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Data Intuitive
WRITING WORKFLOW: MARKDOWN, PANDOC, LATEX AND THE LIKES | DATA INTUITIVE
http://www.data-intuitive.com/2013/06/writing-workflow-markdown-pandoc-latex-and-the-likes
Writing workflow: Markdown, Pandoc, LaTeX and the likes. You wouldn’t tell from the updates on this website, but I’m actively writing again. Offline, that is, the online part is for later. For now, I want to share my experience improving my writing workflow. In the past, I used LaTeX. I’m now in a situation that any writing (technical, scientific and even prose) can be done in the same way, delivering results in PDF, html or even MS Word:. It usually starts in iA Writer. For instance), formulas. Ok, I he...
WRITING WORKFLOW AND REPRODUCIBLE DATA ANALYSIS | DATA INTUITIVE
http://www.data-intuitive.com/2014/09/writing-workflow-and-reproducible-data-analysis
Writing Workflow and Reproducible Data Analysis. I’ve been writing about my writing. Since some aspects of it are related to reproducible research and especially reproducible data analysis, I have collected some material and tips. In a presentation I gave last week on my Github. One aspect that I did not yet mention there, is how I approach this on my Mac. This depends a little bit on what type of text I’m writing. Data analysis is usually done within RStudio. But sometimes also in Sublime Text.
RUNNING DOCKER ON MACOSX | DATA INTUITIVE
http://www.data-intuitive.com/2013/11/running-docker-on-macosx
Running Docker on MacOSX. I found out about docker. This morning via the blog of the people behind AMPlab. Creators of Spark and such. In short (because it’s actually much more than this) it lets you run a Spark/Shark cluster (pre-built! I want to use it to experiment with a (virtual) Spark/Shark cluster on my laptop. Isn’t that cool? Unfortunately, docker is built for Ubuntu. Fortunately, there are instructions on how to set it up on other systems. Two things needed to be done before I got it to work:.
PUBLISHING HTML PRESENTATIONS ON GITHUB | DATA INTUITIVE
http://www.data-intuitive.com/2014/07/publishing-html-presentations-on-github
Publishing html presentations on Github. You’ve seen those fancy html presentations. Is a framework to create such things of beauty. And it goes along well with my Markdown. Based style of writing, even for presentation slides. I usually create the presentations on my laptop, using Pandoc. To convert to html. In principle, this should be ready for the web by default. If only I had an easy hosting solution to move it to. Http:/ username .github.io/ projectname. This is what Github calls a. For this, link.
CODE SNIPPET REPOSITORY | DATA INTUITIVE
http://www.data-intuitive.com/2015/05/code-snippet-repository
I’m jumping between Scala/ Spark. Coding, some Javascript in between, Python/PySpark and then some R. Every now and then. This in itself is already a challenge, but the worst thing is that I frequently encounter situations where I think:. I’ve encountered this situation before. In many cases, it’s a situation that required quite some work to resolve. You end up with two possibilities: 1) retrieve the solution from some code somewhere on your harddisk or 2) start finding the solution again from.
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Spark
http://tverbeiren.github.io/BigDataBe-Spark
Me, Myself and I. Distribution is hard . Word Count in M/R. We could just write. Val y = x map () reduce (). This could be extended. Val y = x map () filter() map () flatMap () reduce (). What would be needed? V10 released on May 30d 2014. Text{P}( text{hitting circle}) approx text{Surface circle} = frac{ pi}{4} ]. From the Spark examples. Hadoop M/R in Spark. In Spark, we would use:. Val file = textFile(Joyce-Ulysses.txt) val words = file.flatMap( .split ) val mapped = words map (word = (wor...Val file ...
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Business Transformation through Business Intelligence. We provide advanced data services. And the SMART Transformation. Replacement and transfer arrangements in line with the FCA best practice guidance. Helping advisers overcome the key data, process and resource barriers to unlock more value from their business. Data Improvement and Validation. Discover Clients and Plans you either didn’t know you had or didn’t know were so valuable. Merge acquired business and client banks into your existing database?
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HOME | DATA INTUITIVE
Data where applicable, Intuition where needed. Viz and Math in Apache Zeppelin. For some years, I have been going back an forth between Spark-Notebook and Apache Zeppelin for different use-cases. Already 2 years ago, I made a little comparison of the two technologies. I used Spark-Notebook in order to do develop the. Data Intuitive at Spark Summit 2016. Bullet Proof Data Science in Scala. A Practical Approach to Model Error. Thoughts on the Spark Summit Europe 2015. New site after two weeks. I’ve been ru...
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Canada Post - Customer. Shred-it â Distribute financial. Arvato - Vendor Managed. Tyson Foods - reporting. RIM - Full load of logistics. RIM - Delivery Performance. Digest of past DATA-iQ projects. DATA-iQ is a project centric. Let´s start a conversation! To do it right, we offer a Complimentary BI Strategy Conversation. Let’s Start Conversation. We solve our clients´ business intelligence technology challenges end-to-end. We are a project centric. Discover the DATA-iQ Diff. With DATA-iQ approach there r...
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