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What Is a Document Database?

Document databases refers to a category of  NoSQL that represents data in a tree structure, where paths or branches connect data values or leaves. Frequently, document stores use XML and JSON formats stores. There are few practical limits to the number of paths, fields, values, or types of data that can be added to specific […]

Domo Demo: Who Is Afraid of the Big Bad Data Wolf?

Download the slides: https://content.dataversity.net/rs/656-WMW-918/images/Domo_BIG_BAD_DATA_WOLF_BENSCHEIN.pdf Just like the classic children’s fable of “The Three Little Pigs,” data professionals can feel like they are constantly building data houses in the form of new infrastructure and technology.  However, when the full force of data blows in, these houses reveal themselves to be made of straw or sticks (like […]

DataEd Slides: Data Management Best Practices

DataEd Slides: Data Management Best Practices from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> About the Webinar It is clear that Data Management best practices exist, and so does a useful process for improving existing Data Management practices. The question arises: Since we understand the goal, how does one […]

2020 DATAVERSITY Top 20

With 2020 now behind us, we here at DATAVERSITY are taking a moment to look back on the hits and misses of this unprecedented year. What content did you, our readers, seek out most during challenging times? Which topics helped you succeed as a data professional, and what should we focus more on in 2021 […]

Hackolade Demo: Increase API Quality and Consistency with Model-Driven API Generation

According to Gartner, APIs are the basis for every digital strategy. With application architectures becoming increasingly distributed and modular, and with the proliferation of microservices, it is critical to ensure the quality and consistency of APIs. In this session, you’ll see how NoSQL schema designs based on access patterns can be converted into full API […]

Deep Learning Updates: Machine Learning, Deep Reinforcement Learning, and Limitations

In recent years, some astonishing technological breakthroughs in the field artificial intelligence (AI) and its sub-field deep learning have begun to train machines to behave like humans. As machines are increasingly emulating complex cognitive functions such as deductive reasoning, inferences, and informed decision-making, robots functioning as humans are a reality in many industry practices today. […]

Data Architecture and Artificial Intelligence: How Do They Work Together?

Artificial intelligence (AI) is rapidly gaining ground as core business competency. Today’s machine learning (ML) or deep learning (DL) algorithms promise to revolutionize business models and processes, restructure workforces, and transform data infrastructures to enhance process efficiency and improve decision-making throughout the enterprise. Gone are the days of data silos and manual algorithms. However, widespread […]

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