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When Big Data Goes Wrong: 3 Common Issues and Possible Solutions

Our shared future has always been profoundly enigmatic. Hoary seers from days of yore would never have predicted everyday life as it is now. It would have been impossible to guess most of what has already happened in the 21st century. Peering into crystal balls would have proved equally futile. Even an attempt to make well-educated guesses about possible issues with big data would likely have been way off the mark.

Energy Regulators Driving Cloud-First Strategies in Race to Net Zero Carbon

Every government in the world is evaluating the steps necessary to radically reduce carbon emissions. The UK Government has been especially proactive, not just assessing these steps, but rolling out aggressive carbon-control strategies and legislation. Originally, the UK Government’s Climate Change Act 2008 set a goal of an 80 percent reduction in the country’s carbon emissions by 2050.

What Is CI/CD and How to Build ETL Processes

In today’s world of heterogeneous data ecosystems, managing and consuming data can be cumbersome. Organizations often have multiple systems of truth in corresponding to the applications managing the data. While data engineers dream of software that would make it easy to consume and digest different data streams from disparate systems, that scenario rarely comes to fruition.

Time series databases - For the heat of modern data

Meet the hottest data trend. Time-stamped data is an ever-present aspect of our lives. Medical sensors, autonomous vehicles, financial fluctuations, your refrigerator... These days anything can be connected, and the data flow can be astronomical. No matter what you throw at them... time series databases are built to handle the heat of modern data. In fact, they’re so hot... they’re cool! Want to know more?

Time series databases - Astronomically awesome

Imagine a universe of data. A place where every star, every planet, is a byte of information...dispersed through eons of time. Could anything handle all that data? Time series databases are built for astronomically huge amounts of information. When you’re wrestling with near infinite data, a time series database – like Aiven for M3 – will help you make sense out of chaos. Want to know more? Check out Aiven’s guide to time series data – and transform a universe of data into something awesome.

TL;DR InfluxDB Tech Tips - Creating a Telegraf Configuration with the InfluxDB UI

The InfluxDB UI offers a wide variety of features for time series analysis, data lifecycle management, and time series visualization. The InfluxDB UI also shines when it comes to onboarding new users, whether they’re an InfluxDB OSS or free tier InfluxDB Cloud user. The InfluxDB UI allows you to easily leverage Telegraf, a plugin-driven collection agent for collecting, processing, and writing metrics and events.