Charlie Mac and Associates

Year: 2022

  1. Newsletters

🎁 Wrapping Up 2022

Coming to the end of another year means reflecting on what has been achieved, and what could be improved or changed. Our newsletter has now been running for just over six months – that’s 26 newsletters in total! Our most popular topics this year included security, employee training and learning, and artificial intelligence (AI). Unsurprisingly, this has reflected […]
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  1. Newsletters

🔍 Identify Threats Early With Azure Monitor

When I was learning to fly, monitoring was a big deal. Looking out for traffic, making sure engine temperature and pressure remained in the green zone, adjusting angle of attack, tweaking airspeed, checking radio frequencies, watching the little ball on the yaw indicator. These constant checks ensured safe, smooth and efficient flight. The same goes for IT systems […]
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  1. Newsletters

Building Strong IT Relationships

Strong and enduring relationships are important but often get overlooked in IT. Strong relationships are built upon shared commitment and trust. Without these, awesome ideas die on the vine. I am sure you’ve seen this before. Forming long term relationships with IT providers can be difficult too, particularly in our world of probity and procurement […]
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  1. Newsletters

Simplifying Security With Microsoft

Following on from my email last week, I wanted to describe how you can build a complete Security Information and Event Management (SIEM) solution completely with Microsoft offerings. My philosophy is two-fold: 1) make the most of the Microsoft 365 licencing you already have and, 2) remove much of the third-party security infrastructure you have that […]
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  1. Newsletters

Hassle Free Data Migration 📂↗️☁️

Whilst working at a Water Corporation a while back, I had to migrate 250k records from Records Manager to Content Manager 9. The documents themselves were straightforward, but the transformations of the related metadata were extreme (including nested lists). I used Power Query for this and although good for understanding data quality, it was very manual […]
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