In this chapter, we delved deep into some of the common terminologies in the industry. We started the chapter by understanding data, enterprise data, and all important big data. We then dealt with the relevance of data, including various data quality attributes. After that, we went into the details of the different types of data classification and where the data lives in an enterprise.
In the sections that followed, we dealt with digital transformation and finished the chapter with the use case that we will be implementing throughout this book in more detail.
After completing this chapter, you will have clearly grasped many terminologies and will also have a good understanding of the significance of data and Data lake to an enterprise. Along with that, you will have a very good idea about the use case and its relevance.
In the next chapter, we will delve deep into Data lake and also the pattern that we will use in implementing Data lake in more detail.
