Find out how a major UK hotel chain unified their wildly different sources of data to build a supercharged analytics and pricing engine to power their business. Find out how Cosmos and Databricks helped them get to know their customers, how best to retain them, and how best to keep them happy, all while ensuring GDPR compliance and the right to be forgotten.
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.
The Microsoft Power BI and Analytics team present an interactive Q&A session
Azure Stream Analytics is a fully managed serverless offering that enables customers to perform real-time data transforms and hot-path analytics using a simple SQL language. In this session, we will show how to combine SQL reference data to augment data coming from devices and create real-time alerts, leverage partitioning to write data to SQL at high speed, and create real-time dashboards.
Azure introduces a range of new services for transaction processing and analytics solutions which mean we don’t need to deploy virtual machines. This session provides insight into how we see customers deploying evergreen and futureproof solutions.
Why do you need anything more than SQL Server? We will discuss what factors influence platform choices, such as data and processing scaling and open source tool chains that include Hive and Spark.  This session will include a quick overview of HDInsight and some of the tools that SQL Developers can use to interact with it, as well as some best practices and gotchas. There will be a short demo on some of the tool choices.
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.
We will showcase the latest feature of SSIS 2017 such as connectors for Azure Data Lake Store (ADLS), Azure SQL Data Warehouse (SQL DW), SSIS Scale-Out at package level for the box product as well as the SSIS package execution on Azure Data Factory
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
Common performance issues with clustered columnstore index experienced by customers and strategies to address them.
See the Magic of high-end analytics on any device, on any data source, using any database. Built in machine learning makes sophisticated analytics simple. Collaborate across the enterprise with easy implementation and real self-service analytics.
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.
I walk through the database services in Azure and how to characterize a workload to make the right DBaaS selection for your use case.
Pyramid Analytics BI Office’s Enterprise BI Platform and PrecisionPoint’s data warehousing solution for MS Dynamics ERP systems combine to deliver simplified access to key Business and Financial data.
Learn the ins and outs of Azure Data Lake in this deep dive
Industry independent analysts say “Pyramid Analytics is essentially the best-in-class, on-premises offering for Microsoft BI today and tomorrow” What does this mean for you and PowerBI?
Demonstrating an end to end IoT solution providing real-time sensor data from a Raspberry Pi into an Azure IoT Hub, through Stream Analytics, then with outputs to Power BI and SQL DB. Learn how to build this simplified IoT solution from scratch.
The world’s largest enterprises run their critical business operations on SAP. See a demo of how to replicate SAP data to the Microsoft platform, avoiding the challenges of the complex underlying data models and structures.
SQL Server vNext R Services and the new MicrosoftML package
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
See how Azure Data Factory orchestrates the movement of data in Azure, with a case study from a Microsoft partner.
There are some little-known but very useful ways of extracting information from data. This session will cover: • Monte Carlo simulations • Nyquist’s Theorem • Simpson’s paradox • Benford’s Law These will rock your world (they certainly rocked mine).
Azure stream analytics is a new Azure service for analyzing streaming data.
Azure Machine Learning is a fully managed cloud service for predictive analytics. In this 1hour session, we will run through; ML Studio,using data, Creating and running Experiments, visualising results, R , publishing and using experiments.
Does the concept of analytics make you nervous? Are you being asked to do more advanced analysis with existing tools? Come learn how to take your predictive capabilities to the next level with new azure technologies.
According to The New York Times, data scientists may spend as much as 80% of their time on “data janitor work.” Attend this session and discover five ways you can become the data hero in your organisation.
BI Office can help you achieve your quest for insights and timely business information. By demonstrating how to build a BI Solution, this session will show you how BI Office can make you a BI Superhero in your organisation
In this session Pyramid analytics will show how to use BI Office to easily build an adhoc Analysis Services Tabular Edition analytic data set and perform associative analysis using the unique features of BI Office.
Attend this session to learn more about Governed Data discovery, get an overview of BI Office and find out why so many Microsoft customers are investing in this innovative BI Platform.
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
Excel is “The” analytical tool in Microsoft suite for advanced analysts. This session introduces Excel 2013 and 2010 business intelligence capabilities.
This session will introduce you to the Pyramid Analytics Platform and Architecture and demonstrate some of its innovative and game changing capabilities, from analytics to dashboards to reporting, with full central management and control.
PowerPivot is a breakthrough for self-serve BI but is not easily deployed in the enterprise. Join us for this fast-paced, technical demonstration on how to upgrade PowerPivot into secure and scalable Analysis Services tabular cubes
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
But were afraid to ask. Pyramid Analytics burst onto the Microsoft BI scene with not only a full roadmap for ProClarity users, but also with cube driven dashboards that offer rich functionality – yet are easy to design and deploy by business users.
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.
Join X-IO to learn how customers like Redknee and Temenos are combining SQL Server 2012 with X-IO intelligent storage to generate higher performance at significantly less cost. Learn why storage is on the verge of a revolution.
The technique of Recency Frequency Intensity/Monetary is a powerful analytical technique for identifying data patterns as well as business performance. An introduction to the technique will be given, however the main focus of the session will be on demonstrating on how RFI/M can be performed using a number of SQL features such as Data Windowing, the OVER clause and PARTITION BY, CROSS APPLY and Common Table Expressions and how you can nest the table expressions. The session should be of benefit to both inexperienced and experienced SQL coders and analysts, each construct will be explained as well as the query plans produced. Demo's will be done on AdventureWorks which we actually discover is going out of business!
Look deep under the covers at what is involved when building a StreamInsight application.
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