Fast data is streaming data that arrives in real-time from various sources, such as mobile devices, sensor networks, telecom call routing and authorization systems, financial transactions, stock tickers, logs and retail systems. Companies across Telecom, Financial Services, Health/Medical, Energy and others rely on real-time applications built on fast data to make fast business decisions. More than 75% of companies are already using fast data solutions for streaming data processing. IBM offers a fast data database with real-time analytics, AI and machine learning tools to analyse real-time and historical data concurrently for faster and deeper insights.
FAQs About Fast Data
What is Fast Data?
Fast data refers to real-time data in motion, streaming into enterprises from various sources such as mobile devices, sensor networks, financial transactions, and stock tickers among others. Unlike big data which is data at rest, fast data needs to be processed as it streams in to enable businesses to make quick decisions.
How is Fast Data Different from Big Data?
Big data is typically processed using batch processing after it has been stored in a data warehouse. Fast data, on the other hand, needs to be processed in real-time as it streams in and typically requires event-driven applications and IoT technologies. Big data is data at rest while fast data is data in motion.
What is the Significance of Fast Data?
Real-time applications built on fast data are changing the game for businesses that depend on data, including healthcare, finance, telecommunication, and energy sectors among others. Fast data can provide businesses with deeper and faster insights allowing stakeholders to make quick decisions that can lead to a competitive advantage.
A recent study conducted by Forrester revealed that over 75% of respondents were already using fast data solutions. 88% of these respondents said they needed to perform near real-time analytics on stored data streams. These numbers show the growing significance of fast data solutions in today’s data-driven business world.
What Solutions are Available for Fast Data Processing?
IBM provides a fast data database that contains integrated real-time analytics, AI, and machine learning tools. The database allows for simultaneous analysis of real-time and historical data, enabling companies to take full advantage of fast data for deeper and faster insights.
In The end, Fast data is data in motion that needs to be processed in real-time to allow businesses to make quick decisions. It is different from big data, which is data at rest that is processed using batch processing. Fast data is significant in the data-driven business world and provides businesses with faster and deeper insights that can lead to a competitive advantage. IBM provides a fast data database solution that integrates real-time analytics, AI, and machine learning tools to allow for simultaneous analysis of real-time and historical data.