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4 Metadata Management Challenges And How To Solve Them Modern data architectures support an increasing number and variety of business use cases. Product creation, tailored customer experiences, fraud detection, regulatory compliance, and data monetization are some examples. To enable such use cases, a data-driven business needs modern solutions for accessing, managing, and processing data. One …
Guide to Enterprise Data Architecture Part 3 If you look at where companies keep their analytical data, you’ll quickly see that this space has split into two major architectural and technology stacks: data warehouses and data lakes. What are their defining characteristics? What factors should you take into account when choosing a data warehouse vs. …
As the Covid-19 pandemic loosens its grip on the world, we’re all eager to start travelling and meeting in person again. The great news is that in persone conferences are back, so it’s time to make up for lost time! Attending conferences is a great way to learn, network, and engage with like-minded people. Not …
Top Data Engineering Conferences & Events You Don’t Want to Miss in the Fall of 2022! Read More »
Modern data engineering practices lead more and more organizations to a broader use of object stores. This happens due to the rising scale and complexity of the data that they manage – along with the growing variety of use cases that these data warehouses need to cater: from machine learning and algorithm development, to analytics …
5 Painful mistakes data engineers make, and how to avoid them Read More »
What is a Data Lake? A data lake is a system of technologies that allow for the querying of data in file or blob objects. When employed effectively, they enable the analysis of structured and unstructured data assets at tremendous scale and cost-efficiency. The number of organizations employing data lake architectures has increased exponentially since …
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