As an e-commerce website owner you care about how your customers behave: why do they come to your website, which items or services are they most interested in, how much time do they spend on certain pages, and is their user experience above par? Also, it is very important to keep your website secure, as you can rest assured that no one wants to leave their payment details on an unsecured website.
Time series data can provide insight into ways to make energy production and consumption more cost-effective and efficient. The year 2022 saw the impact that world events can have on global energy markets. The most drastic fluctuations affected fossil fuels, which led to greater discussion about the practicalities of renewable energy. Fortunately, the move toward increasing reliance on renewable energy remains a consistent trend.
A look at best practices, no-code and low-code platforms you can use, common visualization types, criteria for good data visualization and more. Organizations regularly generate an overabundance of data that is essential for decision-making. Data visualizations play an important role in helping people understand complex data and observe patterns and trends over a period of time.
Recently InfluxData announced SQL support in InfluxDB Cloud, powered by IOx. Users can now use familiar SQL queries to explore and analyze their time series data. The SQL support was introduced along with the usage of Apache Arrow. Apache Arrow is an open source project used as the foundation of InfluxDB’s SQL support. Arrow provides the data representation, storage format, query processing, and network transport layers. Apache Flight SQL provides a method for interacting with Arrow via SQL.