Chapter 9. Data Store Using Apache Hadoop
We acquired data, then we processed data, and now we will have to store this data. This chapter aims at covering this all important aspect of the Data Lake.
One of the core principles that we will follow in our Data Lake implementation is to store all the data as is in the lake as against storing only processed or sanitized data. This is key as data that is not significant today can become significant at a later stage and, during that time, we can make use of this stored raw data.
In this chapter, like other chapters in this part of the book, we will start off by introducing the layer and then go into technology mapping. After that, we will delve deeply into the chosen technology and then ensure that you are introduced to all the important aspects of this technology.
As the title of this chapter says, the chosen technology is Apache Hadoop, for storing non-indexed data in raw format for our Data Lake. We will, as with the other chapters, start with...
