Allan Mitchell

Allan is the CIO of Elastabytes, a Microsoft Gold Partner. Elastabytes' focus is on migrating applications and data from on-premises into Azure. We also provide a managed service to our customers giving them peace of mind about their cloud investment.

Sessions

Advanced SSIS

Loading Partitions directly Consuming a package in SSRS Using a DM algorithm in the pipeline to see if the new customer meets criteria Fuzzy Grouping for deduplicating

Katmai v SQL 2005

What has changed for the better and worse.

Making more of SSIS in 2008

Getting more value from your data through data mining

Data Mining and SSIS - makes sense

Using a predictive technology inside something that moves your data around really makes sense sometimes although not a lot of people are taking advantage of it. Let me show you how to use the two together

Excel - An Excellent Data Mining Tool

Using Excel as a Data Mining client is a very good move. Very visual and very easy to use.

SSIS in SQL Server 2008

A look at some of the things that make using SSIS in SQL Server 2008 a very good choice for your ETL requirements

Common Integration Services Problems

Common Integration Services Problems and Solutions

StreamInsight Deep Dive

Look deep under the covers at what is involved when building a StreamInsight application.

StreamInsight-Solving Business problems (Deep Dive)

Event Stream Processing opens up a mass of opportunities for reacting to patterns in your data in realtime. This session shows you how.

Data Quality Services-Making Data Suitable for Business

Data Quality Services is a new product coming in the SQL Server Denali release of Microsoft SQL Server. Come to this session to understand how it can take your data cleansing to the next level.

Incremental Loading of Data using CDC in SQL Server 2012

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.

A Look at 3 Big Data Tools

This session will look at SQOOP, PIG and HIVE. Three tools which are essential in your Big Data Toolbox. We'll look at what they do, how they do it and why you would want to use them

Getting Started with Azure DocumentDB

Come to this session if you want to find out about Microsoft's Document storage option in the cloud. You will leave understanding what it is, why it exists and how to get started.

Getting Started with Azure Search

Need to search your data efficiently whilst in the cloud? This session introduces you to MSFT's highly scalable search solution in Azure

Building scalable analytical solutions on Azure

Come to this session to see how to build a scalable analytical solution on Microsoft Azure with Elastic Search and Kibana.

Dumping data into Azure Data Lake with Data Factory

An introduction with worked examples of the new Data Lake storage platform in Azure.

The Modern Intelligent Application

This session will examine how to successfully design a modern data architecture on the Microsoft Azure cloud platform. Focusing on design tenants for efficient, scalable and resilient data processing

Sessions

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