InsightsOct 30, 2024
What is Internet Control Message Protocol (ICMP) Networking
The Internet Control Message Protocol (ICMP) is integral to the Internet Protocol Suite, operating primarily at the network layer. Though ICMP doesn’t manage data transfer like TCP or UDP, it plays a crucial role in network diagnostics, error handling, and control messaging.
Michael Carroll
Content Writer, PubNubInsightsOct 29, 2024
What is Real User Monitoring (RUM)?
Real User Monitoring (RUM) is a passive performance monitoring technique that captures, analyzes, and reports on user interactions with web applications in real-time. Unlike synthetic monitoring (which simulates user actions), RUM collects data directly from actual users, making it a vital tool for understanding...
Michael Carroll
Content Writer, PubNubInsightsOct 24, 2024
Data acquisition overview
Data acquisition (DAQ) involves gathering real-world analog signals from sensors or transducers, converting them into digital data using Analog-to-Digital Converters (ADC), and transmitting them to a computer or processing system for analysis, monitoring, or control.
Michael Carroll
Content Writer, PubNubInsightsOct 24, 2024
What are Data Insights?
Data insights are powerful revelations extracted from raw data that help businesses make more informed, strategic decisions. To drive successful decision-making, insights need to go beyond simple metrics, diving into patterns, trends, and the underlying story of the data. In this post, we’ll break down...
Michael Carroll
Content Writer, PubNubInsightsOct 22, 2024
Exploratory Data Analysis
Exploratory Data Analysis (EDA) is a fundamental step in data science that involves examining and summarizing the key characteristics of a dataset. It uses statistical methods and visual tools to explore data, identify patterns, detect anomalies, test hypotheses, and validate assumptions. EDA enables...
Michael Carroll
Content Writer, PubNubInsightsOct 22, 2024
What is anomaly detection?
Anomaly detection refers to the identification of items, events, or observations that deviate significantly from the norm or expected behavior within a dataset. These anomalies are often referred to as "outliers," "exceptions," or "rare events." The goal of anomaly detection is to distinguish unusual...
Michael Carroll
Content Writer, PubNub