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Every day, consumers, businesses and not for profit organisations generate increasing volumes of data. Initiatives such as Smart Meters in the utilities sector, along with user generated 'Web 2.0' data sources and High Energy Physics are causing an exponential growth in available data. Many business seek to take advantage of this data to analyse business performance or understand trends in customer or prospect behaviour.
This analytical data often requires looking at very high volume, complex data sources. To bring this together in a format that is easy for analysts to understand and query is often very challenging - particularly for businesses when business requirements for this data change and a rapid response can mean the difference between profit and loss.
This is just one of many areas that Data Integration tools and technologies are being applied - providing the 'plumbing' from a source system to a target system. DI tools are designed to offer an order of magnitude increase in developer productivity compared to using languages such as SQL, Java and .NET. This productivity allows developers to deliver more quickly, respond to changes faster or deliver more with fewer resources.
According to Gartner, the market for such tools is estimated to grow to $2..7 billion by 2013, and is currently dominated by a handful of enterprise class vendors. However, a new crop of Data Integration tools is emerging, with a mix of open source and commercial offerings each that seek to challenge the dominance of the established players.
This talk will discuss the history of this area of technology to help understand the conditions we see today, offer a view of the future of the market and describe how these tools can help drive value within today's business and academic communities. At the end of the talk, attendees will have an opportunity to use one of the commercial tools and make their own minds up about the value of such technology.
Phil Watt is Principal Consultant at one of the world’s largest Systems Integrators, and has been working with high volume enterprise data for more than 17 years, building and designing data warehouses for customers in telco, media, utilities and financial services sectors. During the last 10 years, Phil has worked with a number of Data Integration technologies and advised many businesses about choosing a DI tool and applying best practices in their deployment.