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 e917556 Final text edits before sending to a technical editor for the
review
e917556 is described below
commit e9175564845c3292a1b3bee3478344a67568bcbb
Author: Denis Magda <[email protected]>
AuthorDate: Tue Dec 22 12:33:48 2020 -0800
Final text edits before sending to a technical editor for the review
---
index.html | 42 ++++++++++++++++++------------------------
1 file changed, 18 insertions(+), 24 deletions(-)
diff --git a/index.html b/index.html
index fee0b20..dac7a3d 100644
--- a/index.html
+++ b/index.html
@@ -189,13 +189,13 @@ under the License.
<strong>
APACHE IGNITE<br/>
</strong>
- Distributed Database For In-Memory Speed At Limitless Scale
+ Distributed Database For In-Memory Speed And
High-Performance Computing
</h1>
<div class="buttons">
<a href="/docs/latest/index"
onclick="gtag('event', 'homepage_click',
{'event_category':'main_banner', 'event_label': 'getting-started'});"
- class="btn btn-primary">Getting Started</a>
+ class="btn btn-primary">Get Started</a>
</div>
</div>
@@ -271,7 +271,7 @@ under the License.
<div class="cta-link">
<a href="/use-cases/provenusecases.html"
onclick="gtag('event', 'homepage_click',
{'event_category':'logos', 'event_label': 'told_ignite_stories'});">
- View Told Ignite Stories
+ View Ignite Stories...
</a>
</div>
@@ -463,12 +463,10 @@ under the License.
<div class="card-body">
<p class="text-muted">
- Work with Ignite as with a
traditional SQL database
- using JDBC, ODBC drivers, or
native SQL APIs available for Java, C#, C++,
- Python,
- and other programming languages.
Join, group, aggregate, and order your
- distributed
- in-memory and on-disk data records:
+ 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
+ distributed in-memory and on-disk
data:
</p>
<div class="code-tabs">
@@ -596,7 +594,7 @@ under the License.
<svg>
<use
xlink:href="#index-icons--Compute"></use>
</svg>
- <span>Co-located Compute</span>
+ <span>Co-located Compute in Java,
Scala, Kotlin, C#, C++</span>
</a></h3>
</div>
@@ -605,11 +603,9 @@ under the License.
<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 programming
- languages like Java or C# to
develop custom tasks and get them executed
- across
- the distributed database:
+ 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:
</p>
<div class="code-tabs">
@@ -669,7 +665,7 @@ under the License.
<svg>
<use
xlink:href="#index-icons--Machine-Learning"></use>
</svg>
- <span>Machine Learning</span>
+ <span>Built-In Machine Learning</span>
</a></h3>
</div>
<div id="feat-vtab-cb-ml" class="collapse"
data-parent="#v-pills-tabContent"
@@ -677,13 +673,11 @@ under the License.
<div class="card-body">
<p class="text-muted">
- Ignite Machine Learning is a set
of built-in algorithms and tools that
- allow building scalable machine
learning models avoiding costly data
- transfers
- between Ignite and an external
system.
- Train, deploy, evaluate and update
your machine learning models continuously
- and at
- scale:
+ 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:
</p>
<div class="code-tabs">
@@ -817,7 +811,7 @@ under the License.
<div class="container">
- <h2>Typical <strong>Use Cases</strong></h2>
+ <h2>How to <strong>Use</strong></h2>
<div class="row">
<div class="txt-wrapper">
