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Data engineers are passionate about creating new pipelines, developing cutting-edge solutions, and solving tough data challenges. But let’s be honest, maintenance is another story. It’s the repetitive, time-consuming upkeep of systems that, often, no longer serve a purp...

It seems that everyone in the data industry is talking about Data Trust as essential for effectively developing AI and analytics products. We all understand that poor or inaccurate data leads to poor or inaccurate analytics and AI models. So, let's get to work monitorin...

As a data leader, I’ve seen firsthand how quickly cloud data costs can spiral out of control if left unchecked. I’ve worked with engineering teams that, despite building efficient solutions, ended up facing unforeseen cost spikes. I have also encountered engineering tea...

In today’s data-driven landscape, data engineers face increasingly complex environments. But as data ecosystems grow in complexity, so do the demands associated with managing and understanding data flows. The proliferation of data silos, stringent compliance requirem...

In today's intricate and interconnected business world, data has become a vital asset that fuels decision-making, innovation, and operational efficiency. This surge in data demand within companies has, however, led to rising costs. And as all data leaders know, with hig...

Organizations now rely heavily on the accuracy, timeliness, and quality of their data to make strategic decisions. However, as data pipelines grow in complexity and scale, ensuring data reliability becomes increasingly challenging. This is where data observability comes...

Data used to be seen as an expense, its connection to business results unclear. But in today's data-driven world, this view is shortsighted. Companies now need to measure the return on investment (ROI) of their data. But without looking at the data product level they ca...

The rise of cloud services has created new opportunities for scalability and flexibility, but along with this comes complex pricing models, especially when it comes to storing, processing, and transferring data. This means the cost of managing large datasets can quickly...