Hello Community,

I'm sure you've heard that MarkLogic World is coming up in Chicago, London, and 
Tokyo. If you've never been, this video will give you an idea what people like 
about the event<https://www.youtube.com/watch?v=H01BMoZEzc4>.

Content

  *   Kurt Cagle wrote about Custom Functions in MarkLogic 
SPARQL<https://medium.com/metaphorical-web/custom-functions-in-marklogic-sparql-ad83a5bffdb9>
  *   Karl Erisman reviews MarkLogic 9's row-oriented views and the Optic 
API<https://www.linkedin.com/pulse/marklogic-9-introduces-row-oriented-views-optic-api-karl-erisman>
  *   Lee Pollington reviews XML's path through the hype curve in My Trusted 
Companion: XML (Which Is Now 
Everywhere)<http://www.marklogic.com/blog/why-i-love-xml-and-good-thing-its-everywhere/>

Software Releases

  *   MarkLogic versions 8.0-6.3<http://developer.marklogic.com/downloads> and 
7.0-6.9<http://developer.marklogic.com/products/marklogic-server/7.0> are 
available on DMC. Check 
help.marklogic.com<https://help.marklogic.com/Bugtrack/List> to see the list of 
fixes in these releases.
  *   Rob Rudin has released version 2.6.0 of 
ml-gradle<https://github.com/rjrudin/ml-gradle/releases/tag/2.6.0>,  his 
MarkLogic application deployment project
  *   Paxton Hare released version 1.1.1 of the Data Hub 
Framework<https://github.com/marklogic/marklogic-data-hub/releases/tag/v1.1.1>. 
If you haven't poked around with this project, take ten minutes and go through 
the tutorial<https://marklogic.github.io/marklogic-data-hub/> or watch MLU's 
video 
series<http://mlu.marklogic.com/ondemand/index.xqy?q=Series%3A%22Operational%20Data%20Hubs%22>.
 Time well spent.
  *   Rob Rudin strikes again. Looking for a simpler way to migrate from an 
RDBMS to MarkLogic? Rob's 
ml-migration-starter<https://github.com/rjrudin/ml-migration-starter>, 
currently available with a 1.1.0 release, is a starter kit for doing just that.
  *   Sanju Thomas presents a new project: 
kafka-connect-marklogic<https://github.com/sanjuthomas/kafka-connect-marklogic>,
 which lets you pull data from Kafka (stream processing) into MarkLogic.

Events

  *   Chicago, April 5: Data Hubs vs. Data Lakes - There's a difference! Which 
one is right for you?
  *   Webinar, May 4: Powering Content in the Publishing and Media 
Industries<http://www.marklogic.com/events/powering-content-publishing-media-industries/>

MLU
In case you missed their announcement, MarkLogic University is now offering 
half-day, hands-on workshops on Performance and on Data Modeling. This format 
is a great way to get hands-on practice guided by experts. Check out the 
schedule at https://mlu.marklogic.com/registration/.

Dave.

--
Dave Cassel, @dmcassel<https://twitter.com/dmcassel>
Technical Community Manager
MarkLogic Corporation<http://www.marklogic.com/>
http://developer.marklogic.com/
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