NextGenBeing Founder
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Loading...Introduction to Time-Series Data
I still remember the day our team encountered a major roadblock with our application's data storage. We had been using a traditional relational database to store sensor readings from IoT devices, but as the number of devices grew, so did our storage needs. It became clear that we needed a more efficient solution for handling time-series data. That's when we discovered InfluxDB, a purpose-built time-series database that could handle high volumes of data with ease.
Why InfluxDB 2.6?
After researching various time-series databases, we chose InfluxDB 2.6 for its high-performance capabilities, scalability, and ease of use. One of the key features that drew us to InfluxDB was its ability to handle high-volume writes and queries with low latency. We also appreciated the flexibility of its data model, which allowed us to store data from various sources in a single database.
Setting Up InfluxDB 2.6
To get started with InfluxDB, we first installed the database on our server using the official installation guide. The process was straightforward, and we were able to get up and running quickly.
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