Everyone from managers to C-suite executives wants information from analytics in order to make better decisions. Business analytics gives leaders the tools to transform a wealth of customer, operational, and product data into valuable insights that lead to agile decision-making and financial success. Traditional business intelligence and KPI dashboards have been popular solutions but they have their limitations.
Experts from Microsoft, WANdisco, and Unravel Data recently outlined a step-by-step playbook—utilizing a data-driven approach—for migrating and managing data applications in the cloud.
It’s prudent business practice to only focus on your core features when getting to Minimum Viable Product (MVP). Microservices architectures allow you to outsource non-differentiated pieces of your solution to third-party providers; Use someone else for user management, billing and account management. At first blush, it might seem attractive to develop your own API analytics solution, perhaps by building on top of a web analytics tool like Amplitude, MixPanel or Segment.
New technologies always require some planning, changes, and experimentation before they merge into an enterprise stack. GraphQL adoption has been no exception to this. Companies like Airbnb, Netflix, Shopify, and other industry giants have all taken the leap to use this promising technology. In this blog, I will outline a few key considerations for creating your new service, deploying it, and monitoring the service.
Snowflake is proud to announce the open source release of SansShell, a non-interactive local host management agent. Its purpose is to enable strong authentication, authorization, and auditing of the management of servers of any type. The source code is available on GitHub.
Globe Telecom, one of the largest providers of digital services in the Philippines, was operating in a saturated market with limited opportunity to expand. Any strategy for growth depended on nurturing customer relationships and fostering lifelong value with each customer. For Globe Telecom, getting customer data was never the problem — telecom companies produce terabytes of data every day.
