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commit 9a739bb64ba42f51621379538530f305fda7772d
Author: fjy <fangjiny...@gmail.com>
AuthorDate: Thu Nov 7 14:26:03 2019 -0800
some wording updates
---
_data/featured.yml | 6 ++++++
index.html | 2 +-
technology.md | 16 ++++++++--------
3 files changed, 15 insertions(+), 9 deletions(-)
diff --git a/_data/featured.yml b/_data/featured.yml
index 21a59b1..fd3dd8f 100644
--- a/_data/featured.yml
+++ b/_data/featured.yml
@@ -1,3 +1,9 @@
+ - date: 2019-10-16
+ title: "Druid query view: An elegant SQL interface for a more civilized
age"
+ name: "Margaret Brewster"
+ link: https://imply.io/post/druid-console-query-view
+ company: Imply
+
- date: 2019-09-15
title: "Data Retention and Deletion in Apache Druid"
name: "Dana Assa and Itai Yaffe"
diff --git a/index.html b/index.html
index 259dd07..232286d 100644
--- a/index.html
+++ b/index.html
@@ -60,7 +60,7 @@ canonical: 'https://druid.apache.org/'
<span class="fa fa-globe fa"></span>
<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. Deploying Druid is easy: 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 Druid services.
</p>
</div>
</div>
diff --git a/technology.md b/technology.md
index f7e64da..984b604 100644
--- a/technology.md
+++ b/technology.md
@@ -129,12 +129,12 @@ For more information, please visit [our docs
page](/docs/latest/querying/queryin
## Architecture
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.
+Each core service in Druid (ingestion, querying, and coordination) can be
separately or jointly deployed on commodity hardware.
-Druid explicitly names every main process to allow the operator to fine tune
each process based on the use case and workload.
-For example, an operator can dedicate more resources to Druid’s ingestion
process while giving less resources to Druid’s query process if the workload
requires it.
+Druid explicitly names every main service to allow the operator to fine tune
each service based on the use case and workload.
+For example, an operator can dedicate more resources to Druid’s ingestion
service while giving less resources to Druid’s query service if the workload
requires it.
-Druid processes can independently fail without impacting the operations of
other processes.
+Druid services can independently fail without impacting the operations of
other services.
<div class="image-large">
<img src="img/diagram-7.png" style="max-width: 620px;">
@@ -157,11 +157,11 @@ As such, Druid possesses several features to ensure
uptime and no data loss.
</div>
<div class="feature">
<span class="fa fa-th-large fa"></span>
- <h5>Independent processes</h5>
+ <h5>Independent services</h5>
<p>
- Druid explicitly names all of its main processes and each process can be
fine tuned based on use case.
- Processes can independently fail without impacting other processes.
- For example, if the ingestion process fails, no new data is loaded in
the system, but existing data remains queryable.
+ Druid explicitly names all of its main services and each service can be
fine tuned based on use case.
+ Services can independently fail without impacting other services.
+ For example, if the ingestion services fails, no new data is loaded in
the system, but existing data remains queryable.
</p>
</div>
<div class="feature">
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