15 Important data terms you should know
In today’s data-driven world, it’s essential to be familiar with key data terms to effectively navigate and make sense of the vast amounts of information available. Here are 15 important data terms to know:
Large and complicated data sets that are difficult to manage, process or analyze using conventional data processing techniques are referred to as “big data.“ Big data includes data with high volume, velocity and variety. Massive amounts of structured and unstructured data generally comes from various sources, including social media, sensors, gadgets and internet platforms.
Big data analytics involves methods and tools to collect, organize, manage and analyze these vast data sets to identify important trends, patterns and insights 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 boost efficiency, improve overall product quality and streamline the software delivery process. To automate and enhance the software development lifecycle, DevOps integrates 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 quicker, more reliable software releases. It also incorporates infrastructure automation, monitoring, and feedback loops to ensure rapid response and continual improvement.
Which provides more value?1. Backend2. Frontend3.
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