Document-oriented databases are one of the fastest growing categories of NoSQL databases, and the primary reason is the flexibility of schema or logic design. Document databases make it easier for developers to store and query data in a database by using the same document-model format they use in their application code. The flexible, semi-structured, and hierarchical nature of documents and document databases allows them to evolve with applications' needs.
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The Call for Speakers is now open for Data Summit 2022 which will be held at the Hyatt Regency Boston May 17-18, 2022, with pre-conference workshops on May 16, 2022. The Data Summit conference focuses on the business and technical aspects of Big Data, Data Management, DevOps, Data Management, AI, Machine Learning, and the ramifications of working in a data-driven environment.
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One of the challenges of working with Hadoop environments has been maintaining the infrastructure for big data projects. That's where cloud makes things easier and, increasingly, has served as the underlying infrastructure platform of choice for Hadoop initiatives. At the same time, not everything has moved to the cloud just yet for big data environments. Many IT managers expect to live in a hybrid environment. They are planning for multi-cloud data management to deliver business value and are also still relying on old-school approaches and manual tools to support their data environments.
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To meet the needs of the digital economy of the 2020s, data architecture has evolved into a different animal than it was 10, or even 5, years ago. Most notably, there are three trends that have changed the way enterprises look at and design their data architectures.
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