Summary
In this chapter, we reviewed how data is becoming ever more important for organizations looking to gain new insights and competitive advantage, and introduced some core big data processing technologies and approaches. We also looked at the key roles related to managing, processing, and analyzing large datasets, and highlighted how cloud technologies enable organizations to better deal with the increasing volume and variety of data.
In our first hands-on exercise, we provided step-by-step instructions for creating a new AWS account, which can be used through the remainder of this book as we develop our own data engineering pipeline.
In the next chapter, we dig deeper into current approaches, tools, and frameworks that are commonly used to manage and analyze large datasets, including data warehouses, data marts, data lakes, and data mesh. We also get hands-on with AWS again, but this time we will use the AWS Command Line Interface (CLI) to create new Amazon S3 buckets.
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