erwin Expert Blog

Digital trust can make or break a brand. Amazon understood this concept early on. When the company first launched as an online bookseller in 1994, consumer confidence in online shopping was low, to say the least. Exclusively competing with local bookstores, Amazon and many e-tailers throughout the 90s and early 2000s had to work to...

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  In my previous post, I described how organizational success depends on certain building blocks that work in alignment with common business objectives. These building blocks include business activities, data and analytics. Governance is also one of the required building blocks because it provides cohesion in the standards to align people, processes, data and technology...

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Oct
5
2017

Technological revolutions of the past usually came with a bang. However, that’s not the case today as industry quietly transitions systems and processes to incorporate more advanced technology. Still, the outcomes tend to be dramatic with market disruptions and societal advances. With the rise of the IoT and data – or Big Data to be...

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Searching for new ways to generate value and improve execution, organizations of all shapes and sizes are racing to embrace data-driven approaches that are enabled by advances in analytics. A perfect storm of events that started in the mid-2000s has morphed into a disruptive force in the economy at an accelerating pace. Data-driven analytics has...

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The personal data of more than 143 million people – half the United States’ entire population – may have been compromised in the recent Equifax data breach. With every major data breach comes post-mortems and lessons learned, but one area we haven’t seen discussed is how enterprise architecture might aid in the prevention of data...

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It’s almost 2018, so there’s a good chance a portion of your business relies on the cloud. You’ve either moved some legacy systems there already, or you’re adopting entirely new, cloud-based systems – or both. But what about enterprise architecture for the cloud? After all, it’s the glue that helps tie all your disparate IT...

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There’s debate surrounding the term “logical data warehouse.” Some argue that it is a new concept, while others argue that all well-designed data warehouses are logical and so the term is meaningless. This is a key point I’ll address in this post. I’ll also discuss data warehousing that incorporates some of the technologies and approaches...

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A common question in the modern data management space involves database technology: SQL, NoSQL or NewSQL? But there isn’t a one-size-fits-all answer. What’s “right” must be evaluated on a case-by-case basis and is dependent on data maturity. For example, a large bookstore chain with a big-data initiative would be stifled by a SQL database. The...

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With the volume and velocity of data increasing, in-memory databases provide a way to keep processing speeds low. Traditionally, databases have stored their data on mechanical storage media such as hard disks. While this has contributed to durability, it’s also constrained attainable query speeds. Database and software designers have long realized this limitation and sought...

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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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