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deepsense.io to feature Seahorse Community Edition on the Trusted Analytics Platform developed by Intel 2015.09.30

New York, NY, USA - September 29, 2015 - deepsense.io, the creators of Seahorse Community Edition (CE), today announced plans to use the Trusted Analytics Platform (TAP), a powerful tool for creating code-free Spark applications developed by Intel. Seahorse CE is an open-source tool created by deepsense.io, it will be featured as an application in the Data Scientist's Developer Kit available with TAP. Seahorse's compelling value proposition is that it quickly and easily allows the user to take advantage of high throughput capabilities with stream data processing and very fast analytics by creating Spark applications without writing a single line of code. It consists of Seahorse Editor (an intuitive and reliable web GUI), Workflow Executor (our open-source application launcher) and an expressive workflow file format that enables the user to easily export workflows from the Seahorse Editor and execute them as applications in their Spark cluster. The first Seahorse CE release has just been launched during the Strata+Hadoop World Conference in New York.

Datacenter Day
Ron Kasabian, general manager of Intel's Big Data Solutions, discusses the company's strategy to unlock the intelligence in big data.
Photo courtesy of Intel
 

New York, NY, USA – September 29, 2015

• Trusted Analytics Platform cloud software stack with deepsense.io's Seahorse CE full integration among the big data analytics applications

deepsense.io, the creators of Seahorse Community Edition (CE), today announced plans to use the Trusted Analytics Platform (TAP), a powerful tool for creating code-free Spark applications developed by Intel.

 
 
Seahorse CE is an open-source tool created by deepsense.io, it will be featured as an application in the Data Scientist's Developer Kit available with TAP.

Seahorse's compelling value proposition is that it quickly and easily allows the user to take advantage of high throughput capabilities with stream data processing and very fast analytics by creating Spark applications without writing a single line of code.

Seahorse CE overview
Photo courtesy of deepsense.io
 
It consists of Seahorse Editor (an intuitive and reliable web GUI), Workflow Executor (our open-source application launcher) and an expressive workflow file format that enables the user to easily export workflows from the Seahorse Editor and execute them as applications in their Spark cluster.

The first Seahorse CE release has just been launched during the Strata+Hadoop World Conference in New York.

Tomasz Kulakowski, CEO at deepsense.io.
Photo courtesy of CodiLime
 
“Using the Trusted Analytics Platform (TAP) Seahorse's users can benefit from our open source technology, documentation and support in conjunction with Intel's cloud infrastructure as part of TAP's ecosystem”,
said Tomasz Kulakowski, CEO at deepsense.io.
“Our custom Spark analytics tool will provide the data science community with improved model building experiences, visualization and predictions helping to overcome the challenges of big data and drive insights.”

Datacenter Day
Ron Kasabian, general manager of Intel's Big Data Solutions, discusses the company's strategy to unlock the intelligence in big data.
Photo courtesy of Intel
 
“The Trusted Analytics Platform (TAP) project is focused on enabling enterprises to accelerate the creation of cloud-native applications driven by Big Data Analytics,”
said Ron Kasabian, VP and GM of Big Data Solutions at Intel.
“With the integration of Seahorse Community Edition with TAP, data scientists will have the capability to design, train and easily deploy sophisticated ML models to production using a web-based code-free interface.”

Seahorse Editor 
Photo courtesy of deepsense.io
 
For enterprises that want to create custom solutions using Big Data Analytics and CSPs that aspire to offer Big Data Analytics services, Trusted Analytics Platform (TAP) is an open source software project that lowers cost of development and reduces time to market.
It was created to be highly user-friendly with a minimum of development effort required, so that a client can plug in new tools from a variety of sources that can then be accessed by collaborators within one platform.


TAP streamlines the process of assembling Big Data tools and automates the many steps required to build Big Data applications and publish them.

Through open source contribution and collaboration on TAP, Intel aims to alleviate the burdens of data scientists and better serve them by connecting the entire community of developers and data scientists who are solving the same problems.

To learn more about Seahorse CE visit the product page:

http://deepsense.io/products/seahorse-community-edition/  

To learn more about the Trusted Analytics Platform (TAP) project:

http://trustedanalytics.org/  


About deepsense.io

Ex Google, Facebook and Microsoft software engineers and data scientists, who have built a successful software company in the US and Poland.

 
 
deepsense.io is a pure Apache Spark company founded by CodiLime, a successful software engineering firm established in California and Poland.

 
 
deepsense.io
co-operates with enterprises around the globe in such industries as telecommunications, financial services, healthcare, retail and many others. deepsense.io has many exciting individuals onboard.

The team consists of winners of global IT contests such as Google Code Jam, TopCoder, Facebook Hacker Cup and ACM ICPC.

The R&D deep learning team repeatedly wins top positions on kaggle.com.

All these professionals have galvanized around the company’s mission, which is to make Data Scientists and Spark users’ lives easier.

Currently building a scalable data analytics product called Seahorse – an agile and comprehensive end-to-end platform built on Apache Spark for Big Data analysis that provides data scientists the capabilities to design, edit and execute Spark applications using a web-based code-free interface.

Seahorse’s competitive advantage is that it is quick and easy to use, is available on-premises and can process unlimited datasets.


deepsense.io Media Contact:

Lukas Jaglowski
Communications Manager
T: +1 650 646 8126
E: lukas@deepsense.io  


Where to meet us:

Strata+Hadoop World
Visit our booth #231
Sept 29 - Oct 1, 2015, New York, USA

Strata+Hadoop World
Join our session (room 1 E15):
Apache Spark as a code-free data science workbench
Oct 1, 2015, New York, USA

Spark Summit Europe 2015
Meet us at our booth!
Oct 27-29, 2015, Amsterdam, Holland


Trainings & webinars:

Spark & Machine Learning workshops
Oct 3-4, 2015, New York, USA

Spark & Machine Learning workshops
Oct 5-6, 2015, New York, USA

Spark & Machine Learning workshops
Nov 26-27, 2015, London, England

Spark & Machine Learning workshops
Nov 28-29, 2015, London, England


deepsense.io, deepsense.io’s Seahorse Community Edition, deepsense.io's Seahorse, are trademarks or registered trademarks of CodiLime, Inc. in the United States, and in jurisdictions throughout the world.

Intel is a trademark of Intel Corporation in the U.S. and/or other countries.

All other company and product names may be trade names or trademarks of their respective owners.


Source: deepsense.io

http://deepsense.io/  



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ASTROMAN Magazine - 2014.05.20

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Editor-in-Chief of ASTROMAN magazine: Roman Wojtala, PhD.


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