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Merge pull request #46 from implydata/autobuild
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Autobuild
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vogievetsky committed Nov 6, 2019
2 parents a6246ea + 695fa0a commit 27d5345
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21 changes: 19 additions & 2 deletions index.html
Expand Up @@ -167,9 +167,9 @@ <h5>Unlock new workflows</h5>
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<h5>Deploy anywhere</h5>
<h5>Deploy in AWS/GCP/Azure, hybrid clouds, Kubernetes, and bare metal</h5>
<p>
Druid can be deployed in any *NIX environment on commodity hardware, both in the cloud and on premise. Druid is cloud-native: scaling up and down is as simple as adding and removing processes.
Druid can be deployed in any *NIX environment on commodity hardware, both in the cloud and on premise. Deploying Druid is easy: scaling up and down is as simple as adding and removing processes.
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<div class="event">
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Nov
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18
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<p>
<a href="https://www.meetup.com/DFW-Data-Engineering-Meetup/events/266235119/">
<span class ="title">DFW Data Engineering Meetup</span><br>
<span class="text-muted">5445 Legacy Dr Suite 100, Plano, TX</span>
</a>
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2 changes: 1 addition & 1 deletion technology.html
Expand Up @@ -247,7 +247,7 @@ <h2 id="querying">Querying</h2>

<h2 id="architecture">Architecture</h2>

<p>Druid can be thought of as a disassembled database.
<p>Druid has a microservice-based architecture can be thought of as a disassembled database.
Each core process in Druid (ingestion, querying, and coordination) can be separately or jointly deployed on commodity hardware.</p>

<p>Druid explicitly names every main process to allow the operator to fine tune each process based on the use case and workload.
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