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Elasticsearch Query Language the Definitive Guide
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Let’s imagine for a moment that you are a data analyst at the Swiss Transport Office. You’ve just been handed a daily dataset containing thousands of records for train departures and arrivals, and your task is to provide insights about train operations across the country. The data contains rich information about each train's schedule, delays, operators, and specific stops. Now, the first step is to dive in and start exploring what the data reveals. With ES|QL, we can quickly answer business questions that inform decision-making for smoother and more efficient transport operations.
To begin, let's get a sense of the overall scope of the dataset. The first questions you might ask are "How many unique trips are recorded in this dataset?" and “From when to when do these trips take place?”. Answering these helps us establish the scale of the operations we’re dealing with.
FROM swiss_trains...
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