ETLCloud lightweight data center solution for manufacturing industry

Manufacturing data processing characteristics

The manufacturing industry generates a large amount of business transaction data and status data during equipment operation during the business development process. However, the manufacturing industry is different from other Internet or retail industries in that its data processing has the following characteristics:

1. The amount of data is not large, and the database tables of most business systems are below 1000W.
2. The data structure is complex, and the data needs to undergo strong cleaning and transformation before it can become usable analysis data.
3. Equipment data collection has high real-time requirements and requires real-time collection and analysis of status data when the equipment is running.
4. The relatively remote location results in a small number of IT personnel, and most of the work is focused on operating and maintaining business systems.
5. Data is often scattered in multiple factories. The data structure of each factory may be the same. The data needs to be aggregated or distributed to multiple factories at one time.
6. There are a large number of files or FTP and EDI files that need to be sent and received
7. Business needs change rapidly, requiring IT to respond agilely to business needs.

With the transformation of the manufacturing industry into smart factories and data digitization, data has become an important resource for manufacturing companies. How to efficiently manage, analyze and apply data has become particularly critical. However, many manufacturing companies face problems such as high costs, complex architecture, and long implementation cycles when building data middle platforms. In order to solve these challenges, ETLCloud has launched a lightweight data middle platform solution to help manufacturing companies quickly build a cost-effective data middle platform with the concept of simplicity, efficiency and flexibility, and realize the entire process from data collection to insight analysis.

Manufacturing data middle platform construction steps

The construction of manufacturing data middle platform should be based on practical applications. Because the amount of data is not particularly large, there is no need to build a large and comprehensive data middle platform at once. Many manufacturing industries will use kettle as a data collection tool in the early stages of business development and then Use sql server or pg, mysql, etc. as a data warehouse, and purchase a BI tool to implement data analysis. However, as the amount of data and real-time requirements increase, the operation and maintenance workload of this architecture increases. At the same time, It is also not adapted to the digital transformation needs of new smart manufacturing.

According to a large number of manufacturing companies we have contacted, they should use a one-stop lightweight data middle platform that is easy to maintain, has low learning costs, and can be operated and maintained independently. The so-called lightweight data middle platform includes the following data middle platforms Core functional modules:

1. The integrated data collection platform includes (ETL/ELT/CDC and other modules) to achieve offline and real-time data collection
2. Use greemplum or pg to build a lightweight data warehouse and perform data warehouse stratification
3. Use ETL tools to extract data from ERP, MES, HR, OA, WMS, and CRM into the data warehouse
4. Build a data API service development platform to quickly publish data in the data warehouse as API services through no-code or low-code methods
5. A report or BI tool performs visual analysis on the data in the data warehouse
6. Through the ETL process, the data is automatically calculated, abnormal data is generated, and data is pushed to achieve automated data value utilization and discovery.
7. Create an H5 or mini-program application based on the collected and cleaned data front-end, connect it to Qiwei or DingTalk and push it to business users.

Based on the above modules and functions, IT personnel of manufacturing companies can solve all problems of data processing, data storage, and data analysis by themselves. At the same time, the platform deployment architecture is very lightweight. Even if problems arise, IT personnel can quickly handle them without relying on third-party vendors. .

Advantages of ETLCloud lightweight data center

1.Lightweight architecture design

Traditional data centers are often complex in design and include huge middleware and technology stacks, resulting in high costs and complex operation and maintenance. ETLCloud's lightweight data middle-end solution adopts a streamlined architecture design specifically for the characteristics of the manufacturing industry, integrating ETL, ELT, CDC, API data service development platform, lightweight data asset management module, Greenplum data warehouse and BI tools.

Through this streamlined design, the complexity of the architecture is reduced, making the middle office more efficient and easier to maintain. Manufacturing companies only need an ordinary IT project to be fully qualified for this job. There is no complicated technology stack, and all operations and maintenance can be done in Through the WEB interface, manufacturing enterprises can realize the entire process of data collection, data processing, and data serviceization of the entire enterprise by investing in one or two projects.

(Lightweight data center architecture for manufacturing industry)

2. Can be quickly deployed on a single machine

Manufacturing companies can build initial data middleware products in as little as an hour. IT staff can quickly experience the complete process from data preparation, data analysis to data services. More importantly, the product also supports continuous iteration and expansion of functions according to business needs, maintaining close connection with the business.

3. Support continuous function expansion

As a manufacturing company's business develops, the data pipeline and data volume will continue to grow. ETLCloud data center supports rapid architectural adjustments to adapt to the expanding data scale. This elastic expansion ensures that the performance and efficiency of the data center can always meet business needs, while avoiding the waste of resources, and can cope with the continuous expansion needs of manufacturing enterprises in the future, such as: multi-factory deployment, hybrid cloud deployment, daily tens of billions Data collection and transmission requirements.

4. Friendly operating experience, reducing learning costs

Based on the characteristics of manufacturing users, our solution is user-friendly. Through full WEB interface operation, users can easily manage and maintain the data center without having in-depth technical knowledge. This simplified operation reduces reliance on professionals and reduces operation and maintenance costs.

(Lightweight data center interface)

(Data collection process design)

5.SAP , Kingdee, UFIDA NC integration

ETLCloud has built-in a large number of business system data collection modules commonly used in the manufacturing industry, such as SAP, NC, K3Cloud, etc. Users do not need to write code, they just need to pull in the corresponding link components from the left to quickly collect data in the business system.

6. Zero-code data service release

Through a professional API low-code development platform, it achieves minute-level data service delivery speed and quickly builds a data-as-a-service platform (DaaS) for users. For manufacturing companies, we also provide a full range of solutions, including data service visual orchestration and high-performance data service gateways, to meet complex business needs. In traditional data center projects, data delivery and services usually require a lot of time and resources. However, with our solutions, you can bring data services to market in minutes, providing immediate data support to business units and customers.

value

The ETLCloud manufacturing lightweight data middle platform solution provides manufacturing enterprises with an efficient and feasible data middle platform construction path through its lightweight architecture design, rapid deployment, elastic expansion and other characteristics. In the data-driven era, enterprises should no longer be constrained by cumbersome data center construction, but should use ETLCloud's solutions to realize the maximum value of data in a more flexible and faster way.

(ETLCloud lightweight data platform architecture)

This article comes from the ETLCloud data integration community  ETLCloud data integration community