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.
D2iQ and Aerospike have partnered to help developers and data architects spend less time managing and maintaining their infrastructure and more time delivering mission-critical applications that provide business value at scale. The Aerospike Kubernetes Operator has been certified on the D2iQ Kubernetes Platform (DKP) to enable organizations to efficiently deploy and operate Aerospike clusters. Aerospike is a high-performance NoSQL database that enables high-speed data processing at scale.
Simplified analysis. Enhanced visualizations, alerting capabilities, advanced data forwarding, and more. Great news! We have published a new update with many exciting new features and optimizations.