elastIO focusses on search and data integration.
Text data is increasing at an incredible rate. Being able to derive meaning and intelligence from free text is hard but necessary if businesses are to get any ROI from things such as weblogs. Search can offer your users a much better experience over your websites enabling them to find the things they need quicker.
We have extensive experience in elasticSearch, SolR and Azure Search.
Data will always need to flow from one place to another. This could be the overnight batch job which takes data from an OLTP system and puts it into a Data Warehouse having first done some cleansing and conforming or it could be the sensors on your machinery in the warehouse which are constantly emitting data and you need to reason over those events and perhaps take action.
We are experts in SSIS, Azure Streaming Analytics, Storm, Azure Machine Learning and Azure Data Factory
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
What has changed for the better and worse.
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
Using Excel as a Data Mining client is a very good move. Very visual and very easy to use.
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 and Solutions
Look deep under the covers at what is involved when building a StreamInsight application.
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 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.
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.
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
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.
Need to search your data efficiently whilst in the cloud? This session introduces you to MSFT's highly scalable search solution in Azure
Come to this session to see how to build a scalable analytical solution on Microsoft Azure with Elastic Search and Kibana.
An introduction with worked examples of the new Data Lake storage platform in Azure.
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