The world of data is rapidly evolving, and the demand for skilled data professionals has continued to rise. But who are these data professionals? Those of us in the field have been asked many times about the nature of what we do. Students and prospective career changers, hiring managers, business partners, and prospective clients all…
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I recently had a discussion with a client that turned to the question of SQL Server code compatibility with Azure SQL Database. We were designing a new pipeline for their on-premises SQL environment, and they mentioned their abandoned cloud migration effort from a few years earlier. The business ended up pausing this effort because of…
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With the explosion of AI and ever-increasing awareness of the importance of data, the term “data governance” seems to be everywhere these days. We hear it used in different contexts, and it may seem to equate to regulatory compliance or to have relevance for only the largest companies. This interpretation misses a key benefit of…
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In my last post, I broke down the parts of the anatomy of the SQL Server transaction log. In this post, I will share a few tips for keeping your transaction logs well-maintained and your SQL Server databases happy and healthy. Here are 7 important tips for managing your transaction logs: Now, let’s break these…
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Recently, we discussed the role of the recovery model in establishing how SQL Server manages database transaction logs. But what is the SQL Server log composed of? How does the logging process work? In this post, we will dissect the SQL Server transaction log to uncover its core anatomy. First, what is the transaction log?…
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When we meet with clients for an initial SQL Server Health Check, we’re sometimes asked what a SQL Server recovery model is. Once explained, the natural follow up question often is: well, then which recovery model should we use? In this post, we will address both of these important questions. What is a SQL Server…
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Welcome to the third and final post in our series on Data Lifecycle Management (DLM), where we will talk about archiving and purging company data. In the last post, we talked about applying the Kaizen approach to data management to achieve a culture of continuous improvement on our data teams. In this post, we will…
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“Take time to improve our data management processes? Sorry, we are just too busy”… fixing errors from broken data processes. This refrain is more common than you think in IT departments of all sizes. Or maybe you live that reality every day and are fully aware that clunky, error-laden processes eat away at your team’s…
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Are your company’s data collection processes sound? Do they align with best practices? Welcome to the first of three posts on how to refine your strategy for data lifecycle management. In this post, we will look at how to evaluate your data collection processes for improvements. Data Collection in Data LifeCycle Management (DLM) As has…
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Are Data Lifecycle Management (DLM) and Information Lifecycle Management (ILM) just fancy terms for the exact same thing – namely, data management? Will understanding these terms actually impact your data strategy in any meaningful way? Will knowing this distinction affect your business at all? Recently, we began a series of posts on data strategy by…
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