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Preface.asciidoc

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@@ -144,14 +144,14 @@ ifndef::es_build[]
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of language, alphabets, and sorting. We cover stemming, stopwords, synonyms,
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and fuzzy matching.
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* Chapters pass:[<a href="#aggs-high-level">25</a>] through pass:[<a href="#controlling-memory">35</a>]
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* Chapters pass:[<a href="#aggs-high-level">25</a>] through pass:[<a href="#controlling-memory">34</a>]
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discuss aggregations and analytics--ways to summarize and group your data to show overall trends.
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* Chapters pass:[<a href="#geopoints">37</a>] through pass:[<a href="#geo-shapes">40</a>]
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* Chapters pass:[<a href="#geopoints">36</a>] through pass:[<a href="#geo-shapes">39</a>]
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present the two approaches to geolocation
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supported by Elasticsearch: lat/lon geo-points, and complex geo-shapes.
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* Chapters pass:[<a href="#relations">41</a>] through pass:[<a href="#scale">44</a>]
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* Chapters pass:[<a href="#relations">40</a>] through pass:[<a href="#scale">43</a>]
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talk about how to model your data to work
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most efficiently with Elasticsearch. Representing relationships
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between entities is not as easy in a search engine as it is in

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