Visualizing time series data is often the first step in observing trends that can guide time series modeling and analysis. As time series data analysis becomes more essential in applications across ...

If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, without proper ways to aggregate and transform this data into information, ...

Artificial intelligence (AI) technologies are currently revolutionizing industries and enabling automation on a scale we've never seen before. Of course, none of this is possible without data. These ...

The easiest way to think about an open data architecture is that it’s the opposite of a vendor-locked-in, closed-system environment. A system designed with open data architectural principles supports ...

CEO of InfluxData, a leading time series platform, board member for One Heart Worldwide and board advisor for Lucidworks and The Fabric. More than ever, mission-critical applications require real-time ...

Time series forecasts are used to predict a future value or a classification at a particular point in time. Here’s a brief overview of their common uses and how they are developed. Industries from ...

As data pours in from every corner of the digital world, the race to process, scale and unlock real-time insights has never been fiercer. Recognizing this relentless demand, Amazon Web Services Inc.

Solargis’ Evaluate 2.0 platform uses more granular time series data. Image: Solargis. For years, the solar industry has relied on Typical Meteorological Year (TMY) data as the standard for PV ...

In today’s capital market, investment firms need to manage and analyze massive volumes of historical and streaming data (‘tick data’) to help forecast market trends, back-test trading strategies, ...