Digital twin technology has been around for years. But recently, industries have started to leverage it as a cost-effective method for creating prototypes to test, analyze, and study real-world simulations. Learn more about digital twins and get digital twin examples to learn how they could help you build bigger and better products.
Ever since Salesforce acquired Heroku back in 2010, the two services have worked exceptionally well together. Businesses can use Heroku to build flexible and scalable applications while utilizing Salesforce to manage customer data and drive sales. And when you need to share data between these two platforms, there’s a dedicated add-on: Heroku Connect.
What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases. The primary purpose is to present the most up-to-date operational events for the user to stay on top of the business needs and take action as changes happen in real-time.
Network encryption is a vital security step in hardening your application and guarding your data. Additionally, it is more often becoming a requirement by many organizations and laws such as HIPAA. In this article, we will discuss how to secure network communication between your application and the Oracle database using Oracle Native Network Encryption. We will demonstrate how encryption can be enabled and leveraged from SourcePro DB with no source code changes to your application.
Many people wonder if they should use BigQuery or Bigtable. While these two services have a number of similarities, including "Big" in their names, they support very different use cases in your big data ecosystem. At a high level, Bigtable is a NoSQL wide-column database. It's optimized for low latency, large numbers of reads and writes, and maintaining performance at scale.
Telecom companies monitor their network using a variety of monitoring tools. There are separate fault management and performance management platforms for different areas of the network (core, RAN, etc.), and infrastructure is monitored separately. Although these solutions monitor network functions and logic – something that would seem to make sense — in practice this strategy fails to produce accurate and effective monitoring or reduce time to detection of service experience issues.