Welcome!

News Feed Item

Alpine 4.0 Puts an End to Big Data's Compromise With a Single Platform for All Enterprise Data

Alpine Data Labs' New Enterprise Platform Allows Data Teams to Access All Enterprise Data, Work Bi-Directionally With Hadoop, Discover and Share Insights at the Speed of Business

SAN FRANCISCO, CA -- (Marketwired) -- 07/22/14 -- Alpine Data Labs announced today the introduction of Alpine Chorus 4.0, the industry's first Advanced Analytics enterprise platform that enables universal data discovery and search, bi-directional integration between Hadoop and all major data platforms, as well as compatibility with Spark and Cloudera 5.

Alpine Chorus 4.0 brings innovation in data discovery, query parallelization and machine learning in distributed environments. The company also introduces the first of its kind life cycle management facility for Hadoop and non-Hadoop platforms which allows for sophisticated machine learning algorithms to be run and managed simply across heterogeneous data systems such as Cloudera, MapR, Pivotal HD or databases like PostGreSQL, Oracle and Greenplum. Complimentary access to Alpine Chorus 4.0 can be found at http://start.alpinenow.com

The Network Effect of Insights
"Research shows that only 4% of enterprises get business value out of their Big Data investment," says Joe Otto, President and CEO at Alpine Data Labs. "The current industry solutions encourage a siloed and non-scalable approach to Big Data and that simply limits progress. We focus on building the most comprehensive and scalable platform that enterprises can use to achieve Big Data ROI and to better connect people, data and insights. From helping people quickly visualize and work with any data, to running models 100 times faster on Spark, to operationalizing the deployment of real-time models via standards like PMML, customers using Alpine Chorus innovate faster because they can easily run deep algorithms at Big Data scale and in a timeframe of business relevance."

The new solution boasts over 100 new features and furthers the company's advantage in the field of Advanced Analytics. With Alpine Chorus 4.0, data scientists and engineers can be productive on any data -- Hadoop or not; business users are engaged early and quickly add value to the advanced analytics conversation; and finally, executives rely on a standard platform to build repeatable, secure and reusable analytical practices.

Over the last 6 months alone, the company has tripled its customer base and has grown by over 200% in the financial services, online media, government, retail and manufacturing sectors.

Data Discovery Made Simple
Most organizations cut into their competitive advantage early in the analytical process because their data scientists can't easily discover, assemble and transform data before working with it. That process can take months, because moving data is not simple and when it comes to working with Hadoop data, new skill sets need to be acquired.

Alpine Chorus 4.0's universal data discovery capability allows users to search, find and use data regardless of where it is. Using Alpine Chorus' "Google-like" search, users can find and browse any file, model, workflow, comment, dataset, etc. -- and when data is found, they can visualize it through powerful heat maps, scatter plots and histograms, all without data movement.

"This functionality alone made our team more effective. It allowed us to assemble and understand data quickly, without the complexity of working with MapReduce, or Pig or SQL," says Ron Rasmussen, CTO & SVP Engineering at Xactly Corp. "Our ability to work rapidly and iterate at Big Data scale is core to helping us deliver the best products to our customers."

Big Data Analytics at the Speed of Business
"Removing Hadoop's complexity will give any company a head start, but it's not enough," says Steven Hillion, co-founder and Chief Product Officer at Alpine Data Labs. "Once enterprises have identified the data they want to work with, they need to interrogate it without being encumbered by performance issues."

In this new release, the company unveils its Parallel Analytics Engine, a virtual layer that now executes all of Alpine Chorus' algorithms with multiple levels of parallelism. This includes the Workflow Graph Optimizer, which parses analytics workloads and deploys them in parallel to maximize the use of available resources; and the Polymorphic Data Service, which decides at run-time how to optimize queries for each type of data platform. These innovations, unique to Alpine Data Labs, represent the most efficient way to run sophisticated machine learning algorithms on a variety of distributed systems. They also made it possible for Alpine Chorus 4.0 to be the first Advanced Analytics platform to be certified on CDH5 and Spark, benchmarked running complex algorithms at up to a hundred times faster than previously possible.

"With Alpine Chorus 4.0 customers can work on important analytical issues at Big Data speed and keep the business engaged because of the solution's visual, powerful and collaborative approach," says Amr Awadallah, ‎Founder and CTO at Cloudera. "Alpine Chorus is a showcase for analytics innovation in the Big Data Era and we're excited that it features the power of Cloudera 5."

The Internet of People
"The key to analytical excellence is collaboration," says Dan Vesset, Vice President of IDC's Business Analytics research. "Collaboration often gets a bad name because it sounds too abstract. However, our research shows that effective cross-enterprise collaboration has a determinant role in helping Big Data projects succeed and return value. Alpine Data Labs is leading the way here."

The new features in Alpine Chorus 4.0 make the benefits of collaboration very tangible:

  • Data scientists can tap into the innovation of their business counterparts at every point in the analytics process through user-generated data: comments, tags, links and documents applied to models, workflows, datasets and sandboxes.
  • Business Analysts can easily and visually understand data science work through collaborative analytics workspaces, communicating and iterating in real-time, increasing the value and confidence of their analysis.
  • Data and IT engineers rely on Github-like version control features, job scheduling and data management capabilities and can operationalize Big Data Analytics in a secure and consistent manner.
  • Executives benefit from a platform that is innovative, open and secure because all interactions in Alpine Chorus are recorded and auditable.

Alpine Chorus 4.0 rests on key new technological breakthroughs:

1) Visualize Before You Analyze: Universal Search, Interactive Visualizations and Data Augmentation add a layer of understanding on top of any data.
2) Transform and Query Without Extraction: Alpine Chorus comprehensive library of transformation operators -- from simple filters, to variable, null-value replacement operators to pivot, multi-join and normalization functions -- are accessible via sql editor or visual, drag and drop icons. All of Alpine Chorus operators run in place and in parallel.
3) Manage Data In and Out of Hadoop: data can be sent to Hadoop for building Big Data Lakes and out of Hadoop to write the results of large-scale computation done on Big Data to operational systems.
4) Do Predictive Analytics Natively on Big Data: All of Alpine Chorus are written and optimized to execute in parallel, making analysis at Big Data speed a reality.
5) Work With the Latest Innovations: Embraces Data Science standards for real-time scoring (PMML), as well as supports and contributes to open source platform technologies (Spark, Sqoop, Madlib, MLlib, etc). First Advanced Analytics platform to be certified on Spark and Cloudera CDH 5.
6) Extend and Productionize Models: Alpine Chorus REST API available to run, and edit run user defined functions (UDFs) as part of an end-to-end analytic workflow.
7) Manage the Analytics Full-Life Cycle: Github-like Version Control (copy workflow, history capture, revert capability), Check-in, commenting, model review and tracking, Job Scheduling, Data management.

For more, try Alpine for free @ http://start.alpinenow.com

ABOUT ALPINE DATA LABS
Alpine Chorus is the world's first Enterprise Platform for Advanced Analytics on Big Data and Hadoop. With Alpine, data scientists and business analysts can work with large data sets, develop and collaborate on models at scale without having to use code or download software. Leaders in all industries, from Financial Services to Healthcare, use Alpine to outsmart their competition. Maybe you should too. Find out more at: www.alpinenow.com

Image Available: http://www2.marketwire.com/mw/frame_mw?attachid=2643012

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

Latest Stories
Blockchain is a shared, secure record of exchange that establishes trust, accountability and transparency across business networks. Supported by the Linux Foundation's open source, open-standards based Hyperledger Project, Blockchain has the potential to improve regulatory compliance, reduce cost as well as advance trade. Are you curious about how Blockchain is built for business? In her session at 21st Cloud Expo, René Bostic, Technical VP of the IBM Cloud Unit in North America, will discuss th...
The question before companies today is not whether to become intelligent, it’s a question of how and how fast. The key is to adopt and deploy an intelligent application strategy while simultaneously preparing to scale that intelligence. In her session at 21st Cloud Expo, Sangeeta Chakraborty, Chief Customer Officer at Ayasdi, will provide a tactical framework to become a truly intelligent enterprise, including how to identify the right applications for AI, how to build a Center of Excellence to ...
Recently, IoT seems emerging as a solution vehicle for data analytics on real-world scenarios from setting a room temperature setting to predicting a component failure of an aircraft. Compared with developing an application or deploying a cloud service, is an IoT solution unique? If so, how? How does a typical IoT solution architecture consist? And what are the essential components and how are they relevant to each other? How does the security play out? What are the best practices in formulating...
Given the popularity of the containers, further investment in the telco/cable industry is needed to transition existing VM-based solutions to containerized cloud native deployments. The networking architecture of the solution isolates the network traffic into different network planes (e.g., management, control, and media). This naturally makes support for multiple interfaces in container orchestration engines an indispensable requirement.
In his session at @ThingsExpo, Arvind Radhakrishnen discussed how IoT offers new business models in banking and financial services organizations with the capability to revolutionize products, payments, channels, business processes and asset management built on strong architectural foundation. The following topics were covered: How IoT stands to impact various business parameters including customer experience, cost and risk management within BFS organizations.
Internet of @ThingsExpo, taking place October 31 - November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with 21st Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The Internet of Things (IoT) is the most profound change in personal and enterprise IT since the creation of the Worldwide Web more than 20 years ago. All major researchers estimate there will be tens of billions devic...
While some vendors scramble to create and sell you a fancy solution for monitoring your spanking new Amazon Lambdas, hear how you can do it on the cheap using just built-in Java APIs yourself. By exploiting a little-known fact that Lambdas aren’t exactly single-threaded, you can effectively identify hot spots in your serverless code. In his session at @DevOpsSummit at 21st Cloud Expo, Dave Martin, Product owner at CA Technologies, will give a live demonstration and code walkthrough, showing how ...
As DevOps methodologies expand their reach across the enterprise, organizations face the daunting challenge of adapting related cloud strategies to ensure optimal alignment, from managing complexity to ensuring proper governance. How can culture, automation, legacy apps and even budget be reexamined to enable this ongoing shift within the modern software factory?
SYS-CON Events announced today that Elastifile will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 - Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Elastifile Cloud File System (ECFS) is software-defined data infrastructure designed for seamless and efficient management of dynamic workloads across heterogeneous environments. Elastifile provides the architecture needed to optimize your hybrid cloud environment, by facilitating efficient...
There is only one world-class Cloud event on earth, and that is Cloud Expo – which returns to Silicon Valley for the 21st Cloud Expo at the Santa Clara Convention Center, October 31 - November 2, 2017. Every Global 2000 enterprise in the world is now integrating cloud computing in some form into its IT development and operations. Midsize and small businesses are also migrating to the cloud in increasing numbers. Companies are each developing their unique mix of cloud technologies and service...
@DevOpsSummit at Cloud Expo taking place Oct 31 - Nov 2, 2017, at the Santa Clara Convention Center, Santa Clara, CA, is co-located with the 21st International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is ...
SYS-CON Events announced today that Golden Gate University will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Since 1901, non-profit Golden Gate University (GGU) has been helping adults achieve their professional goals by providing high quality, practice-based undergraduate and graduate educational programs in law, taxation, business and related professions. Many of its courses are taug...
DevOps at Cloud Expo, taking place October 31 - November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with 21st Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to w...
SYS-CON Events announced today that Grape Up will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct. 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Grape Up is a software company specializing in cloud native application development and professional services related to Cloud Foundry PaaS. With five expert teams that operate in various sectors of the market across the U.S. and Europe, Grape Up works with a variety of customers from emergi...
With Cloud Foundry you can easily deploy and use apps utilizing websocket technology, but not everybody realizes that scaling them out is not that trivial. In his session at 21st Cloud Expo, Roman Swoszowski, CTO and VP, Cloud Foundry Services, at Grape Up, will show you an example of how to deal with this issue. He will demonstrate a cloud-native Spring Boot app running in Cloud Foundry and communicating with clients over websocket protocol that can be easily scaled horizontally and coordinate...