Big Data on Azure with No Limits Data, Analytics and Managed Clusters

HDInsight   Reliable with an industry leading SLA Enterprise-grade security and monitoring Productive platform for developers and scientists Cost effective cloud scale Integration with leading ISV applications Easy for administrators to manage   Resources & Hands on Labs for teaching https://github.com/MSFTImagine/computerscience/tree/master/Workshop/7.%20HDInsight Cluster Types available on Azure Hadoop Governed by the Apache Software Foundation Core services:…

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Data on Azure

  Simply put the choice of database is now huge! Data on Azure is also a huge area with lots of technologies both Microsoft and Open Source being available Architecture of Data services on Azure Different databases are designed to solve different problems. Using a single database engine for all of the requirements usually leads…

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Microsoft Azure Stack is a new hybrid cloud platform product that enables organisations to deliver Azure services from their own datacenter

  This week I got into a discussion around Data Centre strategy. The institution in question, where this happened are presently defining a new strategy on datacenters. The institution is presently considering a cloud option but one of their key requirements is that they maintain an on premise datacenter. During the discussion I simply made…

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Migrating data between different cloud providers

I wanted to share a few options to how you can easily migrate data between various cloud providers such as Google or Amazon to Microsoft Azure. For various reasons, many customers want the ability to easily and efficiently move data from other providers or services such as  Amazon Web Services’ Simple Storage Service (S3) to…

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OpenStack and Azure – Hybrid Data Centers

OpenStack is the most widely deployed open-source software for building and managing public and private clouds, and one of the fastest growing open-source projects in history. OpenStack is a collection of community driven, open-source cloud computing projects that meets your private cloud needs for Windows & Linux applications, and can extend to public cloud environments….

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Microsoft Azure Data Science Virtual Machine with Theano and Keras

  Dependencies Before getting started, make sure you have the following: Azure Data Science Virtual Machine Deep Learning Toolkit CUDA 7.5 (link) Python & Anaconda already pre installed on the DSVM  Compilers for C/C++ already preinstalled on the DSVM GCC for code generated by Theano Visual Studio already preinstalled on the Windows DSVM The data…

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Implementing an Agile Methodology for managing your Institutions Data Science Processes

Microsoft’s Team Data Science Process (TDSP) is an agile, iterative data science methodology to deliver predictive analytics solutions and intelligent applications efficiently. The intention of TDSP is aimed to improve team collaboration and learning. TDSP is a distillation of the best practices and structures from Microsoft and others in the industry that facilitate the successful…

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Free data sets for Azure Machine Learning

  One of the key things students need, for learning how to use Microsoft Azure Machine learning,  is access sample data sets and experiments. At Microsoft we have made a number of  sample data sets available. These data sets are used by the sample models in the Azure Cortana Intelligence Gallery. Some of these data…

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Cortana Intelligence Suite and learning Azure ML, Jupyter notebooks with R and Python

With Cortana Intelligence Suite, students had access to a rich set of tools such as Azure ML, Jupyter notebooks with R and Python, and rich visualization capabilities with Power BI. At each of our hacks, students were given access to a collection of local data sets and challenged to develop a useful predictive analytical application….

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Data Science Game 2016 – An international student challenge for Data Science

This year, prove your worth to the ever growing international big data community join us for the 2016 edition of the data science game –  An international data science student challenge to solve data-driven issue and develop your skills BUILD A TEAM OF 4 STUDENTS – HANDLE DATA PROVIDED BY OUR PARTNERS Try to answer…

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