The need for streaming architectures and its challenges

Many times, as time passes by, the value of insights from data diminishes. Figure 4.1 represents the value of data to the decision-making process where, as time passes by, its value decreases:

Figure 4.1 – Time value of data toward decision making

For organizations to do real-time analytics, data needs to be ingested from the source, processed immediately, and stored in the destination as soon as the event occurs. This allows organizations to derive insights from the data in real time. The need to get data in real time has many advantages:

• Getting data in real time for analytics helps businesses make faster decisions and stay ahead of the competition
• Analyzing real-time data allows early detection of security threats and anomalies in the data
• IoT systems continuously send data in the form of events, and all this data needs to be captured and stored for analytics
• Log data...