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August 26, 2016. We didn’t spend much time talking about Atlases originally, because interest in NoSQL-style computation seemed to be on the wane. Recently, however, we’ve had a lot of requests for those sorts of applications, and so a detailed description seems in order. (If you’ve come across any interesting problems like that in your work, tell us about them. A JSON array of objects. Awkward tabular representation of the JSON array. In Kerf we use the term Map to refer to what JSON calls an Object.

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August 26, 2016. We didn’t spend much time talking about Atlases originally, because interest in NoSQL-style computation seemed to be on the wane. Recently, however, we’ve had a lot of requests for those sorts of applications, and so a detailed description seems in order. (If you’ve come across any interesting problems like that in your work, tell us about them. A JSON array of objects. Awkward tabular representation of the JSON array. In Kerf we use the term Map to refer to what JSON calls an Object.

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Kerf blog | getkerf.wordpress.com Reviews

https://getkerf.wordpress.com

August 26, 2016. We didn’t spend much time talking about Atlases originally, because interest in NoSQL-style computation seemed to be on the wane. Recently, however, we’ve had a lot of requests for those sorts of applications, and so a detailed description seems in order. (If you’ve come across any interesting problems like that in your work, tell us about them. A JSON array of objects. Awkward tabular representation of the JSON array. In Kerf we use the term Map to refer to what JSON calls an Object.

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getkerf.wordpress.com

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Kevin Lawler | Kerf blog

https://getkerf.wordpress.com/author/kevinlawler

Author Archives: Kevin Lawler. August 26, 2016. We didn’t spend much time talking about Atlases originally, because interest in NoSQL-style computation seemed to be on the wane. Recently, however, we’ve had a lot of requests for those sorts of applications, and so a detailed description seems in order. (If you’ve come across any interesting problems like that in your work, tell us about them. A JSON array of objects. Awkward tabular representation of the JSON array. To create a table, and the related.

2

Atlas Data Structure | Kerf blog

https://getkerf.wordpress.com/2016/08/26/atlas-data-structure

August 26, 2016. We didn’t spend much time talking about Atlases originally, because interest in NoSQL-style computation seemed to be on the wane. Recently, however, we’ve had a lot of requests for those sorts of applications, and so a detailed description seems in order. (If you’ve come across any interesting problems like that in your work, tell us about them. A JSON array of objects. Awkward tabular representation of the JSON array. In Kerf we use the term Map to refer to what JSON calls an Object.

3

An Introduction to Combinators | Kerf blog

https://getkerf.wordpress.com/2016/02/09/an-introduction-to-combinators

February 9, 2016. An Introduction to Combinators. One of the most powerful features of Kerf. Depending on how the interpreter is implemented, you may have to parse each line in the loop for every iteration in the loop; you have to evaluate test conditions, maintain state and so on. Timing(1) a:rand(1000000,1.0) fold a 1ms. This is a trivial application, but it illustrates the power of the idea, and its speed in action. Tell the interpreter to do a lot of things at once, and it will be done at close t...

4

Kerf meets the smartgrid | Kerf blog

https://getkerf.wordpress.com/2016/05/16/kerf-meets-the-smartgrid

May 16, 2016. Kerf meets the smartgrid. Let’s say we have some simple meter data with the average power usage per installation. No temperature or weather data here, so we’ll pretend these things are not important. KeRF meta table(smeter) column type type name is ascending is disk Power -3 float vector 0 1 time -4 stamp vector 0 1 installation 8 enum 0 1 len smeter 21894311. The snippet of result I included from the selection gives the average power for different months and hours for each meter installati...

5

String Interning Done Right | Kerf blog

https://getkerf.wordpress.com/2016/02/22/string-interning-done-right

February 22, 2016. String Interning Done Right. The common method for interning strings breaks in fantastic ways. In Kerf. We’ve taken the old method and revised it for success in the current generation of languages. One benefit of string interning is that you don’t waste space if you’re storing the same long string over and over again. One really bad thing about string interning is that you usually can’t get rid of any string you’ve seen. If your language is naively storing pointers, you have no way...

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kerfsoftware.com

Team - Kerf

http://www.kerfsoftware.com/team.html

Kerf is the result of decades of research into time-series, array programming, data science and interpreter and database design. A precursor language to Kerf called Kona was started around 2009. Kona was open-sourced in Summer 2010 and improved upon with the community for the following four years. Lessons from Kona would inspire Kerf. The first lines of code for Kerf were written in Summer 2014. Kerf officially launched as a product in Spring 2015. You may be interested in an explanation of the Kerf name.

kerfsoftware.com

Consulting - Kerf

http://www.kerfsoftware.com/consulting.html

New installations, migrations from existing technology and data, training, support. Data architecting, transaction cost analysis, compliance and backoffice reports. New projects or products in Kerf. Get your hedge fund off the ground and running in a shorter amount of time using Kerf. We can accelerate the start of hedge funds, prop trading shops, or algorithmic trading operations. Create a free website.

kerfsoftware.com

Kerf demo - Kerf

http://www.kerfsoftware.com/demos.html

For a paid demonstration of Kerf ask us at demo@kerfsoftware.com. Some video demonstrations of Kerf in action:. Here are some basic queries on stock market order book data from Nasdaq TAQ. Further explorations on TAQ data; using Kerf to calculate basic statistics of interest to traders. Some information on how Kerf deals with text files. Demonstration of a Bloomberg B-PIPE data feed used as a ticker plant. Create a free website.

kerfsoftware.com

Use Cases - Kerf

http://www.kerfsoftware.com/use-cases.html

Keep the full historical record of ticks, or bucket it however you like. Trades, quotes, meter data, customer transactions, etc. ANALYTICS / COMPLEX EVENT PROCESSING (CEP). Access a wide library of mathematical functions for performing statistical tests and other analytics. Discover actionable signal in the data. At scale. Relay data to customers at scale. Parse data in any delimited format, including TAQ or JSON. Layer on analytics and data cleansing as necessary. REAL-TIME TICK DATABASE AND SUBScRIBERS.

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Kerf blog

August 26, 2016. We didn’t spend much time talking about Atlases originally, because interest in NoSQL-style computation seemed to be on the wane. Recently, however, we’ve had a lot of requests for those sorts of applications, and so a detailed description seems in order. (If you’ve come across any interesting problems like that in your work, tell us about them. A JSON array of objects. Awkward tabular representation of the JSON array. In Kerf we use the term Map to refer to what JSON calls an Object.

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