High Cardinality? No Problem! Stream Aggregation FTW
High cardinality in time series data is challenging to manage. But it is necessary to unlock meaningful answers. Learn how streaming aggregations can rein in high cardinality using Levitate.
High cardinality in time series data is challenging to manage. But it is necessary to unlock meaningful answers. Learn how streaming aggregations can rein in high cardinality using Levitate.
In today’s world, the demand for custom enterprise applications is at an all-time high. Why? First, businesses are seeking ways to streamline their operations and improve efficiency, which often requires custom solutions tailored to their specific needs. Second, the rise of mobile devices and remote work has created a demand for applications that can be accessed from anywhere.
Azure Disk Storage is a robust and versatile cloud storage solution provided by Microsoft Azure. It offers high-performance, durable, and scalable storage options for various workloads, such as virtual machines, databases, and business-critical applications. Understanding the key factors impacting costs, best practices, and how to optimize Azure Disk Storage can help users save money and make the most of their cloud storage investment.
Over the years, our enterprise data centre users have told us how much they love the end to end experience of an application-centric solution like Juju to manage their entire infrastructure. Juju is a software operator framework that abstracts the specifics of operating complex software and makes it simple and straightforward to deploy, operate and relate complimentary pieces of software, reducing cost and providing flexibility.
SQL provides a date type that developers can use to store date values. Also, to make working with dates easier, SQL has several date functions for retrieving, formatting, and manipulating dates. In this post, you’ll learn about some SQL date functions and how to use them.
Software License Optimization is an important and expensive part of IT’s remit. The SaaS industry alone is expected to generate 883.34 billion by 2029, as the use of SaaS applications moves from common to ubiquitous. The workplace is now primarily digital, and many businesses either are, or are moving to entirely cloud-based systems. Yet this proliferation of cloud-based SaaS applications alongside existing on-prem applications creates complexity for IT teams.