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What we see in the current knowledge era is that the volume of data has increased tremendously but the amount of information extracted from the data hasn’t increased as much, which leads to a knowledge gap with the un-used data.
In this video, Aishwarya Srinivasan with IBM, explains how Data Virtualization in Data Fabric can help organizations access data at the source without moving data, accelerating time to value with faster and more accurate queries.
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4 replies on “Data Virtualization in Data Fabric”
What is the catch in data virtualization? I've heard terrible things about it.
Well explained Aishwarya.
More people should pay attention to these brilliant videos produced by IBM
Thanks one of the best videos I have seen today.
I have a question is does the technology apply to edge devices that are running containers. I am an Avocado Farmer using edge systems that are located at the site. Many of the sites that comprise Avocado fields are located on sites where cell phone connections are required and cell phone data rates are at the ragged edge (enough to read the wireless electric meters). Since the control system has to be 7/24, control and processing have to be done at the edge. Moving data up to the cloud is not ideal as the work at the edge has to be duplicated at the cloud as well the cell phone cost in moving data the data to the cloud
The processing at the edge is micro-service-based processing much like the cloud. As with the cloud, MQTT data inputs are going to be put in Kafka-like structures ( at the edge these structures would be represented by Redis, Postgres, or Influxdb data sources) for application processing. There would be a great advantage in tapping into these streams by the cloud so that aggregation of site data could be done at the cloud and control operation be done at the edge. Data traffic on the cellular network would be reduced as only aggregate data be returned instead of bulk data. So rather than tapping into bulk data, one is tapping into the microservice stream much like a local environment
Can the data idea fabric be applied to this type of environment? If it can it would solve a lot of problems. I worked on and my friend still does where as many as a thousand units are in retail chains. Since the mid '90s' we have not been able to solve this problem very well.
Either way, I am grateful for this video. This video gave me a new word. ( The IBM Edge Video gave me a keyword, with the definition of an Edge system being a computer at the edge that runs containers with the free capacity to run applications that are normally done at the edge.) Been trying to convey a processing architecture for 5 years and the right words allow the concepts to be more easily conveyed
Again thank you