Click here to close now.



Welcome!

Eclipse Authors: Liz McMillan, XebiaLabs Blog, Ken Fogel, Sematext Blog, Marcin Warpechowski

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.

@ThingsExpo Stories
Most people haven’t heard the word, “gamification,” even though they probably, and perhaps unwittingly, participate in it every day. Gamification is “the process of adding games or game-like elements to something (as a task) so as to encourage participation.” Further, gamification is about bringing game mechanics – rules, constructs, processes, and methods – into the real world in an effort to engage people. In his session at @ThingsExpo, Robert Endo, owner and engagement manager of Intrepid D...
With an estimated 50 billion devices connected to the Internet by 2020, several industries will begin to expand their capabilities for retaining end point data at the edge to better utilize the range of data types and sheer volume of M2M data generated by the Internet of Things. In his session at @ThingsExpo, Don DeLoach, CEO and President of Infobright, will discuss the infrastructures businesses will need to implement to handle this explosion of data by providing specific use cases for filte...
SYS-CON Events announced today that Fusion, a leading provider of cloud services, will exhibit at SYS-CON's 18th International Cloud Expo®, which will take place on June 7-9, 2016, at the Javits Center in New York City, NY. Fusion, a leading provider of integrated cloud solutions to small, medium and large businesses, is the industry's single source for the cloud. Fusion's advanced, proprietary cloud service platform enables the integration of leading edge solutions in the cloud, including clou...
SYS-CON Events announced today that Commvault, a global leader in enterprise data protection and information management, has been named “Bronze Sponsor” of SYS-CON's 18th International Cloud Expo, which will take place on June 7–9, 2016, at the Javits Center in New York City, NY, and the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. Commvault is a leading provider of data protection and information management...
SYS-CON Events announced today that Alert Logic, Inc., the leading provider of Security-as-a-Service solutions for the cloud, will exhibit at SYS-CON's 18th International Cloud Expo®, which will take place on June 7-9, 2016, at the Javits Center in New York City, NY. Alert Logic, Inc., provides Security-as-a-Service for on-premises, cloud, and hybrid infrastructures, delivering deep security insight and continuous protection for customers at a lower cost than traditional security solutions. Ful...
SYS-CON Events announced today that VAI, a leading ERP software provider, will exhibit at SYS-CON's 18th International Cloud Expo®, which will take place on June 7-9, 2016, at the Javits Center in New York City, NY. VAI (Vormittag Associates, Inc.) is a leading independent mid-market ERP software developer renowned for its flexible solutions and ability to automate critical business functions for the distribution, manufacturing, specialty retail and service sectors. An IBM Premier Business Part...
The cloud promises new levels of agility and cost-savings for Big Data, data warehousing and analytics. But it’s challenging to understand all the options – from IaaS and PaaS to newer services like HaaS (Hadoop as a Service) and BDaaS (Big Data as a Service). In her session at @BigDataExpo at @ThingsExpo, Hannah Smalltree, a director at Cazena, will provide an educational overview of emerging “as-a-service” options for Big Data in the cloud. This is critical background for IT and data profes...
Fortunately, meaningful and tangible business cases for IoT are plentiful in a broad array of industries and vertical markets. These range from simple warranty cost reduction for capital intensive assets, to minimizing downtime for vital business tools, to creating feedback loops improving product design, to improving and enhancing enterprise customer experiences. All of these business cases, which will be briefly explored in this session, hinge on cost effectively extracting relevant data from ...
As enterprises work to take advantage of Big Data technologies, they frequently become distracted by product-level decisions. In most new Big Data builds this approach is completely counter-productive: it presupposes tools that may not be a fit for development teams, forces IT to take on the burden of evaluating and maintaining unfamiliar technology, and represents a major up-front expense. In his session at @BigDataExpo at @ThingsExpo, Andrew Warfield, CTO and Co-Founder of Coho Data, will dis...
With the Apple Watch making its way onto wrists all over the world, it’s only a matter of time before it becomes a staple in the workplace. In fact, Forrester reported that 68 percent of technology and business decision-makers characterize wearables as a top priority for 2015. Recognizing their business value early on, FinancialForce.com was the first to bring ERP to wearables, helping streamline communication across front and back office functions. In his session at @ThingsExpo, Kevin Roberts...
SYS-CON Events announced today that Interoute, owner-operator of one of Europe's largest networks and a global cloud services platform, has been named “Bronze Sponsor” of SYS-CON's 18th Cloud Expo, which will take place on June 7-9, 2015 at the Javits Center in New York, New York. Interoute is the owner-operator of one of Europe's largest networks and a global cloud services platform which encompasses 12 data centers, 14 virtual data centers and 31 colocation centers, with connections to 195 ad...
Eighty percent of a data scientist’s time is spent gathering and cleaning up data, and 80% of all data is unstructured and almost never analyzed. Cognitive computing, in combination with Big Data, is changing the equation by creating data reservoirs and using natural language processing to enable analysis of unstructured data sources. This is impacting every aspect of the analytics profession from how data is mined (and by whom) to how it is delivered. This is not some futuristic vision: it's ha...
WebRTC has had a real tough three or four years, and so have those working with it. Only a few short years ago, the development world were excited about WebRTC and proclaiming how awesome it was. You might have played with the technology a couple of years ago, only to find the extra infrastructure requirements were painful to implement and poorly documented. This probably left a bitter taste in your mouth, especially when things went wrong.
Learn how IoT, cloud, social networks and last but not least, humans, can be integrated into a seamless integration of cooperative organisms both cybernetic and biological. This has been enabled by recent advances in IoT device capabilities, messaging frameworks, presence and collaboration services, where devices can share information and make independent and human assisted decisions based upon social status from other entities. In his session at @ThingsExpo, Michael Heydt, founder of Seamless...
The IoT's basic concept of collecting data from as many sources possible to drive better decision making, create process innovation and realize additional revenue has been in use at large enterprises with deep pockets for decades. So what has changed? In his session at @ThingsExpo, Prasanna Sivaramakrishnan, Solutions Architect at Red Hat, discussed the impact commodity hardware, ubiquitous connectivity, and innovations in open source software are having on the connected universe of people, thi...
WebRTC: together these advances have created a perfect storm of technologies that are disrupting and transforming classic communications models and ecosystems. In his session at WebRTC Summit, Cary Bran, VP of Innovation and New Ventures at Plantronics and PLT Labs, provided an overview of this technological shift, including associated business and consumer communications impacts, and opportunities it may enable, complement or entirely transform.
There are so many tools and techniques for data analytics that even for a data scientist the choices, possible systems, and even the types of data can be daunting. In his session at @ThingsExpo, Chris Harrold, Global CTO for Big Data Solutions for EMC Corporation, showed how to perform a simple, but meaningful analysis of social sentiment data using freely available tools that take only minutes to download and install. Participants received the download information, scripts, and complete end-t...
For manufacturers, the Internet of Things (IoT) represents a jumping-off point for innovation, jobs, and revenue creation. But to adequately seize the opportunity, manufacturers must design devices that are interconnected, can continually sense their environment and process huge amounts of data. As a first step, manufacturers must embrace a new product development ecosystem in order to support these products.
Manufacturing connected IoT versions of traditional products requires more than multiple deep technology skills. It also requires a shift in mindset, to realize that connected, sensor-enabled “things” act more like services than what we usually think of as products. In his session at @ThingsExpo, David Friedman, CEO and co-founder of Ayla Networks, discussed how when sensors start generating detailed real-world data about products and how they’re being used, smart manufacturers can use the dat...
When it comes to IoT in the enterprise, namely the commercial building and hospitality markets, a benefit not getting the attention it deserves is energy efficiency, and IoT’s direct impact on a cleaner, greener environment when installed in smart buildings. Until now clean technology was offered piecemeal and led with point solutions that require significant systems integration to orchestrate and deploy. There didn't exist a 'top down' approach that can manage and monitor the way a Smart Buildi...