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Fix minor types on 'What is Presto' static page
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Signed-off-by: Kiersten Stokes <[email protected]>
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kiersten-stokes committed Aug 2, 2023
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6 changes: 3 additions & 3 deletions website/static/what-is-presto.html
Original file line number Diff line number Diff line change
Expand Up @@ -174,7 +174,7 @@ <h5 class="mb-0"><b>Caching with RaptorX</b></h5>Disaggregate storage from compu
class="blue-dot-large"></span>
</div>
<div class="col-12 col-md-10 my-3">
<h5 class="mb-0"><b>Disaggregated Coordinator (aka Fireball)</b></h5>Scale out the coordinator horiztonally and revamp
<h5 class="mb-0"><b>Disaggregated Coordinator (aka Fireball)</b></h5>Scale out the coordinator horizontally and revamp
the&nbsp;RPC&nbsp;stack.<br><a
href="https://github.com/prestodb/presto/issues/10174" target="_blank">Github</a> | <a
href="https://prestodb.io/blog/2022/04/15/disggregated-coordinator">Blog</a>
Expand Down Expand Up @@ -209,7 +209,7 @@ <h2>Why Presto?</h2>
<h3 class="mb-3">One Language</h3>
<p>Different engines for different workloads means you will have to re-platform down
the&nbsp;road. </p>
<p>With Presto, you get 1 familar ANSI SQL language and 1 engine for your data analytics so you don't
<p>With Presto, you get 1 familiar ANSI SQL language and 1 engine for your data analytics so you don't
need to graduate to another lakehouse engine. Presto can be used for interactive and batch
workloads, small and large amounts of data, and scales from a few to thousands of&nbsp;users.</p>
</div>
Expand All @@ -231,7 +231,7 @@ <h3 class="mb-3">One Interface</h3>
<div class="row sequential-fadein align-items-center" style="max-width: 1024px; margin: 3em auto;">
<div class="col-12 col-md-6">
<h3 class="mb-3">Fast, Reliable &amp; Efficient</h3>
<p>Data infrastructure costs can explode, especially with proprietary systeems like data warehouses, as
<p>Data infrastructure costs can explode, especially with proprietary systems like data warehouses, as
the data size and users workloads grow.</p>
<p>Presto is battle-tested at Meta and Uber and can scale to meet growing data sizes and workloads. It's
faster and more efficient than other engines because it's optimized for large numbers of small
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