Browsing articles tagged with " Big Data"

Join the live streaming Cloud Field Day 1 #CFD1

Sep 14, 2016   //   by Karen Lopez   //   Analytics, Blog, Cloud, Data, DLBlog, Events, Open Data, Speaking  //  1 Comment

I’m a delegate at the inaugural Cloud Field Day. We’ll be live streaming all the events, including our podcasts today and tomorrow.

Wednesday:

Podcast on Is Data Boring?

Podcast on Is Cloud Tech the solution or is it the Cloud Process?

Podcast on Is DevOps A Load of Crap?

Visit with Cisco

Visit with Druva

Visit with Scality

Visit with Docker

 

Panel: Will the DBA Job of the Future Still Involve DBAs? – SQL Saturday Huntington Beach

Apr 2, 2016   //   by Karen Lopez   //    //  No Comments

SQL Saturday HB logo

Although technologies have been changing rapidly since the creation of databases, the basic tasks that a database administrator (DBA) has performed have been a stable foundation of professional database design and support. But now NoSQL technologies, the cloud, and new SQL Server features are affecting DBA jobs, tasks, and careers.

Our panel of SQL Server experts share their current experiences in the data profession. They share what they believe you should be working towards now and in the future.

#CERNTweetup: A Visit to CERN

Sep 26, 2013   //   by Karen Lopez   //   Blog, Fun, Social Networking  //  No Comments

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Starting today I will be visiting CERN, the Conseil Européen pour la Recherche Nucléaire with 11 other STEM social media advocates. What is CERN? It’s the location of the Large Hadron Collider and the birthplace of the World Wide Web. From the CERN Website:

At CERN, the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. They use the world’s largest and most complex scientific instruments to study the basic constituents of matter – the fundamental particles. The particles are made to collide together at close to the speed of light. The process gives the physicists clues about how the particles interact, and provides insights into the fundamental laws of nature.

I will be sharing facts, images and videos via this blog and other social media.

I will be tweeting about this event a lot using the hashtag #CERNTweetup. If you aren’t interested in this sharing, you can use the filtering mechanism of your Twitter client to avoid those tweets.

…or your can use the search feature of your client to follow the tweets of all the invitees. Isn’t metadata great that way?

Was I Too Snarky? A Big Data NoSQL Roast

May 7, 2012   //   by Karen Lopez   //   Blog, Data, Data Modeling, Fun, Professional Development, Snark, Speaking  //  2 Comments

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At Enterprise Data World last week I had a chance to defend my crown at the Lightning Talk sessions.  Lightning Talks are 5 minute presentations, usually done to highlight one point or to motivate people to go do something.

Most of my lightning talks, though, are rants on some thing.  Think a 5-minute long roast.  This year, I picked on Big Data and NoSQL names and terms.  While it appears that one person didn’t fully grasp the "roast" part of this rant, I think I did okay. At least most of the laughter wasn’t at me, but with me.

Mark Burnelli, Senior New Editor at SearchDataManagment.techtarget.com wrote an article about my rant:

The humorous verbal shellacking of big data — which generated plenty of audience laughs — came at the hands of Karen Lopez, a senior project manager and principal consultant with InfoAdvisors Inc. Lopez is also proprietor of the popular Datachick Twitter feed and often uses that outlet to post admittedly snarky comments about the world of information management.

Datachick gives ‘big data’ a verbal beat down at Enterprise Data World

I did start my presentation by saying:

By the way, every single one of these rants is totally unfair, cherry picked and irreverent.  I know. It’s shocking.

I will be blogging the entire rant over on Dataversity.net and will post here when it goes live.

Update:

I should also mention, to those of you snickering, that I am currently drafting a similar rant for the RDBMS technology/naming/terminology set.  It will also be full of snark.  Shocking, I know.

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