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    Southern Water: Why We're Working With Google to Shake Up The Way We Use Data

    on Oct 1, 2018

     

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    Topics: Data Lineage, Partners

    Solidatus Shortlisted in Three Categories for DMR Awards 2018

    on Sep 10, 2018

    We're proud to announce that Solidatus has yet again been shortlisted for three awards in the Data Management Review Awards 2018 alongside some of the largest and best known companies in the field:

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    Topics: Data Lineage, Data Governance, Data Quality, Awards

    The Value of Metadata

    on Jul 13, 2018

    What is Metadata?

    Put simply, it’s data about data. The who, what, when, where and how that outlines the properties and tags to categorise the information on a piece of data, defining its purpose. 

    Take, for example, a digital image. The file may tell you the size of the image, the date & time it was taken, what type of camera was used, and where the photo was taken. This is metadata, it gives you more insight into the data asset.

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    Topics: Metadata Management

    The key to supporting production

    on Jun 20, 2018

    The importance of keeping an organisation’s systems running 24x7 cannot be underestimated, just ask any current TSB customer their thoughts on the matter and I’m sure you will get a emphatic response.  In this digital age customers now demand an uninterrupted service. Therefore, regardless of whether your organisation is fully automated and practices DevOps or you have a Production Support team who are tasked with resolving issues that arise in its workflow, automation tools are highly critical.

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    Getting it Right the First Time - Prepare, not Fail!

    on Jun 7, 2018

    Solidatus has four thematic areas where we believe it is critical to understand the flow of data. One of these is transformation and it is this area that has become a source of some debate recently. There is a lot of fashion about transformation currently with a large part of the debate driving the conversation around DevOps. Now, I like DevOps in principle, it is attractive to any software engineer who wants to get value out for a customer quickly with little risk. 

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    Topics: Data Lineage, Data Management