Data Integration & 管理层

ARBIN-SSIS-Data-Integration-Management

视频-介绍

在快节奏的电池测试领域,精确的数据对创新和质量控制至关重要,因此确保数据的完整性和可靠性至关重要。

电池测试解决方案的先驱 Arbin 意识到了这一关键需求,并实施了一整套措施来保护数据、保持准确性并提高电池测试操作的整体价值。

Data Integrity & Data Recovery

To verify data integrity during transfer between Arbin backend and machines, we compute MD5 hashes for data parity. This ensures that data is not corrupted or altered during transmission.

Arbin Machines actively communicate with the backend to synchronize timestamps. This ensures that customer data is accurately marked with correct timestamps, preventing discrepancies and enabling precise analysis.

In battery testing environments, data loss can be a critical issue. Lost data can hinder research, development, and quality control efforts. Arbin has implemented robust mechanisms to prevent data loss and ensure the integrity of collected data.

Data collected from your MCU is initially stored in a buffer file to prevent loss in case of temporary network disruptions or write failures. The buffering mechanism acts as a safety net, safeguarding your data even under challenging conditions.

ARBIN-SSIS-Data Integrity & Data Recovery

Flexible Data Storage Options

To meet the diverse needs of our customers, we offer a comprehensive suite of data warehousing and data lake solutions that empower you to harness the full potential of your data.

Local Databases

For on-premises deployments, we provide robust local database options that cater to various data storage requirements.

Remote Databases

Arbin's backend also has the ability to connect to remote databases through TCP/IP, enabling flexible data integration and management.

Cloud Database Integration

Integrate with leading cloud platforms like Azure, GCP, and AWS to leverage their scalability, reliability, and advanced features.

Efficient Data Replication

To ensure optimal performance and data availability, Arbin offers replication of your data to a secondary database without compromising the writing performance of the primary database.

Kafka Real-time 数据流

In the world of battery testing, the massive stream of real-time data coming from numerous devices can quickly overwhelm traditional data management systems. That's where Kafka steps in.

At Arbin, we've integrated Kafka to supercharge our testing infrastructure. Kafka's distributed architecture ensures that our data pipeline can handle vast amounts of information without missing a beat.

Additionally, Kafka's ability to integrate with other applications and services allows us to seamlessly connect various data sources, ensuring efficient, reliable data flow across platforms.

Its scalability is one of the key benefits-Kafka easily expands to accommodate growing data streams, whether we're working with on-premises systems or scaling out to cloud environments.

This has led to a substantial boost in performance and reliability, making our system not only more robust but also future proof.

ARBIN-SSIS-Kafka Real-time Data Streaming
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