erwin Expert Blog

There’s no escaping data’s role in the cloud, and so it’s crucial that we analyze the cloud’s impact on data modeling. 

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With GDPR regulations imminent, businesses need to ensure they have a handle on data governance.

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As the amount of data enterprises are tasked with managing increases, making NoSQL technology adoption a priority is a must.

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More and more businesses are adopting managed data lakes. Earlier in this blog series, we established that leading organizations are adopting a variety of approaches to manage data, including data that may be sourced from a wide range of NoSQL, NewSQL, RDBMS and unstructured sources. In this post, we’ll discuss managed data lakes and their...

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NoSQL database technology is gaining a lot of traction across industry. So what is it, and why is it increasing in use? Techopedia defines NoSQL as “a class of database management systems (DBMS) that do not follow all of the rules of a relational DBMS and cannot use traditional SQL to query data.” The rise...

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In the first two posts of this series, we focused on the “volume” and “velocity” of Big Data, respectively.  In this post, we’ll cover “variety,” the third of Big Data’s “three Vs.” In particular, I plan to discuss NoSQL and NewSQL databases and their implications for data modeling. As the volume and velocity of data...

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The multi-tenancy vs. single-tenancy hosting debate has raged for years. Businesses’ differing demands have led to a stalemate, with certain industries more likely to lean one way than the other. But with advancements in cloud computing and storage infrastructure, the stalemate could be at the beginning of its end. To understand why multi-tenancy hosting is...

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In the first post of this blog series, we focused on jargon related to the “volume” aspect of Big Data and its impact on data modeling and data-driven organizations. In this post, we’ll focus on “velocity,” the second of Big Data’s “three Vs.” In particular, we’re going to explore the Internet of Things (IoT), the...

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“NoSQL is not an option — it has become a necessity to support next-generation applications.”

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By now, you’ve likely heard a lot about Big Data. You may have even heard about “the three Vs” of Big Data. Originally defined by Gartner, “Big Data is “high-volume, high-velocity, and/or high-variety information assets that require new forms of processing to enable enhanced decision-making, insight discovery and process optimization.”

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