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Analytics on Azure: What to Use When Christina E. Leo
Azure offers a comprehensive set of big-data solutions that help you gather, store, process, analyse and visualise data of any variety, volume or velocity, so you can discover new opportunities and take quick action. In this overview session, we’ll look at the various components within Azure that make up the Modern Data Warehouse, enable Real-Time Analytics, and support Advanced Analytics scenarios. You should leave with a high level understanding of the capabilities and limitations of each of the products within the Azure Analytics portfolio.
The video is not available to view online.
Getting started with real-time analytics with Kafka and Spark in Microsoft Azure Joe Plumb
Real-time decisions enabled by massively scalable distributed event driven systems with embedded analytics are re-shaping our digital landscapes. But how do you know which technology to choose? We'll cover the fundamentals of streaming systems, how and why they can deliver value to your business, and a look at options for streaming analytics in Azure
Learn how to build a real-time analytics solution José Mendes
In this session we will learn which processes are required to build a real-time analytical model along with batch-based workloads, which are the foundation of a Lambda architecture.
An introduction to SQL Server for data scientists Gavin Payne
A little bit of knowledge about how SQL Server works can go a long way towards making large data engineering queries run faster.
Analyzing real-time data using Azure Streaming Analytics. Michael Johnson
Businesses today require real-time information to make better-informed decisions, this requires a new set of tools. In this session you will learn about Azure Stream analytics and how it can help address real-time data scenarios
Data Science For The DBA - Get Started Now Manohar Punna
If you are a DBA and want to get started with Data Science, then this session is for you. This demo-packed session will show you an end-to-end Data Science project covering the core technologies in Microsoft Data + AI stack.
Dont cross the streams, a closer look at Stream Analytics Johan Ludvig Brattås
This session takes a closer look at Azure Stream Analytics, and how you can make it work in your Projects.
How to Architect Azure for Insights & Analytics Mehmet Bakkaloglu
Selecting the right PaaS components in Azure
Scalable deep learning model training with Azure Batch AI Dr. Benjamin Keen
Deep learning is an essential component of an analytical toolbox. There are considerable challenges in training deep learning models and this presentation explores how to overcome these using Microsoft’s scalable ML offering, Azure Batch AI.
Text Analytics Of A Banks Public Reports Mark Wilcock
Text analysis of financial documents using R & Power BI.
Near real-time IoT Analytics of Pumping Stations in PowerBI Mehmet Bakkaloglu
An IoT analytics solution addressing real-life issues with SCADA data from a network of 600 Waste Water Treatment Plants and 100s of Pumping Stations. An end-to-end solution with Azure Data Warehouse, Azure Data Factory, Azure Analysis Services and PowerBI
Analytics Master Class-more exotic patterns in data Mark Whitehorn
Analytics is all about having a good set of analytical tools. Last year at Sqlbits I outlined 4 such tools, this session will expand on that set. We’ll cover Dark Data, Probability calculations, RFI
The video is not available to view online.
Cortana Intelligence Suite - from a guy on the team Buck Woody
Buck Woody will lead you around the Cortana Intelligence Suite showing you how to create intelligent actions from data.
The video is not available to view online.
Cut the R learning curve Steph Locke
There's base R, modern R, the Hadleyverse, R in SQL, and more - understanding where to begin can be an exercise in frustration and cost you valuable time. This session takes you through the R you need to be productive quickly.
The video is not available to view online.
SQL Server 2016 Hero Features in a Customer Scenario Marko Hotti
This sessions covers the SQL Server 2016 Hero Features and you will see a real customer scenario demo showcasing the Full Lifecycle of Financial Data.
The video is not available to view online.
Microsoft Analytics: The Next Wave Ben Wright-Jones
Come to this session to learn about the next wave of Microsoft’s analytic capabilities. Big data opens up great possibilities but do you have the right skills as a data scientist? Learn what Microsoft is doing in the analytics space
Building an infrastructure to support real-time OLAP Dr John Tunnicliffe
Users love flexible analytics but hate to wait for the data to be loaded into a traditional data warehouse. John will describe how to build an infrastructure to support real-time loading of your OLAP cubes so your user's get exactly what they want
Incremental Loading of Data using CDC in SQL Server 2012 Allan Mitchell
More data, less time, storing everything. These ingredients mean it is becoming imperative we do not move the kitchen sink everytime we do our ETL Come to this session to find out how.
SSRS vs Google Analytics. Decision making Emil Glownia
I will compare SSRS with Google Analytics (website traffic) and give real life data from my own websites which I will use to make real life decisions during the session (quarterly review) and show you how I analyze data to create "to do list"
The video is not available to view online.
StreamInsight Deep Dive Allan Mitchell
Look deep under the covers at what is involved when building a StreamInsight application.
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