Chapter 1. Big Data—Beyond the Buzz
Without big data, you are blind and deaf and in the middle of a freeway.
Geoffrey Moore
If we were playing workplace bingo, there is a big chance you would win by crossing off all these terms that you have heard in your organization in the past three months: digital transformation, data strategy, transformational insights, data lake, warehouse, data science, machine learning, and intelligence. It is now common knowledge that data is a key ingredient for organizations to succeed, and organizations that rely on data and AI clearly outperform their contenders. According to an IDC study sponsored by Seagate, the amount of data that is captured, collected, or replicated is expected to grow to 175 zettabytes (ZB) by the year 2025. This data that is captured, collected, or replicated is referred to as the Global DataSphere. This data comes from three classes of sources:
- The core
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Traditional or cloud-based datacenters
- The edge
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Hardened infrastructure, such as cell towers
- The endpoints
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PCs, tablets, smartphones, and Internet of Things (IoT) devices
This study also predicts that 49% of this Global DataSphere will be residing in public cloud environments by the year 2025.
If you have ever wondered, “Why does this data need to be stored? What is it good for?” the answer is very simple. Think of all of this data as pieces of words strewn around the globe in different languages, each sharing a sliver of information, like pieces of a puzzle. Stitching ...