Data is one of the most critical assets that companies have and plays a huge role in decision-making. As a result, it’s important to have a system that is efficient and robust enough to handle the massive amount of data that needs to be collected. This is where data engineering comes in!
When companies are dealing with large volumes of data, it’s important for the information to be correct and accessible and they need to have data literacy. Data engineers are responsible for putting processes in place that ensure that data pipelines, databases, and data warehouses meet these metrics. Additionally, they need to know how to efficiently store data for the different sets of tools that will need it. This includes understanding the pros and cons of different storage options (e.g., in a Data Lake or a Data Warehouse) and how they differ depending on the size and complexity of the data.
Whether your company is trying to create an inventory report for your supply chain, or you’re looking to determine how much money could be saved by distributing unused materials across your various locations, the ability to quickly and easily pull in data from your ERP, your supply chain systems, third-party vendors, and internal business structures is key. This is where data engineers excel!
Smart manufacturers & industrial enterprises need to capture, process & analyze machine data in real-time from their machines like sensors & PLCs/SCADA systems. To do that, they need a new platform that is highly performant and secure and that integrates with legacy IoT/Edge systems using protocols like OPC UA/DA or Modbus. This is where a data engineering consulting firm can help!