Summary

In this chapter, we learned about some terms that need to be understood about big data, such as what the terms streaming data, data latency, and data sparseness mean. We also covered the types of data that can be brought into Splunk. Then we studied what an index is, made an index for our data, and put in data from our Destinations app. We talked about what fields and events are. And finally, we saw how to extract fields from events and name them so that they can be more useful to us. In the chapters to come, we'll learn more about these important features of Splunk.

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