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Analytics

Introduction to Time Series Forecasting with Tensorflow and InfluxDB

Wouldn’t it be nice to be able to perfectly predict the future? We are a long way from being able to do that, but that is basically the goal of anybody working in the data science field — take a bunch of historical data and then try to make future predictions based on that data.

Getting Started with Go and InfluxDB

Conventional databases such as PostgreSQL or MongoDB are great at safekeeping the state of your system in a tabular or document format, but what about time-dependent data: systems metrics, IoT device measurement or application state change? For those things, you need a more suitable type of database, one designed to manage better semi-structured data with a time characteristic.

Sponsored Post

Using Predictive Analytics Capability to Resolve Critical Incidents

CloudFabrix solution provides a holistic approach for enterprises to implement proactive operations with the objective of eliminating/reducing critical incidents and improving customer satisfaction. The solution primarily relies on applying regression/forecasting models on any time-series data to detect and forecast anomalies. One of the unique features of the solution is the ability to convert unstructured data such as logs/incidents/alerts into time-series data to be used for running prediction models.

Notebook Sharing

It’s that season of sharing, and in the spirit of sharing, we have a new feature to share with you — notebook sharing. Now you can take your favorite InfluxDB notebooks and share them with whoever you would like. They don’t need to have an InfluxDB Cloud account. They just click on the link you share with them, and they can see the notebook that you shared, for the time range that you selected.