Open source refers to software, tools and applications that allow free and open access to manipulate the source code used to write the program. Examples of open source include Linux, Apache, MySQL and Firebird.

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interview10 Minutes with Alyssa Wright, vice president and director of solutions at OpenGeo, on the unique intersection of open source and geospatial analytics, and where she sees the field heading
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Information Management's DM RadioMake no mistake: Hadoop changed information management. No, it won't replace the enterprise data warehouse, but Hadoop is here to stay, at least until the next big idea changes everything. One reason for its all-but-assured success: the commitment of open source proponents. But how exactly should Hadoop be used? Register for this episode of DM Radio to find out! Hosts Eric Kavanagh and Justin Kern will interview Krish Krishnan of Sixth Sense Advisors, Jim Walker of Hortonworks, Jim Vogt of Zettaset and John Santaferraro of Actian. This episode of DMRadio is sponsored by Talend and TDWI
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With the Information Superhighway now stretching to practically everywhere, anyone in charge of corporate data has something in common – the need for an effective means of governance. While the challenges vary from one industry and company to the next, the underlying reality is universal: businesses that hope to remain agile must find a way to secure a strategic view of enterprise data. There will never be a silver bullet for marshalling the increasing volumes of data, but at least there is one irrefutable truth: a unified data management platform can solve most of the problems that information managers encounter. In fact, by creating a centralized repository for data definitions, lineage, transformations and movements, companies can avoid many troubles before they occur.

The benefits of a unified data management platform are many. They include:

* Improved data quality

* Better reporting and analysis

* Facilitated compliance

* Streamlined business processes

* Increased enterprise agility
14:57Companies selling traditional data integration tools impose a ‘data tax’ on their customers. But what exactly is this data tax? It’s all the unpredictable, hidden costs you’ll incur over the lifetime of your software. Because unlike Talend, proprietary data integration vendors base their business models and pricing on data volume. As your data increase, so will your costs.
16:50Data governance is an outstanding business strategy that leads your company toward greater efficiency, lower risk and increased revenue. Proper management of data underpins the success many strategic initiatives. However, it is not always easy for others to see its value. This white paper discusses the techniques that have been successful for data champions as they "sell" the importance of data governance to their company. It examines guidelines for optimal project selection, tracking the value of data governance and techniques for overcoming objections to a data governance program.
14:53Organizations have long sought to leverage the knowledge embedded within their existing data assets. However, this desire often clashes with a corporate data environment that is siloed and inconsistent. Many organizations may have already invested in solving data integration, data quality and master data management solutions; however, there is interdependence between these technologies that truly maximizes data utility across the enterprise.
14:55Open source data integration tools can provide the cost advantages of hand?coding with the productivity advantages of traditional data integration software. They are established in the developer tools market which has been the traditional stronghold of open source software. Expect open source to be a key component of data integration (and especially of operational data integration) in the near future, similar to the way it is a key component of application development environments today.

Are you actively evaluating master data management technologies and their ability to scale and support emerging trends around big data, social and mobile?

Yes 61%
No 23%
Don't Know 9%
Not Applicable 6%


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