Thinking like a Data-Driven Guy for Dropbox

dropbox

When I used Dropbox for the first time from my Linux box, it was a shining moment for me. In that time, I was looking precisely for a solution for my files that I used to let behind always in my USB memory. For every Linux user, which many of them loves Open Source software; collaboration is an important issue, and Dropbox came to save my work a lot of times, because the platform itself, is a synonym of collaboration, and this is one of the reason why I love the platform.

The other reason why I love the platform, that they use my favorite programming language for the core development of the proprietary synchronization daemon: Python, and 2012, Guido, the creator of the language was included in Dropbox’s payroll: Just awesome !!!

So, I want to do my little contribution to the platform, writing some ideas how to improve it and the business itself. I will divide this in some key points:

  • Improve blogging frequency in Tech’s blog about Data Science at Dropbox
  • Improve user engagement in Mobile devices using Localytics services
  • Hire to Greg Nudelman like consultant to improve Dropbox for Android, and work with Mailbox’s team for Android-based version
  • Build a high class Data Science team to get more useful and better insights from Dropbox massive data sets
  • Improve Marketing efforts using Inbound Marketing techniques focused on Facebook, Google Plus, LinkedIn, Twitter, Blogging, ebooks, etc

Continue reading “Thinking like a Data-Driven Guy for Dropbox”

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DataStax Enterprise 3.0: A synonym for High Secure Real-Time Analytics

DataStax

Some days ago, I had the pleasure to talk with two Apache Cassandra experts. The first was Edward Capriolo, a Hadoop System Administrator at Media6Degrees, organizer of the NYC Cassandra User Group and NYC NoSQL Meetups, author of the incredible “Cassandra High Performance Cookbook” book and one of the DataStax´s MVP.

The second was the same Jonathan Ellis, DataStax’s Chief Technology Officer and co-founder, who leads Apache Cassandra’s project too.

Continue reading “DataStax Enterprise 3.0: A synonym for High Secure Real-Time Analytics”

The Upcoming Big Wave: Mobile Analytics

Mobile Analytics

The Mobile Marketing Economic Impact study, directed by Peter A. Johnson, PhD and Joseph Plummer, PhD, both Adjunct Professors from the Columbia University in New York showed up in my inbox; in a combined news from Business Insider´s BII MOBILE INSIGHTS, where from WIRED, came the first interview to Sundar Pichai like the new Android’s boss at Google.

This made me to think to write a post about why I think that Mobile Analytics is the next Big Wave for business.

Continue reading “The Upcoming Big Wave: Mobile Analytics”

Choosing a MPP database is incredibly hard

Like the title says, to choose an enterprise-level Massive Parallel Processing (MPP) database is actually a big headache for every Data Science Manager; basically because there are very good choices around the tech world.

Continue reading “Choosing a MPP database is incredibly hard”

MSBA from NYU Stern: Born to shape Data Science Leaders

NYU Stern School of Business

Some days ago, I wrote a Tweet message that changed my perspective about Business Analytics. That message was sent to Anindya Ghose (@aghose), a professor of the well known New York Stern School of Business and Co-director of the Center for Business Analytics in the same institution. He is an expert in Social Media Analytics, Advertising effectiveness (one of the my favorite research fields), Mobile Advertising market and a lot of amazing stuff that you will amazed for his commitment.

But, he is not alone. With him, there are other brilliant minds working all together to create an amazing Master degree in Business Analytics. Who are? I will mention just two: Sinan Aral, another research leader in Social Networks, Social Media and Digital Strategy, and a Microsoft Faculty Fellow, who wrote an amazing article about the Power of Influence in Social Marketing in the Harvard Business Review, and the professor Vasant Dhar who is the Head of the Information Systems Group at New York University Stern School of Business. Dr. Dhar’s research is focused on Data-driven predictive analytics in Finance, Healthcare, and Social Phenomena. Continue reading “MSBA from NYU Stern: Born to shape Data Science Leaders”

Tableau Software: Rewriting the Story of Data Visualization

Feeling like a Storyteller fan

Storyteller

When I was a kid, I sat every afternoon, exactly to 6:00 PM a clock to watch another episode of a great serie created by Jim Hanson in 1988 called: “The Storyteller”, where an old man (John Hurt) and his funny talking dog (Brian Henson) recreated the best fabbles around the world, and I just saw and heard that with a great entertainment, that time passed quickly, and I began to count hours to see the next chapter in the next day. John’s voice was very quite and full of kindness, and every child in that time loves all stories told by the great storyteller.

You should be wondering why I began in this way. That has a single answer: I get the same feeling when I see a great infographic or a data visualization created with great tools like R in combination with ggplot2, the great matplotlib library from Python, or the amazing Tableau platform, because for me, the work of a Data Scientist is just one:

“To tell a great story behind numbers and facts with annoying graphics to say more than simple words and sofisticated statistics methods. To make it simple: You have to be a great Storyteller like John.”

But how do you do that quicker and easier? How do you build great data visualization in matters of seconds? Like I wrote before: Time, united to your mind, are the most important resources that you have, and you have to use them wisely, so I have an answer for you, my friend: Use Tableau Software. So, you should be wondering the 1 million question: WHY? Keep reading. Continue reading “Tableau Software: Rewriting the Story of Data Visualization”

Data Scientists: the world need us

Data Science

Some months ago, I wrote a post dedicated to new Data Scientists, giving my personal recommendation about several books that are pure gold, and great tools like Python, R, and Apache Hadoop. Right now, today is a new day for this kind of professional; yes, because, the Harvard Business Review (HBR) published a great article talking about the Data Scientist, written by Thomas H. Davenport and D.J. Patil; and I think that both did an incredible job in this writing, believe me, you should read it, you will not regreat. So, I want to dedicate these lines to the raising quantity of jobs with a shining title: “Data Scientist”. If you look today in any Job Board like Linkedin, AOL Careers , Indeed, SimplyHired, Technology Ladders or Dice, and you do a little search about this title, you will find more than 250 new open positions everyday, doing only the search in U.S. If you expand the search to more countries like UK, Germany, Ireland, India, China, Netherlands, the numbers grow like a completed madness. Continue reading “Data Scientists: the world need us”

Data Science paradigms

Hilary Mason

Don´t you know some Data Scientists? Here I let you my paradigms

There are a lot of professionals which want to become on Data Scientists (like me), but many times, they don’t know the work that current Data Scientists do on their work. I want to share with you some of the most well known Data Scientists, which love to share their knowledge with the world. Continue reading “Data Science paradigms”

Why Tumblr needs Data Science pros

Data Science

David, you need Data Science Pros to generate more revenue

Tumblr logo
Tumblr logo

Disclaimer: First, I’m a not a Tumblr employee, I just love the platform and I want to help them my ideas to generate more revenue because, I think that David( I refer to David Karp, founder and CEO of Tumblr) is facing some troubles with the investors. Look this post at BusinessInsider around this topic.

I love Tumblr for so many reasons that I want to give to them some ideas how to generate more revenue and take advertising to the next level. Continue reading “Why Tumblr needs Data Science pros”

Innovation, hard work and constant learning at Hadapt

Hadapt

Innovation, research and constant learning at Hadapt

I have the pleasure to make a great announcement from the Hadapt team: they are looking for Software development stars interesting to build the next generation database on top of the Hadoop platform. This information was posted in the Linkedin’s Hadoop Users group by Greg Clark, so if you are interested on this, you can contact him directly. Continue reading “Innovation, hard work and constant learning at Hadapt”