First of all, what is ETL?
ETL stands for "Extract, Transform, Load" and is a process for data integration and transformation. It plays an important role in data management and analysis. Below we'll break down each step:
Extract: This step involves extracting data from multiple different data sources, which can be databases, files, APIs, log files, etc. Data is usually extracted in its raw, unprocessed form.
Transform: In this phase, the data is cleaned, transformed, and reformatted so that it fits the structure and needs of the target data warehouse. This may include data cleaning, renaming columns, data type conversion, deduplication, merging data, etc.
Load: In this step, the transformed data is loaded into the target data warehouse. This can be a relational database, data lake, data warehouse, or other storage location. The loading process should be effectively optimized to ensure data consistency and queryability.
How to collect data into the data warehouse through ETL?
If an enterprise wants to build a data warehouse system, ETL is the most critical link. ETL is to transport various data of the enterprise to the data warehouse.
Comparison of commonly used ETL tools
Tools commonly used in ETL include Informatica, Datastage, DataX, and Kettle. The following is a comparison of tools.
From the comparison chart above, we can see that the advantages of ETLCloud products are very obvious. Let's explore the charm of ETLCloud tools together.
ETLCloud data integration platform installation, deployment and getting started
ETLCloud is a zero-code ETL tool that can quickly connect to hundreds of data sources and application systems. It can quickly complete data synchronization and transmission without coding. Enterprise IT personnel can quickly complete various data extraction, synchronization and synchronization in just a few simple steps. Cooperate with BI tools to achieve statistical analysis of data.
Installation and deployment:
The ETLCloud official website provides a one-click deployment package for Linux. You only need to run the installation package deployment script to complete product deployment and installation within minutes.
Product Features:
Access the platform homepage via the Web, and the product function modules are clearly described, simple and easy to use.
Data source management:
More than 40 types of databases are supported to solve the difficulty of connecting multiple data sources within the enterprise.
Offline data synchronization:
The process design panel is clear and concise, with rich component content. Through the combination of different components, it can solve the problems in the data synchronization process currently faced by enterprises.
(The effect after running the ETL process is as shown above)
CDC real-time data synchronization:
By turning on the log of the database, real-time data monitoring and transmission can be realized. The entire step can be completed quickly through simple configuration. In addition, it also supports kafka, monitoring and pushing of various MQ messages.
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Breakpoint resumption can improve transmission efficiency, ensure transmission reliability, and provide a better user experience. It plays an important role especially when the network is unstable or large files are transferred. Interruption can be quickly realized through the visual configuration in the ETLCloud interface. Click resume capability.
Monitoring and warning:
The platform itself has a complete monitoring and early warning system, and abnormal process data can be quickly located and located through the monitoring center.
Online learning and help documents:
The ETLCloud official website provides comprehensive learning videos, help documents, and scenario examples to help newcomers get started quickly.
Online help documentation
