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commit aaf27409aae973f18f12ff28bb2b01963493133c
Author: buildbot <[email protected]>
AuthorDate: Wed Nov 17 18:01:30 2021 +0000
Automatic Site Publish by Buildbot
---
output/docs/Background/Presentations.html | 4 ++--
output/docs/Community/KDD_Tutorial_Summary.html | 4 ++--
output/docs/Community/Research.html | 2 +-
output/docs/Graduation/Maturity.html | 2 +-
output/index.html | 2 +-
5 files changed, 7 insertions(+), 7 deletions(-)
diff --git a/output/docs/Background/Presentations.html
b/output/docs/Background/Presentations.html
index 14322f0..4515a14 100644
--- a/output/docs/Background/Presentations.html
+++ b/output/docs/Background/Presentations.html
@@ -525,7 +525,7 @@
</tr>
<tr>
<td>Presenter</td>
- <td>Daniel Ting (Tableau Software), Jonathan Malkin (Verizon), Lee
Rhodes (Verizon)</td>
+ <td>Daniel Ting (Tableau Software), Jonathan Malkin (Yahoo), Lee Rhodes
(Yahoo)</td>
</tr>
<tr>
<td>Date</td>
@@ -587,7 +587,7 @@
</tr>
<tr>
<td>Presenter</td>
- <td><a href="https://www.linkedin.com/in/leerho/";>Lee Rhodes</a> from <a
href="https://www.verizonmedia.com/";>Verizon Media (Yahoo)</a></td>
+ <td><a href="https://www.linkedin.com/in/leerho/";>Lee Rhodes</a> from <a
href="https://www.verizonmedia.com/";>Yahoo</a></td>
</tr>
<tr>
<td>Date</td>
diff --git a/output/docs/Community/KDD_Tutorial_Summary.html
b/output/docs/Community/KDD_Tutorial_Summary.html
index 0d39a4a..2f49f59 100644
--- a/output/docs/Community/KDD_Tutorial_Summary.html
+++ b/output/docs/Community/KDD_Tutorial_Summary.html
@@ -204,11 +204,11 @@
<p>Daniel Ting is a researcher in Tableau working primarily on data sketching
with sketching work published in KDD, SIGMOD, and NeurIPS. His work in the area
was initially inspired by problems he encountered while on Facebook’s core data
science team where he built systems for large scale online experimentation. He
obtained his PhD in Statistics from U.C. Berkeley.</p>
-<p>Jon Malkin is a senior principal research engineer at Verizon Media and a
contributor to the Apache DataSketches project. He has experience with
large-scale data processing, both brute-force and with sketches, from roles in
computational advertising and website traffic analytics. He obtained his PhD in
Electrical Engineering from the University of Washington.</p>
+<p>Jon Malkin is a senior principal research engineer at Yahoo and a
contributor to the Apache DataSketches project. He has experience with
large-scale data processing, both brute-force and with sketches, from roles in
computational advertising and website traffic analytics. He obtained his PhD in
Electrical Engineering from the University of Washington.</p>
<h2 id="contributor-bio">Contributor Bio</h2>
-<p>Lee Rhodes is a Distinguished Architect at Yahoo (now Verizon Media). He
created the DataSketches project in 2012 to address analysis problems in
Yahoo’s large data processing pipelines. DataSketches was Open Sourced in 2015
and is now a top level project in the Apache Software Foundation. He was an
author or coauthor on sketching work published in ICDT, IMC, and JCGS. He
obtained his Master’s Degree in Electrical Engineering from Stanford
University.</p>
+<p>Lee Rhodes is a Distinguished Architect at Yahoo. He created the
DataSketches project in 2012 to address analysis problems in Yahoo’s large data
processing pipelines. DataSketches was Open Sourced in 2015 and is now a top
level project in the Apache Software Foundation. He was an author or coauthor
on sketching work published in ICDT, IMC, and JCGS. He obtained his Master’s
Degree in Electrical Engineering from Stanford University.</p>
<h2 id="societal-impact">Societal Impact</h2>
diff --git a/output/docs/Community/Research.html
b/output/docs/Community/Research.html
index 98c806a..1f3f3b7 100644
--- a/output/docs/Community/Research.html
+++ b/output/docs/Community/Research.html
@@ -534,7 +534,7 @@
The library is written in Java and C++ (with adaptors to Python), and contains
state of the art algorithms for a variety of basic query classes, including
identifying frequent items, unique count queries, computing quantiles and
histograms, and sampling. It will soon contain algorithms for matrix analytic
tasks such as PCA as well.
All algorithms in the library produce mergeable summaries, and come with
formal guarantees on the accuracy of the answers returned.</p>
-<p>The original core contributors to the library are Lee Rhodes, Jon Malkin,
and Alex Saydakov (all at Yahoo/Verizon Media), Justin Thaler (Assistant
Professor at Georgetown University, Department of Computer Science), and Edo
Liberty (Principal Scientist at Amazon Web Services and manager of the
Algorithms group at Amazon AI), but we continue to grow our community.</p>
+<p>The original core contributors to the library are Lee Rhodes, Jon Malkin,
and Alex Saydakov (all at Yahoo), Justin Thaler (Assistant Professor at
Georgetown University, Department of Computer Science), and Edo Liberty
(Principal Scientist at Amazon Web Services and manager of the Algorithms group
at Amazon AI), but we continue to grow our community.</p>
<p>The library has been adapted throughout industry and government. For
example, at Yahoo, where it was conceived and created, the library is widely
used internally to reduce processing time from days to seconds for many tasks.
At SpliceMachine, it is used for database query planning and optimization. It
is also deeply embedded into a low-latency open source data store called Druid,
as well as an open source graph database called Gaffer that is maintained by
the British intelligence agen [...]
diff --git a/output/docs/Graduation/Maturity.html
b/output/docs/Graduation/Maturity.html
index 10303e2..280a2b0 100644
--- a/output/docs/Graduation/Maturity.html
+++ b/output/docs/Graduation/Maturity.html
@@ -911,7 +911,7 @@ that affect the project are also documented on that
channel.</p>
<h4 id="yes-31">Yes.</h4>
<ul>
- <li>Our project has committers and contributors from Verizon Media, Inc.;
Hypercube, Inc.; Permutive, Inc. UK;
+ <li>Our project has committers and contributors from Yahoo, Inc.; Hypercube,
Inc.; Permutive, Inc. UK;
Tableau (Salesforce, Inc.); Georgetown University, Washington, D.C.; Warwick
University, UK;
UC Berkeley; Apache Druid, and other researchers and engineers from around the
world.</li>
</ul>
diff --git a/output/index.html b/output/index.html
index e0215fb..60d64c5 100644
--- a/output/index.html
+++ b/output/index.html
@@ -137,7 +137,7 @@
<p>If approximate results are acceptable, there is a class of specialized
algorithms, called streaming algorithms, or <a
href="/docs/Background/SketchOrigins.html">sketches</a> that can produce
results orders-of magnitude faster and with mathematically proven error bounds.
For interactive queries there may not be other viable alternatives, and in the
case of real-time analysis, sketches are the only known solution.</p>
-<p>For any system that needs to extract useful information from big data these
sketches are a required toolkit that should be tightly integrated into their
analysis capabilities. This technology has helped Yahoo (Verizon Media)
successfully reduce data processing times from days or hours to minutes or
seconds on a number of its internal platforms.</p>
+<p>For any system that needs to extract useful information from big data these
sketches are a required toolkit that should be tightly integrated into their
analysis capabilities. This technology has helped Yahoo successfully reduce
data processing times from days or hours to minutes or seconds on a number of
its internal platforms.</p>
<p>This project is dedicated to providing a broad selection of sketch
algorithms of production quality. Contributions are welcome from those
interested in further development of this science and art.</p>
</div>
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