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Power BI Custom Visuals Class (Module 96 – Enlighten Waffle Chart) - SQLServerCentral

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Enguerran D's insight:

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Netflix : comment fonctionne l'algorithme de recommandations ?

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Netflix a popularisé la pratique du binge-watching, laquelle consiste à regarder en continu plusieurs épisodes d’une série, des heures durant. Mais pour en arriver là, la société collect

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Pachyderm 1.7: – Pachyderm Data –

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Today, we’re pleased to announce Pachyderm 1.7! Install it now or migrate your existing Pachyderm deployment. For those new to the project, Pachyderm is an open source and enterprise data science…

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Jupyter Notebook Tricks for Data Science that Enhance your efficiency

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As I am taking the great fast.ai course about deep learning, I learn a lot of neat things that can be applied to general software engineering. I am writing this article to summarize these skills and…

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A Beginner’s Guide to Data Engineering — Part II –

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In A Beginner’s Guide to Data Engineering — Part I, I explained that an organization’s analytics capability is built layers upon layers. From collecting raw data and building data warehouses to…

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Top 74 Data Visualization Software in 2018

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Top Data Visualization Software : 2017 Review of 74+ Top Data Visualization Software and Top Free Data Visualization Software including Top Data Visualization Software : Sisense, Power BI Pro, SQL Server Reporting Services, Tableau Desktop, Tableau Online, Periscope Data, Yellowfin, Logi Info, Logi Vision, Logi DataHub, Adaptive Insights, Datapine, Attivio, BellaDati, Pyramid Analytics, Datameer, QlikTech, Pentaho, IBM Cognos Analytics, IBM Watson Analytics, MicroStrategy, Information builders FOCUS, Tibco Spotfire Cloud, Tibco Spotfire Platform, Domo, Targit, Birst, Prognoz, Bitam, Oracle Business Intelligence, Oracle Business Intelligence Publisher, SAS, GoodData, SAP BusinessObjects Lumira, SAP BusinessObjects Cloud, SAP Crystal Reports, OpenText Actuate Information Hub, Panorama Necto, 1010Data Insights, Exago, Host Analytics, Zoho, Phocas Software, Quadbase Systems, Board, Jinfonet, AtScale, Kyvos Insights, Arcadia Data, ThoughtSpot, Metric Insights, Dundas, InetSoft, InetSoft Style Scope, Dimensional Insight, Dimensional Insight Measure Factory, Halo, Halo Cloud, Ducen, Izenda, Jedox in no particular order.Top Free Data Visualization Software : Power BI, Power BI Desktop, Tableau Public, Prognoz, IBM Watson Analytics,InetSoft's Style Scope Agile Edition, InetSoft's Visualize Free, Arcadia Data, QlikView Personal Edition, Qlik Sense Desktop,Zoho Reports, icCube Community, Yellowfin on AWS or Azure in no particular order.

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Eye of data — the beginning – Ana –

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I loved chemistry, math and working in a laboratory. I was really passionate about it. I could do these things all day and it would be a great day. As I enrolled in my Master’s Degree in…

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What data visualisation has taught me so far –

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ve learned so much that sometimes it’s difficult to explain every little detail. So I thought I’d start by writing about the fundamentals of making a good and accurate visualisation I’ve gathered so far. I’m writing this for everyone that might be interested in this topic and, as me, is still in the beginning.

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A Beginner’s Guide to Data Engineering — Part I – Robert Chang –

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The more experienced I become as a data scientist, the more convinced I am that data engineering is one of the most critical and foundational skills in any data scientist’s toolkit. I find this to be…

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Reproducible Data Dependencies for Python [Guest Post]

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The open-source community has developed strong foundations for reproducible source code. Git supports versioning, GitHub supports collaboration. PyPI and Conda deliver code in immutable packages…

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Sentiment Analysis with PySpark –

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One of the tools I’m deeply interested but haven’t had many chances to explore is Apache Spark. Most of the time, Pandas and Scikit-Learn is enough to handle the size of data I’m trying to build a…

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La puisssance du « real time operational analytics » | BI experience

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Depuis SQL server 2016, Microsoft nous met à disposition un nouveau système d'analyse. Ce système a pour objectif de plugger, en temps réel, un cube

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How to rewrite your SQL queries in Pandas, and more

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Fifteen years ago, there were only a few skills a software developer would need to know well, and he or she would have a decent shot at 95% of the listed job positions. Those skills were: SQL was a…

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Visualize World Trends using Seaborn in Python –

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Study and analysis of the data is the very first step of any data science work. You need to get the general information about the nature and distribution of the data to plan your workflow…

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15 Easy Solutions To Your Data Frame Problems In R (article) - DataCamp

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Discover how to create a data frame in R, change column and row names, access values, attach data frames, apply functions and much more.

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JupyterLab is Ready for Users –

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We are proud to announce the beta release series of JupyterLab, the next-generation web-based interface for Project Jupyter. Project Jupyter exists to develop open-source software, open standards…

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How to write a production-level code in Data Science?

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Ability to write a production-level code is one of the sought-after skills for a data scientist role— either posted explicitly or not. For a software engineer turned data scientist this may not sound…