Welcome!

Apache Authors: William Schmarzo, Christopher Harrold, Elizabeth White, Talend Inc., Adrian Bridgwater

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
CenturyLink has announced that application server solutions from GENBAND are now available as part of CenturyLink’s Networx contracts. The General Services Administration (GSA)’s Networx program includes the largest telecommunications contract vehicles ever awarded by the federal government. CenturyLink recently secured an extension through spring 2020 of its offerings available to federal government agencies via GSA’s Networx Universal and Enterprise contracts. GENBAND’s EXPERiUS™ Application...
Basho Technologies has announced the latest release of Basho Riak TS, version 1.3. Riak TS is an enterprise-grade NoSQL database optimized for Internet of Things (IoT). The open source version enables developers to download the software for free and use it in production as well as make contributions to the code and develop applications around Riak TS. Enhancements to Riak TS make it quick, easy and cost-effective to spin up an instance to test new ideas and build IoT applications. In addition to...
In addition to all the benefits, IoT is also bringing new kind of customer experience challenges - cars that unlock themselves, thermostats turning houses into saunas and baby video monitors broadcasting over the internet. This list can only increase because while IoT services should be intuitive and simple to use, the delivery ecosystem is a myriad of potential problems as IoT explodes complexity. So finding a performance issue is like finding the proverbial needle in the haystack.
"We work in the area of Big Data analytics and Big Data analytics is a very crowded space - you have Hadoop, ETL, warehousing, visualization and there's a lot of effort trying to get these tools to talk to each other," explained Mukund Deshpande, head of the Analytics practice at Accelerite, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
When people aren’t talking about VMs and containers, they’re talking about serverless architecture. Serverless is about no maintenance. It means you are not worried about low-level infrastructural and operational details. An event-driven serverless platform is a great use case for IoT. In his session at @ThingsExpo, Animesh Singh, an STSM and Lead for IBM Cloud Platform and Infrastructure, will detail how to build a distributed serverless, polyglot, microservices framework using open source tec...
SYS-CON Events has announced today that Roger Strukhoff has been named conference chair of Cloud Expo and @ThingsExpo 2016 Silicon Valley. The 19th Cloud Expo and 6th @ThingsExpo will take place on November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. "The Internet of Things brings trillions of dollars of opportunity to developers and enterprise IT, no matter how you measure it," stated Roger Strukhoff. "More importantly, it leverages the power of devices and the Interne...
Internet of @ThingsExpo has announced today that Chris Matthieu has been named tech chair of Internet of @ThingsExpo 2016 Silicon Valley. The 6thInternet of @ThingsExpo will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
Presidio has received the 2015 EMC Partner Services Quality Award from EMC Corporation for achieving outstanding service excellence and customer satisfaction as measured by the EMC Partner Services Quality (PSQ) program. Presidio was also honored as the 2015 EMC Americas Marketing Excellence Partner of the Year and 2015 Mid-Market East Partner of the Year. The EMC PSQ program is a project-specific survey program designed for partners with Service Partner designations to solicit customer feedbac...
Apixio Inc. has raised $19.3 million in Series D venture capital funding led by SSM Partners with participation from First Analysis, Bain Capital Ventures and Apixio’s largest angel investor. Apixio will dedicate the proceeds toward advancing and scaling products powered by its cognitive computing platform, further enabling insights for optimal patient care. The Series D funding comes as Apixio experiences strong momentum and increasing demand for its HCC Profiler solution, which mines unstruc...
The IoT is changing the way enterprises conduct business. In his session at @ThingsExpo, Eric Hoffman, Vice President at EastBanc Technologies, discussed how businesses can gain an edge over competitors by empowering consumers to take control through IoT. He cited examples such as a Washington, D.C.-based sports club that leveraged IoT and the cloud to develop a comprehensive booking system. He also highlighted how IoT can revitalize and restore outdated business models, making them profitable ...
IoT offers a value of almost $4 trillion to the manufacturing industry through platforms that can improve margins, optimize operations & drive high performance work teams. By using IoT technologies as a foundation, manufacturing customers are integrating worker safety with manufacturing systems, driving deep collaboration and utilizing analytics to exponentially increased per-unit margins. However, as Benoit Lheureux, the VP for Research at Gartner points out, “IoT project implementers often ...
"delaPlex is a software development company. We do team-based outsourcing development," explained Mark Rivers, COO and Co-founder of delaPlex Software, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
In his general session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed cloud as a ‘better data center’ and how it adds new capacity (faster) and improves application availability (redundancy). The cloud is a ‘Dynamic Tool for Dynamic Apps’ and resource allocation is an integral part of your application architecture, so use only the resources you need and allocate /de-allocate resources on the fly.
Connected devices and the industrial internet are growing exponentially every year with Cisco expecting 50 billion devices to be in operation by 2020. In this period of growth, location-based insights are becoming invaluable to many businesses as they adopt new connected technologies. Knowing when and where these devices connect from is critical for a number of scenarios in supply chain management, disaster management, emergency response, M2M, location marketing and more. In his session at @Th...
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to imp...
The idea of comparing data in motion (at the sensor level) to data at rest (in a Big Data server warehouse) with predictive analytics in the cloud is very appealing to the industrial IoT sector. The problem Big Data vendors have, however, is access to that data in motion at the sensor location. In his session at @ThingsExpo, Scott Allen, CMO of FreeWave, discussed how as IoT is increasingly adopted by industrial markets, there is going to be an increased demand for sensor data from the outermos...
In his keynote at 18th Cloud Expo, Andrew Keys, Co-Founder of ConsenSys Enterprise, provided an overview of the evolution of the Internet and the Database and the future of their combination – the Blockchain. Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life sett...
IoT is rapidly changing the way enterprises are using data to improve business decision-making. In order to derive business value, organizations must unlock insights from the data gathered and then act on these. In their session at @ThingsExpo, Eric Hoffman, Vice President at EastBanc Technologies, and Peter Shashkin, Head of Development Department at EastBanc Technologies, discussed how one organization leveraged IoT, cloud technology and data analysis to improve customer experiences and effi...
There are several IoTs: the Industrial Internet, Consumer Wearables, Wearables and Healthcare, Supply Chains, and the movement toward Smart Grids, Cities, Regions, and Nations. There are competing communications standards every step of the way, a bewildering array of sensors and devices, and an entire world of competing data analytics platforms. To some this appears to be chaos. In this power panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, Bradley Holt, Developer Advocate a...
A strange thing is happening along the way to the Internet of Things, namely far too many devices to work with and manage. It has become clear that we'll need much higher efficiency user experiences that can allow us to more easily and scalably work with the thousands of devices that will soon be in each of our lives. Enter the conversational interface revolution, combining bots we can literally talk with, gesture to, and even direct with our thoughts, with embedded artificial intelligence, wh...