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.
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
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.
A little bit of knowledge about how SQL Server works can go a long way towards making large data engineering queries run faster.
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
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.
This session takes a closer look at Azure Stream Analytics, and how you can make it work in your Projects.
Selecting the right PaaS components in Azure
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 analysis of financial documents using R & Power BI.
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 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
Buck Woody will lead you around the Cortana Intelligence Suite showing you how to create intelligent actions from data.
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.
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.
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
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
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.
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"
Look deep under the covers at what is involved when building a StreamInsight application.