Alpine Analytics Platform to Make Data Analytics Drag-And-Drop Easy
FREMONT, CA: Alpine Data labs, an analytics interface working with Apache Hadoop and big data is completely committed to make data analytics drag-and-drop easy and revolutionize analytics. In the interview with Venture Beat, Joel Horwitz, Director of Products and Marketing at Alpine share his thoughts on their analysis platform, market and plans for future.
Alpine platform collaborate data, people, insights in one single place and with its visual and simple interface promises secure and transparent data source, analysis, and results. It brings about reduction in the expense of endless iteration by creating a feedback loop and with an easy to use API it allows users to create, update, and deploy workflows efficiently.
This code free data analytics platform gives valuable data insights in minutes using full statistical functionality including Time-Series Analysis, Classification, Regression, and Decision Trees. With Alpine users can avoid creation of siloed data environment.
Being built by data scientists for data scientists originally, the startup is making its move in the large world of enterprise. In the interview Horwitz agrees, “It’s not the most complete solution on the market—certainly there are others that have been around for years. But our offering meets the needs of most of the business analysts we talk to today.”
Talking about data migration he says, “We’re basically making things super simple on Hadoop. Most other platforms require you to move data, so if you want to use data in Hadoop, there’s a whole [extract, transform, load] process that needs to happen to migrate your data in there.”
“For us, we don’t really care where your data is; we’ll connect to it and then we’ll let you do the analysis where it lives. That’s really powerful when you start talking about truly large data sets, because the cost of transferring that data goes up exponentially,” he continues.
Alpine’s customers extend from media to telecom with Ericsson and BlackBerry to financial industries with Morgan Stanley and Barclay to health care with Kaiser Permanente.
He says that much of today’s data is coming from mobile devices, Web 2.0 and the cloud applications. “I can foresee a ton of other applications coming out that are very purpose-built: This is the data set; this is the algorithm; and this is how we’re going to sell it. I see more data products coming onto the market,” he adds with optimism.