Subsurface event reveals what lies below the cloud data lake

There is substantially desire in cloud info lakes, an evolving technologies that can empower organizations to superior handle and examine info.

At the Subsurface virtual convention on July thirty, sponsored by info lake engine seller Dremio, organizations like Netflix and Exelon Utilities, outlined the systems and techniques they are using to get the most out of the info lake architecture.

The standard assure of the present day cloud info lake is that it can independent the compute from storage, as very well as assist to avoid the danger of lock-in from any one vendor’s monolithic info warehouse stack.


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Intel Tiger Lake CPUs will deliver twice the graphics performance of Ice Lake | TechRadar

Intel’s incoming eleventh-era Tiger Lake-U mobile processors will present 2 times the graphics efficiency of 10th-gen Ice Lake chips, in accordance to leaked benchmarks.

Notebookcheck acquired its hands on 3DMark Fireplace Strike Effects which reveal that Intel Xe Gen12 graphics, built-in into Intel’s incoming Tiger Lake-U processors, will present 2 times the efficiency of Ice Lake’s crafted-in GPU. 

Intel’s lowest-end Core i3 processor, which will function 48 execution models (EU), will apparently present twenty% more rapidly graphics efficiency than the Iris Plus Graphics G7 with 64 EUs on the chipmaker’s Core i7 Ice Lake processor, in accordance to the report. 

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MTU Oceanographer Addresses 80 Years of Lake Levels at High Water Summit Town Hall

Engineer Guy Meadows will discuss Michigan’s lake levels from 1938 to present and inform
coastal communities, property owners and community planners at second Michigan High
Water Summit town hall April 28.

A second Michigan High Water Summit webinar town hall will focus on Great Lakes shoreline
erosion and permitting. Registration is open and limited to 1,000 attendees. The webinar
is from 5-6:30 p.m. on April 28. Visit the Michigan Department of Environment, Great
Lakes and Energy (EGLE) high water levels website to register for the webinar and for additional information.

A map depicting the shoreline near Benton Harbor upon which are overlaid lines which show how the shoreline has changed since 1938.
Bluff retreat risk projections near Benton Harbor. The blue line
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Is your data lake open enough? What to watch out for

A data lake is a system or repository that stores data in its raw format along with transformed, trusted data sets, and provides both programmatic and SQL-based access to this data for diverse analytics tasks such as data exploration, interactive analytics, and machine learning. The data stored in a data lake can include structured data from relational databases (rows and columns), semi-structured data (CSV, logs, XML, JSON), unstructured data (emails, documents, PDFs), and binary data (images, audio, video).

A challenge with data lakes is not getting locked into proprietary formats or systems. This lock-in restricts the ability to move data

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