Dataversity published a great article entitled, “Streaming Analytics: Predictions of the Future” in which Steve Wilkes, founder and CTO of Striim, comments on the evolution of streaming analytics. The article highlights real-world streaming analytics use cases from the likes of Netflix in the areas of process optimization, customer experience management, QoS monitoring, and real-time revenue streams.
Key takeaways from the article include:
- By looking at the change data in the organization in real time – the changing event stream from corporate databases such as Oracle, MySQL and HP NonStop – companies are able to keep their finger on the pulse of their business at all times.
- Big Data won’t go away. However, it will be better served if data is pre-processed while it’s streaming, before it lands in Hadoop or on a Kafka message queue. Also, Big Data will add tremendous value as it’s used to provide context to streaming data.
- Many companies are looking to move toward a hybrid cloud model, which provides them with elastic scalability without the high cost of huge investments in infrastructure.
- The key to staying on top of the extreme volumes of IoT data is determining up-front what data is the right data for analysis, and what answers are required from that analysis to move the business forward.
Please click + READ MORE to read the entire article.