For enterprise applications and startups to scale, they need to manage large volumes of data in real-time. Customers must have the ability to search for any product or service from your database within seconds. When you manage a relational database, data is spread across multiple tables. So, customers may experience lag during search and data retrieval. However, this is different with Elasticsearch and other NoSQL databases.
Today, companies can measure every aspect of business health, except the health of their data which drives business decisions. Data is vital to inform critical decisions such as identifying new routes to market, systems to support business agility, and more resilient supply chains. As Harvard Business Review puts it, “Your organization’s data is the source of both the opportunity and the challenges to your innovation.
Data architecture is a hot topic right now. And rightfully so. Technological advances bring out a myriad of new solutions that go beyond the traditional relational databases and data warehouses. They enable companies to accelerate their entire data pipeline (or at least remove painful bottlenecks) and shorten the analytic cycles. The portfolio of data assets managed by companies is also growing.
Businesses across the world have always utilized technology to gain a competitive edge over their rivals. In recent times RPA (Robotic Process Automation) has become increasingly popular. Nowadays, many ventures are heavily investing in technologies that can help them achieve automation for various processes and operations.
Audio signals are all around us. As such, there is an increasing interest in audio classification for various scenarios, from fire alarm detection for hearing impaired people, through engine sound analysis for maintenance purposes, to baby monitoring. Though audio signals are temporal in nature, in many cases it is possible to leverage recent advancements in the field of image classification and use popular high performing convolutional neural networks for audio classification.
Our latest dbt (data build tool) package helps accelerate your Mixpanel event analytics.
SaaS (software as a service) which is one of the most popular forms of cloud computing has completely revolutionized the world of cloud computing as it is being adopted by a majority of the IT organizations to modernize their IT structure. With companies shifting their tools and platforms from on-premise to cloud-based solutions, there is no doubt the future belongs to the SaaS test automation platforms.
Embedded dashboards are an easy way to share the insights you got from Moesif across your team and with your customers. You define metrics, build your dashboards, and then share them, filtered by company or user, inside your developer portal. From a technical point of view, they’re just websites that can be displayed inside an iframe somewhere on your web pages.
At Google Cloud, we’re invested in building data analytics products with a customer-first mindset. Our engineering team is thrilled to share recent feature enhancements and product updates that we’ve made to help you get even more value out of BigQuery, Google Cloud’s enterprise data warehouse.
