Big Data Storage and Data Virtualization

April 1, 2019

The big data concept has been adopted by all kinds of organizations. Data can be "big" because of its enormous volume, because it's not structured in the traditional way, or because it's streaming in with enormous quantities. The business advantages of big data systems are clear, they can improve, deepen, and strengthen an organization's analytical capabilities with relatively attractive infrastructure economics.Until now the data virtualization servers have focused on making big data processing easy. They can hide the complex and technical interfaces of big data storage technologies, such as Hadoop and NoSQL, and they can present big data as if it's stored in traditional SQL systems. This allows developers to use their existing skills and to deploy their traditional ETL, reporting, and analytical tools that all support SQL. Additionally, the products and existing skills can extend the data security mechanisms for accessing and processing big data across multiple big data systems. Butcwith scale and performance rising, making big data processing easy is not enough anymore. As such, the next challenge for data virtualization is parallel big data processing.

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Enterprise Data Orchestration

whitePaper | June 3, 2021

Data growth continues at an exponential rate even as cloud architectures make data management more complex and advanced applications necessitate more data movement. So what can be done to enable clean data capture and movement across an enterprise? Read this white paper to learn the requirements for data orchestration at scale and discover how you can build a holistic data architecture that enables successful DataOps.

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Spotlight

Grammarly

Make your communication clear and effective, wherever you write. Grammarly’s AI-powered products help people communicate more effectively. Millions of users rely on Grammarly every day to make their messages, documents, and social media posts clear, mistake-free, and impactful. Grammarly is an Inc. 500 company with offices in San Francisco, New York, and Kyiv. To learn more, visit Grammarly’s website (www.grammarly.com).

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