data platform
It is clear that for any business or organization to function correctly, it must have a data platform. However, setting up a modern, efficient data platform can be difficult. Most traditional data platforms work, but due to their inflexibility, high cost, and complexity, they lack the efficiency needed to help your business operate at its highest productivity levels. This article is a quick and straightforward guide for anyone looking to build an efficient modern data platform.
Gathering Data
The first stage in data processing is acquiring the data through unified ingestion. This allows you to obtain data regardless of its structure, format, or amount and choose how data will be received, either in batches at various intervals or in a constant stream. This makes acquiring data more straightforward and more efficient.
Storage and Processing
Store your data using data lakes or warehouses, making sure these are scalable to accommodate growth. Have pipelines ready to convert data into practical formats and a real-time framework to process data as soon as it is received.
Monitoring and Tracking
As always, tracking and monitoring your data is very important. Use trustworthy and well-defined metrics, and be vigilant for abnormalities and irregularities. Use the observations to make decisions and improvements.
Guidelines and Security
A data platform is highly efficient, but handling it carelessly puts all your data at risk. There should be set rules dictating who has access to and uses specific data. If you develop your data platform and ensure it has the features outlined in this article, you can be confident in its speed, efficiency, and security.
