Introduction In part 1 of my post on data governance fundamentals, I introduced the “5 Ws and 1 H” of problem-solving—“What”, “Why”, “Who”, “When”, “Where”, and “How”— and applied the first three to data governance. In this blog, I want to talk about how you can apply …
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Introduction Among Talend’s blog posts are many outstanding ones on data governance, such as David Talaga’s “Life Might Be Like a Box of Chocolates, But Your Data Strategy Shouldn’t Be” which encourages us to know our data, and his two-part post on “6 Dos and Don’ts of …
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We are in the era of the information economy. Now, more than ever, companies have the capabilities to optimize their process through the use of data and analytics. While there are endless possibilities to data analysis, there are still challenges with maintaining, integrating, cleaning it to …
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When doing data matching with large sets of data, consideration should be given to the combinations that can be generated, and it’s associated effects on performance. This has an effect when using Talend’s Data Integration Matching and Data Quality components. Matching routines do not scale in a …
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“My momma always said, “Life was like a box of chocolates. You never know what you’re gonna get.” Even if everyone’s life remains full of surprises, the truth is that what applied to Forrest Gump in the 1994 movie by Robert Zemeckis, shouldn’t apply to your data strategy. As you’re making …
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In my last post, I gave you the first six Do’s and Don’ts of Data Governance and promised to bring together an additional six to consider when making a data governance plan for your organization. Here are six more dos and don’ts when building your data governance …
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This post was authored by Venkat Sundaram from Talend and Ramu Kalvakuntla from Clarity Insights. This is the second part in a series of blogs that discuss how to successfully build governed data lakes. To all those who have read the first part, thank you! If you haven’t read it, we …
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Set clear expectations from the start One big mistake I see organizations make when starting out on their data governance journey is forgetting the rationale behind data. So don’t just govern to govern. Whether you need to minimize risks or maximize your benefits, link your data governance …
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Remember how the Internet made it so easy and cheap to create content that everyone did it? Well, that’s where we are with the data economy today. The challenge with the web was not lack of fascinating content, but a way to find it. After two decades …
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Metadata Management has slowly become one of the most important practices for a successful digital initiative strategy. With the rise of distributed architectures such as Big Data and Cloud which can create siloed systems and data, metadata management is now vital for managing the information assets in …
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