Six Best Practices for Harnessing Real-Time and Streaming Data Pipelines
As competitive pressures increase, many organizations want to leverage higher volumes of diverse data for analytics and new applications, including real-time and streaming data.
Streaming data refers to data that is generated continuously in a stream, typically at high volume, either at regular or irregular intervals. Working with streaming data may involve capturing multiple streams for later analysis or processing, or analyzing one or more streams in real time—for example, to immediately capture data that deviates from the norm.
Successful applications of streaming data can improve operational processes and reduce costs by quickly identifying problems. They can help organizations improve the customer experience and provide new and innovative applications that can add to a company’s bottom line. Yet organizations face difficulties using their current data platforms, integration, and management to handle real-time data streaming.
This TDWI Checklist Report examines six important considerations and best practices for managing streaming data for real-time use.
