Data Wins: The WibiData Blog

Proud to be a Wibi

30 October 2013 By Sebastian Soto Comments.

Howdy! I currently spend three days of my week as an intern at WibiData, and I spend the rest of my week finishing up my degree in computer science at Stanford University, arguably one of the best places anyone my age could be. It’s even come as a complete surprise that now I find myself griping about having to attend such a wonderful university because I'd rather be at the office. I honestly can't pinpoint exactly what makes being a Wibi so special, but I think I can highlight a few reasons. The energy in the

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2013 Hadoop Ecosystem

28 October 2013 By Aaron Kimball Comments.

Today marks the beginning of Strata + Hadoop World, one of the industry’s largest gathering of Hadoop users, contributors and supporters. The first Hadoop World was held in 2009 and the landscape has grown and stabilized substantially over the past four years. Major enhancements to the Hadoop ecosystem have taken place in the past year alone. While the steady evolution of the core Hadoop platform provides increasing stability and performance, many features required for enterprise adoption are being fulfilled by an ever-expanding ecosystem of satellite projects orbiting Hadoop. Much (virtual) ink has been spilled about the relative merits of SQL

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How I got to WibiData

25 October 2013 By Adam Kahn Comments.

In April of 2007, I was wrapping up my Junior year at the Carnegie Mellon School of Computer Science.  I was wandering a career fair and eventually found myself interviewing for an internship at a company I had previously never heard of- Salesforce.com. That summer in San Francisco made me certain of a few things; working with smart, motivated people had a profoundly positive effect on my creative problem-solving abilities and San Francisco feels like home to me.  After graduating, I  accepted a full-time job at Salesforce, and spent a few years working on many different pieces

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Thrilled to be a Wibi

23 October 2013 By Caitlin Johnson Comments.

In my first few weeks at WibiData, I’ve learned a tremendous amount, met many great people and have even witnessed the team grow - four other new Wibis have started since my first day in the office! I’ve been in tech for a few years, but I’m brand new to Big Data, including Hadoop, HBase and Scala, so the last couple of weeks have been a whirlwind of information. How did I end up here? I went to college at Carnegie Mellon with no intention of majoring in Computer Science, but after one intro

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Growing the Kiji Community!

21 October 2013 By WibiData Staff Comments.

In September 2010, WibiData started building a framework to provide developers tools to build applications using their data. The idea was to create a middleware that makes it faster and easier to ingest data and develop and deploy predictive models. In November 2012, WibiData released that technology to the community by open sourcing the Kiji Project. Since its release, Kiji has helped developers all over the world avoid the pitfalls of building a Customer Data Platform and serving their users better. Now, WibiData is excited to announce another milestone: the San Francisco Kiji User Group. In fact, WibiData customer and Kiji user,

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WibiNewbie

18 October 2013 By Dan Burkert Comments.

#WibiNewbie Two weeks ago, I moved from Washington, D.C. to San Francisco and started a new job on the platform engineering team at WibiData, making me the most recent "newbie." Moving across country to start a new job was not an easy decision, but it has proven to be a great one. Read on for a glimpse at what it's like to leave everything and go to work for a great company with amazing people, while working on interesting and challenging problems. #WibiMoving My first afternoon in San Francisco, I decided to attend the HBase Database meetup, but

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Translating User Insight into Business Value: The Model Life Cycle

16 October 2013 By Kiyan Ahmadizadeh Comments.

This blog post is the third in a series that explains how institutions can evolve from data miners to experience optimizers by building Big Data Applications using Kiji. The first two posts described the benefits of a customer data repository and how organizations tackle the challenge of ingesting a wide variety of data into a single system. This post details the next step, the model life cycle within Big Data Applications. The ability to store and process big data gives organizations unprecedented powers to tailor and customize application behavior to individual users. Interested in reading "1984?” Your online bookstore should

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WIBIDATA ANNOUNCES THE RELEASE OF THE KIJI “CHIRASHI” FOR BUILDING BIG DATA APPLICATIONS

3 October 2013 By WibiData Staff Comments.

Big Data Application Vendor WibiData Announces the release of the open-source Kiji BentoBox SDK v1.2 “Chirashi” including new and improved features for Building Big Data Applications San Francisco, CA – October 3, 2013 — WibiData announces the latest release of the Kiji Project, an open source framework for building Big Data Applications. The latest Kiji BentoBox brings powerful languages and libraries to the Hadoop and HBase stack. This marks the first release of BentoBox 1.2, called “Chirashi.” "The latest release of Kiji brings new features to our SDK for building Big Data Applications. With “Chirashi,” developers, data

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Data Silos Are Handicapping Your Business

2 October 2013 By Adam Kunicki Comments.

The proliferation of smartphones, tablets, smart TVs, interactive kiosks and traditional web channels has provided both opportunities and challenges for brands looking to engage consumers. There are an increasing number of touchpoints, and more importantly, massive quantities of data. According to a report by Cisco, mobile data traffic alone grew over 70% in 2012 reaching 885 petabytes per month.  That’s a lot of social media, content, downloads, clicks, swipes and taps. While most companies have already begun to introduce new systems to work with these new channels, few have begun to incorporate the data they collect from each channel

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