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.
JavaScript is a common language in mobile and web app development. Due to its popularity, JavaScript optimization is becoming increasingly necessary for improving application performance. Let’s learn some of the challenges associated with JavaScript and how to optimize js performance.
Personally identifiable information (PII) and protected health information (PHI) are two types of sensitive data that fall under one or more data privacy regulations. HIPAA and GDPR are examples of the regulations that govern what organizations can and need to do with PII and PHI. When you work with large data sets, it can be challenging to maintain compliance with these regulations.
In our previous blog post in this series, we explored the benefits of using GPUs for data science workflows, and demonstrated how to set up sessions in Cloudera Machine Learning (CML) to access NVIDIA GPUs for accelerating Machine Learning Projects.
We've moved from desktop to SaaS, to a real UX focus. Now we're seeing new vendors that are analytics-first. They’re creating new applications that are challenging the established players. Historically, applications were transaction-first; you build your software thinking about your workflow or the transactions that you want people to do.
Custom code to connect with data APIs is quickly becoming a thing of the past.
