-time mode. It supports the unified collection and transmission of structured, semi-structured, and unstructured data. As the first step in building a data lake platform, it provides foundational data support for subsequent data processing, analysis, and mining.

Applicable Scene

Suitable for enterprises that need to centrally store massive amounts of raw data dispersed across multiple heterogeneous systems (such as business database logs, app user behavior data, IoT sensor data, social media data, etc.) into a unified, low-cost storage platform. It provides data scientists and analysts with a flexible data exploration environment, particularly well-suited for scenarios with diverse data formats and Schema-on-read usage patterns.

Pros: Supports unified ingestion of multi-source heterogeneous data in their original format without requiring pre-defined schemas, greatly improving the flexibility and efficiency of data collection.

Cons: Without a robust data governance mechanism, large volumes of raw data ingested without proper cleansing and quality control can easily lead to the “Data Swamp” problem, making it difficult to effectively utilize the data.

Legend

1. Data Ingestion.

2. Real-Time Data Ingestion.

Related Article

Data Trigger

Data Source Identification

Data Listener

Data Refresh Policy

Reference Link

https://skyvia.com/learn/what-is-data-ingestion

https://www.ibm.com/think/topics/data-ingestion

https://www.databricks.com/blog/what-is-data-ingestion