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 <[email protected]>
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"
