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NanoDx™ Announces Licensing Collaboration with IBM Research for the Design and Manufacturing of Nanoscale Sensors for Rapid Diagnostic Testing
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For Massive Analytics: Precompute or Virtualize?
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Performing analytics directly from the data lake
Minimizing ETL and skipping the data warehouse
Assembling query results from back end systems as needed
Precomputation focuses on query response time (faster queries) by:
Precomputing query results and making them available in pre-aggregated tables
Compute results once, serve many times - thereby reducing the number of queries
Enabling fast response times for querying data in data lakes or data warehouses
Both approaches have merit, and there may be good reasons to consider both depending on your requirements. Do you need to query faster? Or do you need faster queries? In the cloud era, where literally every operation has an associated cost, it is important to know the difference.
11 May
IBM has just popped the lid on 2nm technology. As a research partner, it might help Intel catch up with TSMC.
IBM’s unveiling of the world’s first 2nm-node chip might be just what the doctor ordered for Intel. Having embarked on a mission to regain leadership in the semiconductor industry, the processor maker desperately needs to catch up to TSMC in process technology. Thanks to the recently announced research collaboration with Big Blue, the 2nm chip could help to make up ground.
IBM bowed out of semiconductor manufacturing in 2014, paying Globalfoundries 1.5 billion dollars to take the ailing chipmaking unit off its hands. The company, however, didn’t stop developing advanced semiconductor technologies. On the contrary: partnering with public and private parties at its R&D facilities in Albany, New York, it continues to work at the forefront of semiconductor innovation. Samsung has been a long-standing partner in this ecosystem, while former rival Intel joined last
There’s a general consensus that containers are poised to become the dominant artifact that will be employed to run software on Internet of Things (IoT) platforms. The devil, in terms of achieving that goal any time soon, is as always in the details.
Understanding Containers
Containers enable developers to encapsulate software in a lightweight artifact that can run anywhere. That’s crucial because IoT environments are made up of a wide range of hardware that run a wide variety of operating systems. Attempting to package software in a unique way for each platform is cost prohibitive.
However, getting containers to run on an IoT platform is one thing, managing fleets of IoT platforms loaded with containerized applications is quite another. At the most basic level, IT teams need to appreciate the simple fact that IoT platforms come in all shapes and sizes ranging from a hyperconverged infrastructure (HCI) platform deployed at the network edge to a device that requires a speci
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