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This unit covers the fundamentals of big data and analytics. The following unit will focus on the theory and implementation of big data and the process of going from data to decisions. Learners shall gain knowledge of big data framework, platforms for data processing, and tools for data analytics to reshape, envision, design, and convey the valuable information hidden in data, providing end-users with timely information to aid them in making decisions. This unit shall also explain on how Big data management is a challenge for businesses.
The unit includes a difficult task that demands learners to work with their local IT community through participation and attendance at programs such as seminars, workshops, expos, and discussion boards. The goal is to offer learners a comprehensive knowledge of the IT industry. Because the technical rigor needed for this unit can be demanding, students frequently use ITECH1103 academic assistance services when working on their unit assessments. The good news is that our qualified professionals will be there to provide you with the best assistance. If you're looking for ITECH1103 assessment answers, this is the place. Our subject matter experts are skilled at managing diploma assignment requirements.
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Big Data is a resource, and Hadoop is an open-source software program that achieves targets to manage that resource. Hadoop is used to process, store, and analyze large amounts of unstructured data using proprietary algorithms and techniques to generate actionable insights. So, while they are related, they are not the same.
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