15 important data terms you need to know

Big data, data analytics, data governance, data visualization, data integration and more. Check out these key data terms for a deeper understanding.

In today's data-driven world, becoming familiar with key data terms is critical to effectively navigating and making sense of the vast amounts of information available. Here are 15 important data terms to know:

Large and complex sets of data that are difficult to manage, process, or analyze using conventional data processing techniques are called “big data”. Big data includes data of high volume, speed and variety. Massive amounts of structured and unstructured data typically come from a variety of sources, including social media, sensors, gadgets, and internet platforms.

Big data analytics involves methods and tools to collect, organize, manage, and analyze these vast sets of data to identify trends, patterns, and important information that can guide business decisions, innovation and tactics.

DevOps, short for development and operations, is a collaborative approach to software development and deployment that emphasizes communication, collaboration, and integration between development and operations teams.

It attempts to increase efficiency, improve overall product quality, and streamline the software delivery process. To automate and improve the software development lifecycle, DevOps incorporates methods, tools, and cultural beliefs. It encourages close communication between programmers, system administrators, and other parties involved in creating and deploying new software.

Continuous integration, delivery, and deployment are key concepts in DevOps, where code changes are constantly merged and tested to produce faster, more reliable software releases. It also incorporates infrastructure automation, monitoring, and feedback loops to ensure rapid response and continuous improvement.

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