SOURCE: Platfora

Platfora

October 15, 2014 08:00 ET

Platfora Showcases the Next Generation Hadoop and Spark End-to-End Analysis Solution for Business Analysts

Company Leads Industry Transition From Business Intelligence to Big Data Analytics With Apache Spark and the Next Generation of Spark-Powered Data Preparation; Solution Provides Unprecedented Time to Insight on Multi-Structured Data

NEW YORK, NY--(Marketwired - Oct 15, 2014) - At the Strata + Hadoop Conference tomorrow, Platfora's CEO Ben Werther will deliver a keynote highlighting the rapid industry shift from traditional business intelligence to end-to-end big data analytics. He will showcase the next evolution of Platfora's native end-to-end platform that directly leverages Apache Hadoop and Apache Spark, and seamlessly incorporates the next generation of data preparation technology. Together, these give business analysts an unprecedented ability to derive insight in minutes from ever increasing volumes of multi-structured data spanning transactions, customer interactions and machine data.

"Organizations are replacing IT-centric analytics software in favor of solutions that can be used directly by anyone in the company with no programming required," said Nik Rouda, senior analyst at ESG Research. "In this emerging category, Platfora offers a promising native-Hadoop and native-Spark approach that can help organizations become much more productive and competitive with analytics."

"Apache Spark provides access to advanced analytical capabilities like machine learning, predictive analytics and graph processing that our team is excited to leverage as part of Platfora's end-to-end offering," said Andrew Robbins, CEO of Paytronix, a customer insight services and loyalty program provider to restaurants. "The Platfora Big Data Analytics platform guarantees that we'll be able to keep pace with upcoming big data innovation while focusing on deriving competitive advantages from our stored information."

Since the introduction of Platfora Big Data Analytics in 2012, the company has continually improved upon its vision of fueling data-driven enterprises by driving partnerships with the leading commercializers of Hadoop such as Cloudera, Hortonworks, MapR, Pivotal and Databricks to stay on the forefront of analytics technology development. "The future of analytics will be paved by end-to-end platforms that leverage Spark and can go all the way down to the raw data without painful data preparation cycles or the need to make big data small to accommodate old BI assets," said Ben Werther, founder and CEO of Platfora. "For business analysts and executives, the power to know now, and not six months after an IT project, is what differentiates a company from becoming the leader in its space, and not the loser."

"Apache Spark is a valuable part of the enterprise data hub and we're pleased to see its adoption not just among our customers but also key partners. Platfora is the first big data analytics platform to integrate Spark at every level of the analytics stack," said Charles Zedlewski, vice president, Products at Cloudera. "Together, our customers can harness constant innovation in the open source community without having to worry about how it fits into their infrastructure."

Visual Data Preparation within an End-to-End Big Data Analytic Solution
As part of Platfora's commitment to providing a complete end-to-end platform for analytics, the company is addressing the common pains of data preparation head on, which today, consume 60% of the time to complete an analytics project. Platfora Big Data Analytics will provide next-generation visual data preparation capabilities that are built on Apache Spark and result in a seamless analyst workflow from raw data to visual analysis and insight. Business users can select, prepare and analyze data in an iterative fashion with limited or no assistance from data administrators. Platfora profiles datasets that land in Hadoop and provides helpful statistics so users can determine data quality issues, suggestions on how to transform their data, and recommend how datasets will integrate with enterprise data model. These capabilities eliminate the need for third-party data preparation tools and reduce the analytics workflow from weeks to hours. 

"Spark has quickly emerged as the standard for next-generation data applications thanks to its ability to deliver blazing fast speeds, ease of use, and a unified platform that spans the spectrum of data processing needs," said Ion Stoica, CEO of Databricks. "Platfora is a terrific example of a platform that has embraced the power of Spark to enable greater effectiveness and productivity for business analysts, and we're thrilled to be working with the company on this effort."

Harness an Ecosystem of New Capabilities with Platfora Platform Extensions
The Apache Spark ecosystem is rapidly advancing, with new libraries for machine learning, graph analysis and a range of other analytical techniques. Platfora is making it possible to extend its platform with new capabilities such as these to meet a wide range of customer needs. Developers can develop and register their Platfora Platform Extensions (PPEs) within the product, and business analysts can harness these new capabilities with just a few clicks. PPEs can include custom UI controls to make them accessible by less technical users.

About Platfora
Platfora is the #1 Big Data Analytics platform built natively on Hadoop and Spark. Platfora puts big data directly into the hands of business people through self-service analytics that help them uncover new opportunities that were once impossible or impractical across transaction, customer interaction and machine data. An interactive and visual full-stack platform delivered as subscription software in the cloud or on-premises, Platfora Big Data Analytics is creating data-driven competitive advantages in the areas of security, marketing, finance, operations and the Internet of Things for leading organizations such as Citi, Sears, AutoTrader, Disney, Edmunds.com, Opower, Riot Games, Vivint and TUI Travel. Learn more about Platfora, read our blog, or follow @platfora #YouShouldKnow. http://www.platfora.com