880 search results for "sql"

Combining Hadoop, Spark, R, SparkR and Shiny…. and it works :-)

July 9, 2015
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Combining Hadoop, Spark, R, SparkR and Shiny…. and it works :-)

A long time ago in 1991 I had my first programming course (Modula 2) at the Vrije University in Amsterdam. I spend months behind a terminal with a green monochrome display doing the programming exercises using VI. Do you remeber Shift … Continue reading →

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Combining Hadoop, Spark, R, SparkR and Shiny…. and it works :-)

July 9, 2015
By
Combining Hadoop, Spark, R, SparkR and Shiny…. and it works :-)

A long time ago in 1991 I had my first programming course (Modula 2) at the Vrije University in Amsterdam. I spend months behind a terminal with a green monochrome display doing the programming exercises using VI. Do you remember Shift … Continue reading →

Read more »

Online Dashboards: Eight Helpful Tips You Should Hear From Visualization Experts

July 8, 2015
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Online Dashboards: Eight Helpful Tips You Should Hear From Visualization Experts

“There is no such thing as information overload, only bad design” - Professor Emeritus of Political Science, Statistics, and Computer Science at Yale University Edward Tufte The number of organizations working on data-driven projects increased by 125% in the past year. 44% of companies tackle big data “all the time.” 82% of executives call big data “important...

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Job opening with Morningstar’s behavioral science team

July 8, 2015
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Job opening with Morningstar’s behavioral science team

Morningstar is looking for an applied behavioral scientist, to help understand and overcome the behavioral obstacles that individuals face to financing their retirement. The post Job opening with Morningstar’s behavioral science team appeared first on Decision Science News.

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Sports Data and R – Scope for a Thematic (Rather than Task) View? (Living Post)

July 7, 2015
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Sports Data and R – Scope for a Thematic (Rather than Task) View? (Living Post)

Via my feeds, I noticed a package announcement today for cricketR!, a new package for analysing cricket performance data. This got me wondering (again!) about what other sports related packages there might be out there, either in terms of functional thematic packages (to do with sport in general, or one sport in particular), or particular

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SparkR with Rstudio in Ubuntu 12.04

July 3, 2015
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SparkR with Rstudio in Ubuntu 12.04

Welcome to the blog post! It’s been long time since I wrote last post. I was recently searching about big data with R and I found sparkR package. Few months back I heard about it and it was a separate project on github. Databricks is actively working on sparkR package. They officially announced its integration The post SparkR...

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Persistent data storage in Shiny apps

July 1, 2015
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This article is also published on RStudio’s Shiny Articles Shiny apps often need to save data, either to load it back into a different session or to simply log some information. However, common methods of storing data from R may not work well with Shiny. Functions like write.csv() and saveRDS() save data locally, but consider how

Read more »

Persistent data storage in Shiny apps

July 1, 2015
By

This article is also published on RStudio’s Shiny Articles Shiny apps often need to save data, either to load it back into a different session or to simply log some information. However, common methods of storing data from R may not work well with Shiny. Functions like write.csv() and saveRDS() save data locally, but consider how

Read more »

useR 2015: Computational

July 1, 2015
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useR 2015: Computational

These are my initial notes from useR 2015. I will/may revise when I have time. Computational Performance; Chair: Dirk Eddelbuettel Running R+Hadoop using Docker Containers (E. James Harner) Introduction Big data architectures: HDFS/Hadoop: software framework for distributed storage and distributed processing Tachyon/Spark: uses in-memory Rc2 server (R cloud computing) Has an editor & output panel.

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useR 2015: Computational

July 1, 2015
By
useR 2015: Computational

These are my initial notes from useR 2015. I will/may revise when I have time. Computational Performance; Chair: Dirk Eddelbuettel Running R+Hadoop using Docker Containers (E. James Harner) Introduction Big data architectures: HDFS/Hadoop: software framework for distributed storage and distributed processing Tachyon/Spark: uses in-memory Rc2 server (R cloud computing) Has an editor & output panel.

Read more »

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