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new 7067427d7a Update Key Features
7067427d7a is described below
commit 7067427d7a11f1131c8d9bc3fb843a19f5e79707
Author: Jingsong <[email protected]>
AuthorDate: Mon Mar 4 17:11:17 2024 +0800
Update Key Features
---
main/index.html | 34 +++++++++++++++++-----------------
1 file changed, 17 insertions(+), 17 deletions(-)
diff --git a/main/index.html b/main/index.html
index a322b338b2..487cc90407 100755
--- a/main/index.html
+++ b/main/index.html
@@ -79,7 +79,7 @@ under the License.
<div class="col-12 text-center"><h2>Key Features</h2></div>
</div>
<div class="row py-4 justify-content-center m-1">
- <div class="card shadow col-md-10 col-lg-5 m-3">
+ <div class="card shadow col-md-10 col-lg-5 col-xl-3 m-3">
<div class="card-body">
<div class="text-center text-primary">
<h2><i class="bi bi-shuffle"></i></h2>
@@ -88,49 +88,49 @@ under the License.
<div class="py-3">Primary-key table supports real-time streaming
updates of large amounts of data. Real-time query within 1 minute.</div>
</div>
</div>
- <div class="card shadow col-md-10 col-lg-5 m-3">
+ <div class="card shadow col-md-10 col-lg-5 col-xl-3 m-3">
<div class="card-body">
<div class="text-center text-primary">
<h2><i class="bi bi-calculator"></i></h2>
<h5>Flexible Updates</h5>
</div>
- <div class="py-3">Support defining Merge Engines, update records
however you like. Deduplicate to keep last row, or partial-update, or aggregate
records, or first-row, you decide.</div>
+ <div class="py-3">Defining Merge Engines, update records however
you like. Deduplicate to keep last row, or partial-update, or aggregate
records, or first-row, you decide.</div>
</div>
</div>
- <div class="card shadow col-md-10 col-lg-5 m-3">
+ <div class="card shadow col-md-10 col-lg-5 col-xl-3 m-3">
<div class="card-body">
<div class="text-center text-primary">
<h2><i class="bi bi-clipboard2-pulse"></i></h2>
<h5>Change-tracking Updates</h5>
</div>
- <div class="py-3">Support defining changelog-producer, produce
correct and complete changelog in updates for merge engines, simplifying your
streaming analytics.</div>
+ <div class="py-3">Defining changelog-producer, produce correct
and complete changelog in updates for merge engines, simplifying your streaming
analytics.</div>
</div>
</div>
- <div class="card shadow col-md-10 col-lg-5 m-3">
+ <div class="card shadow col-md-10 col-lg-5 col-xl-3 m-3">
<div class="card-body">
<div class="text-center text-primary">
- <h2><i class="bi bi-clipboard2-pulse"></i></h2>
- <h5>Data Lake Capabilities</h5>
+ <h2><i class="bi bi-table"></i></h2>
+ <h5>Append Data Processing</h5>
</div>
- <div class="py-3">Low cost, High reliability, Scalable metadata,
Time Travel and Full Schema Evolution. All advantage as a data lake
storage.</div>
+ <div class="py-3">Append table (no primary-key) provides large
scale batch and streaming processing capability. Supports compaction with
z-order sorting.</div>
</div>
</div>
- <div class="card shadow col-md-10 col-lg-5 m-3">
+ <div class="card shadow col-md-10 col-lg-5 col-xl-3 m-3">
<div class="card-body">
<div class="text-center text-primary">
- <h2><i class="bi bi-table"></i></h2>
- <h5>Huge Append Data Processing</h5>
+ <h2><i class="bi bi-calendar-event"></i></h2>
+ <h5>Query Data Skipping</h5>
</div>
- <div class="py-3">Append table (no primary-key) provides large
scale batch & streaming processing capability. Supports Data Compaction with
z-order sorting to optimize file layout.</div>
+ <div class="py-3">Based on indexes such as minmax, filter
irrelevant files and provide high-performance queries, more indexes are being
supported.</div>
</div>
</div>
- <div class="card shadow col-md-10 col-lg-5 m-3">
+ <div class="card shadow col-md-10 col-lg-5 col-xl-3 m-3">
<div class="card-body">
<div class="text-center text-primary">
- <h2><i class="bi bi-calendar-event"></i></h2>
- <h5>Data Skipping</h5>
+ <h2><i class="bi bi-clipboard2-pulse"></i></h2>
+ <h5>Data Lake Capabilities</h5>
</div>
- <div class="py-3">Based on indexes such as minmax, filter
irrelevant files and provide high-performance queries.</div>
+ <div class="py-3">Low cost, High reliability, Scalable metadata,
Time Travel and Full Schema Evolution. All advantage as a data lake
storage.</div>
</div>
</div>
</div>
