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Posted to notifications@ignite.apache.org by dm...@apache.org on 2020/12/29 20:44:41 UTC
[ignite-website] branch ignite-13779 updated: applying text edits
after passing an editorial review
This is an automated email from the ASF dual-hosted git repository.
dmagda pushed a commit to branch ignite-13779
in repository https://gitbox.apache.org/repos/asf/ignite-website.git
The following commit(s) were added to refs/heads/ignite-13779 by this push:
new eede6fa applying text edits after passing an editorial review
eede6fa is described below
commit eede6fa863b570352d2285b5d56cf67d27ef24a8
Author: Denis Magda <dm...@gridgain.com>
AuthorDate: Tue Dec 29 12:44:25 2020 -0800
applying text edits after passing an editorial review
---
index.html | 72 +++++++++++++++++++++++++++++---------------------------------
1 file changed, 34 insertions(+), 38 deletions(-)
diff --git a/index.html b/index.html
index 8a8186c..91233f7 100644
--- a/index.html
+++ b/index.html
@@ -46,7 +46,7 @@ under the License.
<meta http-equiv="Expires" content="0"/>
<title>Distributed Database - Apache Ignite®</title>
<meta name="description"
- content="Apache Ignite® is a distributed database for in-memory speed at petabyte scale.">
+ content="Apache Ignite® is a distributed database for in-memory speed and high-performance computing.">
<!--#include virtual="/includes/styles.html" -->
</head>
@@ -105,7 +105,8 @@ under the License.
<div class="container">
<div id="particle-js"></div>
<div class="txt-wrapper">
- <h1><strong>APACHE IGNITE</strong> Distributed Database For <span class="nobr">In-Memory</span> Speed And <span class="nobr">High-Performance</span> Computing</h1>
+ <h1><strong>APACHE IGNITE</strong> Distributed Database For <span class="nobr">In-Memory</span> Speed
+ And <span class="nobr">High-Performance</span> Computing</h1>
<div class="buttons">
<a href="/docs/latest/index"
@@ -314,9 +315,9 @@ under the License.
<div class="card-body">
<p class="text-muted">
- Use Ignite as a traditional SQL database using JDBC, ODBC drivers, or
- native SQL APIs available for Java, C#, C++, Python,
- and other programming languages. Seamlessly join, group, aggregate, and order your
+ Use Ignite as a traditional SQL database by leveraging JDBC drivers, ODBC drivers,
+ or the native SQL APIs that are available for Java, C#, C++, Python, and other
+ programming languages. Seamlessly join, group, aggregate, and order your
distributed in-memory and on-disk data:
</p>
@@ -347,7 +348,7 @@ under the License.
<a href="/docs/latest/SQL/sql-introduction"
onclick="gtag('event', 'homepage_click', {'event_category':'apache_ignite_features', 'event_label': 'sql'});"
title="Apache Ignite Distributed SQL" aria-label="Distributed SQL"
- class="btn btn-secondary">Learn More</a>
+ class="btn btn-secondary">Start Using SQL</a>
</div>
</div>
</div>
@@ -370,9 +371,8 @@ under the License.
<p class="text-muted">
Ignite scales up and out across memory and disk. By default, Ignite operates
in a pure in-memory mode. But, by toggling a single configuration setting,
- you can turn the cluster into a database that can grow beyond available
- memory
- capacity:
+ you can turn a cluster into a database that can grow beyond
+ the cluster's memory capacity:
</p>
<div class="code-tabs">
@@ -445,7 +445,7 @@ under the License.
onclick="gtag('event', 'homepage_click', {'event_category':'apache_ignite_features', 'event_label': 'multi_tier_storage'});"
title="Apache Ignite Multi-Tier Storage"
aria-label="Apache Ignite Multi-Tier Storage"
- class="btn btn-secondary">Learn More</a>
+ class="btn btn-secondary">Learn More About Storage Engine</a>
</div>
</div>
</div>
@@ -470,10 +470,10 @@ under the License.
role="tabpanel" aria-labelledby="feat-vtab-ch-colocated">
<div class="card-body">
<p class="text-muted">
- With traditional databases, you use stored procedures written in languages
- such as PL/SQL for in-place calculations. With Ignite, you use modern JVM
- languages, C# or C++ to develop custom tasks and get them executed
- across the distributed database:
+ With traditional databases, for in-place calculations, you use stored procedures
+ that are written in a language such as PL/SQL. With Ignite, you use modern
+ JVM languages, C# or C++ to develop and execute custom tasks across your
+ distributed database:
</p>
<div class="code-tabs">
@@ -520,7 +520,7 @@ under the License.
onclick="gtag('event', 'homepage_click', {'event_category':'apache_ignite_features', 'event_label': 'co_located_processsing'});"
title="Apache Ignite Co-located Processing"
aria-label="Apache Ignite Co-located Processing"
- class="btn btn-secondary">Learn More</a>
+ class="btn btn-secondary">Start Using Compute APIs</a>
</div>
</div>
</div>
@@ -542,9 +542,9 @@ under the License.
role="tabpanel" aria-labelledby="feat-vtab-ch-acid">
<div class="card-body">
<p class="text-muted">
- Ignite can operate in a strongly consistent mode with full support for
- distributed ACID transactions. Transact across multiple cluster nodes,
- caches/tables, and partitions:
+ Ignite can operate in a strongly consistent mode that provides full support
+ for distributed ACID transactions. Transact across multiple cluster nodes,
+ caches, tables, and partitions:
</p>
<div class="code-tabs">
@@ -606,7 +606,7 @@ under the License.
onclick="gtag('event', 'homepage_click', {'event_category':'apache_ignite_features', 'event_label': 'transactions'});"
title="Apache Ignite ACID Transactions"
aria-label="Apache Ignite ACID Transactions"
- class="btn btn-secondary">Learn More</a>
+ class="btn btn-secondary">Learn More About Transactions</a>
</div>
</div>
</div>
@@ -629,11 +629,10 @@ under the License.
<div class="card-body">
<p class="text-muted">
- Ignite Machine Learning is a set of built-in algorithms and tools as well
- as the TensorFlow integration that allow building scalable machine learning
- models avoiding costly data transfers between Ignite and an external system.
- Train, deploy, evaluate and update your ML/DL models continuously
- and at scale:
+ Ignite machine learning uses built-in algorithms and tools, as well as
+ TensorFlow integration, to enable the building of scalable machine learning
+ models and avoid costly data transfers. Train, deploy, evaluate, and update
+ your ML and DL models continuously and at scale:
</p>
<div class="code-tabs">
@@ -671,7 +670,7 @@ under the License.
'event_label': 'machine_learning'});"
title="Apache Ignite Machine Learning"
aria-label="Apache Ignite Machine Learning"
- class="btn btn-secondary">Learn More</a>
+ class="btn btn-secondary">Start Using Ignite Machine Learning</a>
</div>
</div>
</div>
@@ -693,11 +692,9 @@ under the License.
<div class="card-body">
<p class="text-muted">
With relational databases, you use triggers to react to certain events.
- With Ignite, you deploy continuous queries written in modern programming
- languages
- such as Java or C#, and process streams of changes on the database and
- application
- side:
+ With Ignite, you deploy continuous queries that are written in a modern
+ programming language such as Java or C# and process streams of changes on
+ the database and application side:
</p>
<div class="code-tabs">
@@ -750,7 +747,7 @@ under the License.
'event_label': 'continuous_queries'});"
title="Apache Ignite Continuous Queries"
aria-label="Apache Ignite Continuous Queries"
- class="btn btn-secondary">Learn More</a>
+ class="btn btn-secondary">Start Using Continuous Queries</a>
</div>
</div>
</div>
@@ -774,9 +771,9 @@ under the License.
<div class="txt-wrapper">
<h3>Applications Acceleration & Data Caching</h3>
<p>
- Gain up to 100x acceleration for existing applications by using Ignite as an
- in-memory cache or in-memory data grid that is deployed over one or multiple external databases.
- The cache that you can query with SQL, transact and compute on.
+ Accelerate your existing applications by 100x using Ignite as an in-memory cache or in-memory
+ data grid that is deployed over one or more external databases. Think of a cache that you can
+ query with SQL, transact, and compute on.
</p>
<a href="/use-cases/in-memory-data-grid.html" role="button" class="btn btn-primary" title="In-Memory Data Grid"
@@ -798,10 +795,9 @@ under the License.
<div class="txt-wrapper">
<h3>Database For Mixed Workloads</h3>
<p>
- Build modern applications that support transactional and analytical
- workloads by using Ignite as a database that scales beyond available memory capacity. Ignite
- always allocates memory for your hot data and goes to disk whenever applications query
- cold records.
+ Build modern applications that support transactional and analytical workloads by using Ignite as
+ a database that scales beyond the available memory capacity. Ignite allocates memory for your hot
+ data and goes to disk whenever applications query cold records.
</p>
<a href="/use-cases/in-memory-database.html" role="button" class="btn btn-primary"