Graeme Malcolm

 

 


 

Graeme has been a trainer, consultant, and author for longer than he cares to remember, specializing in SQL Server and the Microsoft data platform. He is a Microsoft Certified Solutions Expert for the SQL Server Data Platform and Business Intelligence. After years of working with Microsoft as a partner and vendor, he now works in the Microsoft Learning Experiences team as a senior content developer, where he plans and creates content for developers and data professionals who want to get the best out of Microsoft technologies.

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Jan 22nd 2017

Learn how to use Azure Data Lake technologies to store and process big data in the cloud. Want to store and process data at scale? This data analysis course teaches you how to apply the power of the Azure cloud to big data using Azure Data Lake technologies.

Average: 4 (4 votes)
Self Paced

From querying and modifying data in SQL Server or Azure SQL to programming with Transact-SQL, learn essential skills that employers need. Transact-SQL is an essential skill for data professionals and developers working with SQL databases. With this combination of expert instruction, demonstrations, and practical labs, step from your first SELECT statement through to implementing transactional programmatic logic.

Average: 8.5 (2 votes)
Self Paced

Learn how to use Hadoop technologies in Microsoft Azure HDInsight to process big data in this five week, hands-on course.

Average: 2 (1 vote)
Self-Paced

Learn how to use Hadoop technologies like HBase, Storm, and Apache Spark in Microsoft Azure HDInsight to create real-time analytical solutions.

Average: 7.3 (3 votes)
Self Paced

Learn how to use Hadoop technologies in Microsoft Azure HDInsight to create predictive analytics and machine learning solutions. Are you ready for big data science? In this course, learn how to implement predictive analytics solutions for big data using Apache Spark in Microsoft Azure HDInsight. You will learn how to work with Scala or Python to cleanse and transform data, build machine learning models with Spark MLlib (the machine learning library in Spark), and create real-time machine learning solutions using Spark Streaming. Plus, find out how to use R Server on Spark to work with data at scale in the R language.

Average: 7 (3 votes)
Jul 4th 2016

Get started on your Data Science journey. Learn what it takes to become a data scientist. This is the first stop in the Data Science curriculum from Microsoft. It will help you get started with the program, plan your learning schedule, and connect with fellow students and teaching assistants. Along the way, you’ll get an introduction to working with and exploring data using a variety of visualization, analytical, and statistical techniques.

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