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  <div class="vevent h-event"> <h1 class="summary p-name">Big Data? No Problem! An introduction to arrow for R</h1> <div class='date'><time class="dtstart dt-start" title="2026-11-16T17:00:00" datetime="2026-11-16T17:00:00">Monday, November 16, 2026 from 5</time>–<time class="dtend dt-end" title="2026-11-16T19:00:00" datetime="2026-11-16T19:00:00">7pm</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202390282'><span class='fn org p-name'>Lucky Labrador Brew Pub</span></a> <div class="adr p-adr h-adr"> <div class="street-address p-street-address">915 SE Hawthorne Boulevard</div> <span class="locality p-locality">Portland</span> , <span class="region p-region">Oregon</span> <span class="postal-code p-postal-code">97214</span> <div class="country-name p-country-name">US</div> (<a href='https://maps.google.com/maps?q=915%20SE%20Hawthorne%20Boulevard,%20Portland%20Oregon%2097214%20US'>map</a>) </div> </div> <div class="description p-description"> <p>Working with data that's too large, too slow, or too messy for regular CSVs? Join us for an introduction to the {arrow} package in R. We'll explore how Arrow and Parquet files can make large datasets faster to store, read, and analyze, all while using the familiar dplyr workflows you already know and love. Using Portland's Biketown data, we'll convert, query, and visualize millions of rides without breaking a sweat (or our laptops).</p> <p>Bring your laptop if you want to follow along.</p> <p>No need to RSVP via Meetup, but we might share info ahead of time in the event comments!</p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="https://www.meetup.com/rladies-pdx/events/317067329/">Website</a></li> </ul> </div>