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ACM Events Digest 1/13-1/17

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Overview:

1/13 – ACM Career Fair Prep Talk

1/14 – Amazon Tech Talk

1/15 – Resume Review Workshop

1/16 – White Pages Tech Talk

ACM Career Fair Prep Talk

1/13; 5:30-6:30pm; EEB 105

Want to do better at the next career fair? Couldn’t go to the internship panel? Learn how to succeed for the next career fair by going to ACM’s Career Fair Prep Talk  next Monday at 5:30pm in EEB105! We’ll go over all your options and tips for how to get a job, direct from CSE majors who have gone through the same experiences you have.

Amazon Tech Talk: From Our Warehouse to Our Customers’ Hands: A Day in the Life of an Amazon Package

1/14; 6:00-7:15pm; EEB 125

From Our Warehouse to Our Customers’ Hands: A Day in the Life of an Amazon Package By Anand Varadarajan, Senior Manager in Fulfillment By AMAZON Team (With Amazon for over 6 years!) When: Tuesday, January 14th Where: EE 125 Time: 6:00-7:15pm Amazon is hiring Software Development Engineers for: Internships, Co-ops, and Full-Time. BRING YOUR RESUME! FREE FOOD and GIVE AWAYS!

Resume Review Workshop

1/15; 2:30-5:30pm; Atrium

Have your resume reviewed by recruiters from major companies. Refine your resume to let it shine!

Whitepages Tech Talk: Scalability Sucks

1/16; 6-7:30pm; EEB125

By: Dr. Steve Hanks, Principal Data Scientist, WhitePages.com For all CSE students who want to learn more about scalability. The world of Scalability is glamorous and magical: we get to use cool technologies with sexy names, and magical things happen, we have a tough problem and we throw a Scalability Technology at it, and results flow quickly and easily…..or so it seems from the outside and/or in the classroom. Our experience (WhitePages Data Group) has been a quite different. We have significant, challenging problems of scale, both in the size of our data artifacts, and in the number of updates we have to process to keep it accurate and up to date. But our day-to-day lives are much more mundane than the glamorous world where Hadoop meets NoSql meets Scala, and results flow smoothly, and bigger problems are solved by bolting on a node or two. While we are heavy users of Hadoop, are typically running EC2 instances in the hundreds, and are exploring three of four alternatives to Postgres, we have found no “silver bullet” technology, cutting-edge or otherwise. Rather, for us, scaling problems tend to be insidious and move around a lot, and we feel like firefighters (or worse, like mole-whackers) at least as often as we feel like Data Scientists. While we are heavy users of Hadoop, typically running EC2 instances in the hundreds and exploring three or four alternatives to Postgres, we have found no “silver bullet” technology, cutting-edge or otherwise.

January 13, 2014