Technology

Why I’m Excited to Be Here!

Today's data landscape and the gamut of problems waiting to be solved opens huge potential for new technologies and new approaches. That's obvious to most of us by now. Data is everywhere, it's fluid and fast-changing, and companies are struggling to make sense of it. Until now, there was no easy way to unlock all of this data and harness its potential. That is, until I met the team at ClearStory Data and saw their product.

When I saw ClearStory's approach to simplifying disparate data analysis, I knew right away that they were onto something big and I just had to be a part of it. I don't just love the vision; I love what I see today. Continue reading.

Brian Zotter

Data & Design

Design Thinking in a Big Way (continued)

At ClearStory Data, our product is designed to put information and insight quickly into the hands of a diverse set of end-users who are often widely dispersed across an organization. We want timely and insightful analysis to be an everyday activity for everyone within the organization. In order to achieve this goal, we are investing heavily in designing the user experience of our product.

In this continuation of Sunday's blog post, I'd like to share two more critical principles that are helping us achieve the goal of great product design at ClearStory Data. Continue reading.

Douglas van der Molen

Data & Design

Design Thinking in a Big Way

Collecting, converging, and accessing petabytes of data isn't for the faint of heart. Some of the brightest minds in technology have applied their intellectual muscle to create innovative technical solutions that deal with big data. Recently, we have seen a lot of technical progress, but making big data systems effective for business decision-making has not progressed as quickly. In a recent study, a third of executives recognized that their organizations were using big data systems that "weren't designed to meet their needs." If the democratization of data is essential to advancing business decisions, it's time to make volumes of diverse data far easier to work with.

At ClearStory, we are enabling organizations to move to a data-driven business culture by delivering products that are useful, easy to use, and accelerate insight. Continue reading.

Douglas van der Molen

Technology

Big Data: From Batch Processing to Interactive Analysis

‘Big Data’ is either very popular these days, or infamous, depending on who you ask, but it certainly has everyone's attention. For the most part, it has also become synonymous with Hadoop, and for good reason. Hadoop and its primary programming model, MapReduce, are great for batch-oriented processing of huge amounts of data. With growing data, Hadoop enables you to horizontally scale your cluster by adding commodity nodes and thus keep up with query workloads.

But MapReduce's batch-oriented processing can only go so far. Problems with high latency of execution, real-time and streaming data management, an API that is too low-level and involved for mass adoption, and other issues have resulted in a dramatic evolution of the platform itself. This evolution has forced the addition of support for higher level languages (Pig & Hive), new real-time storage engines (HBase), extensions for streaming data (Hadoop Streaming), and the most recent addition, Impala, from Cloudera. Continue reading.

Vaibhav Nivargi

Business

from data to quick answers in 2013

big data quickly became the buzzword of 2012. but it was merely a warm up for what’s coming. 2013 will be the year that business users will be able to directly consume data and get answers to key business questions.

that's why I'm excited about kleiner perkins' investment in clearstory data. data is everywhere, impacting everyone. however, the power to ask questions and get answers from data remains in the hands of data scientists. 2013 will change that. Continue reading.

Mike Abbott

Business

It’s Time to Change How Data is Used

You don't need to hire an expert in geospatial analysis to get driving directions from your mobile phone. Or bring on an expert in search algorithms to get a quick response to a Google query.

We get data every day, quickly and easily. We take these data-intensive actions for granted.

Why, then, is everything so much more difficult when businesses try to use data? At a time when data is increasingly recognized as the business currency of the 21st Century, companies are stuck with 20th Century tools when they try to work with it. Continue reading.

Sharmila Shahani-Mulligan