We all know that data is important and that becoming a data-driven enterprise is critical to future enterprise success. But recent events threw into sharp relief just how critical data is to business. Google announced its intention to buy Looker for $2.6 billion dollars. Several days later, Salesforce announced that it would be...

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. This part covers how you can apply the last three pieces and suggest some next steps. Let's get started! The "When" of Data Governance In 2001...

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 “...

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 ensure that it will empower the people to ta...

…and how to fix them! We’ve asked our team of Talend experts to compile this top ten list of their biggest bugbears when it comes to jobs they see in the wild – and here it is! 10. Size does matter Kicking off our list is a common problem – the size of individual Talend jobs. Whilst it is often convenient to contain all similar logic and data in a single job, you can soon run into problems when building or deploying a huge job, not to mention trying to debu...

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 linear fashion.   For those that have...

"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 the very first steps into your data strategy, you need to first know what’s inside your data. And this part is critical.  To do ...

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 framework. Do: Consider the cloud on your route to trust...

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...

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 projects to clear and measurable outcomes. As data governance is a non-departmental init...