Apache Spark Streaming Innovation Contest Launche by Impetus Technologies

Impetus Technologies, a big data software products and services company, today announced the Apache Spark Streaming Innovation Contest. Participating teams will compete to build a real-world streaming data application on the StreamAnalytix™ platform. A visual development platform to build real-time machine learning and stream processing applications, StreamAnalytix dramatically reduces the time and effort it takes to develop and deploy Apache Spark Streaming based data processing and analytics applications. An experienced Spark developer at a large cable and telecom company recently endorsed StreamAnalytix for expediting the time it takes to build a Spark application from six weeks to less than two days.

The contest will be open for registration on Feb. 8, 2017, and submissions can be made until March 31, 2017. The grand prize winner will receive $10,000, the second and third place winners will receive $5,000 and $3,000, respectively. A special student winner will be awarded $2,000, bringing the total awarded prize money to $20,000.

Contestants will be given access to a cloud-based workspace with the latest version of StreamAnalytix, which includes support for Apache Spark Streaming. They will be provided with a dataset and presented with an analytical problem to be solved by building a Apache Spark Streaming application. Experts from the StreamAnalytix team will be available for assistance via a support forum and by email. Ideally, competing teams should have skills in both Spark development and data science.

A panel of experts, including the StreamAnalytix product team, architects and engineers, will evaluate submissions based on the scoring criteria available on the contest homepage. The winners will be announced on April 18, 2017.

Details on the Spark Streaming Innovation Contest are as follows:

Registration opens: Wednesday, Feb. 8. Contestants can register and view contest instructions and see the problem statement at https://www.streamanalytix.com/contest.

StreamAnalytix community forum: The forum will be live at https://forum.streamanalytix.com, allowing contestants to engage in contest- and product- related conversations.

Registration and contest closes: Friday, March 31 at 2 p.m. PT.

Submission: The contest and all support resources will be available through March 31 and contestants can make submissions anytime in this duration.

Prizes: First place will receive $10,000, second place: $5,000 and third place: $3,000. A student winner will also be awarded $2,000. Instructions for receiving the cash prize will be sent to the winners by email.

"The StreamAnalytix team is passionate about providing the Apache Spark Streaming developer and data science community with the tools they need to make their work both easy and quick, giving them more time for analytics and reducing their coding burden to near zero," said Anand Venugopal, head of product for StreamAnalytix at Impetus Technologies. "We believe contest participants will have a fulfilling experience, having solved a real-world data analytics problem using Spark - and in the process, they'll discover the power and ease of the StreamAnalytix platform for building more real-time Spark Streaming applications."

For more information and updates on the contest, visit: https://www.streamanalytix.com/contest or stop by the Impetus Technologies booth, number 309, at the Spark Summit East conference in Boston, Feb. 8-9, 2017, or follow @StreamAnalytix and look for the hashtag #SparkStreamingContest.

Free Versions Streaming Analytics Platform offers By Impetus Technologies

 Several versions of StreamAnalytix, offered by Impetus Technologies, are currently offered without charge, permitting enterprises to tap into a Streaming Analytics Platform supported a spread of leading open source technology parts.

“The role we are playing within the marketplace initial of all is: we are creating open source analytics rather more expendable by the enterprise,” said Anand Venugopal, head of product for StreamAnalytix at Impetus Technologies.

StreamAnalytix, launched earlier this year, is built on an Open Source Analytics stack together with Apache Storm, Kafka, Hadoop. The answer embeds a fancy event-processing engine for activity Real Time Analytics on streaming Data.

The platform works with all leading Hadoop distributions and endows enterprises with the ductility to simply integrate with any Data Source, message queue and target Data store of selection. It additionally permits passing on data and event triggers to alternative enterprise applications supported business rules applied over streaming Data.

Three free versions of the platform, StreamAnalytix Lite, StreamAnalytix Developer and StreamAnalytix Sandbox, are going to be offered indefinitely and meet specific wants of its user.

“It is a indeedcompelling worth,” Venugopal said. “I am excited concerning what we are giving and what is turning out in terms of support for Spark a number of months down the line.”

StreamAnalytix Lite is good ideal for developers looking to ingest Streaming Data Analytics into Hadoop and use a strong visual toolkit for developing real time analytics applications supported Apache Storm and deploying at scale.

StreamAnalytix Developer is designed to provide maximum power and adaptability for developers to make real-life and sophisticated enterprise applications and perform purposeful testing before increasing to a full scale deployment.

And StreamAnalytix Sandbox provides developers with the quickest pathway to experiencing the ability of the StreamAnalytix platform to make and check real streaming applications with Apache Storm.

The free versions of StreamAnalytix will unleash the ability of a graphical user interface (GUI)-based speedy application development and deployment platform to a wider audience of Streaming Data Analytics developers to achieve expertise, conduct pilots and take a wide range of applications into production.

“It is a powerful way to get best-known, giving one thing valuable for no price.” Venugopal said. “This platform will allow you to build application free of the underlying streaming engine. Once we get in we are able to not be obsolete. there's no risk of devolution.”

For more information about StreamAnalytix, visit : www.streamanalytix.com/download

Real Time Analytics the Best Big Data Product

The emergence of the Internet of Things (IoT) and the exponential growth of potentially valuable but elusive data is now a well-known phenomenon. Constant data emission by sensors, machines, vehicles, mobile phones, social media networks, and other real-time analytics sources are compelling organizations to rethink their data and analytics strategy beyond batch-processing. They are increasingly aware of the need to have access to the latest information to gain a competitive advantage.

As a result, enterprises are moving to add real-time analytics engines or platforms to their Big Data architecture stack. To do that, they have two sub-optimal options - expensive, proprietary, commercial products or they can "Do-it-yourself" using raw Open Source. Enterprises now have a third more favorable option for real-time analytics streaming data application development - StreamAnalytix.

StreamAnalytix is a platform that offers the best of both worlds by leveraging the strengths and alleviating the weaknesses of each.

Open source community is riding a wave of cutting edge innovation, however, building solutions using open source from scratch may be expensive and time-consuming. StreamAnalytix eliminates the problems of working with native open source and provides a platform powered by open source engines with enterprise-grade features, flexibility, extensibility, ease-of-use, and full enterprise class support.

StreamAnalytix rides right on the top of any standard Hadoop stack and also works well with other NoSQL options like Apache Cassandra and Oracle NoSQL DB. Other choices for persistence and indexing can be easily integrated. For more information please visit us at : www.streamanalytix.com

Showcase Analytics Offering for Apache Storm at Strata + Hadoop World

A Big Data thought leader, software system services and solutions company, these days declared it is participation as a sponsor and promoter at the Strata + Hadoop World 2014 in New York throughout Oct 15-17, 2014.

Strata + Hadoop World is currently the biggest convention of it is variant within the world, where Big Data’s most powerful business call manufacturers, strategists, architects, developers, and analysts collect to form the long run of their businesses and technologies.

At the event, Anand Venugopal, Sr. Director of Big Data Analytics at Impetus will deliver a Solutions Showcase Theater speak on ‘High Precision, High Throughput, Real Time Classification and Sentiment Analysis of Multi-lingual Content mistreatment Advanced Analytics on Apache Storm. The speak will gift a case of StreamAnalytix, associate degree enterprise category period streaming analytics platform supported Apache Storm, that was employed by a medium client in a very lawful intercept use case. The session also will share the challenges, accomplishments, and design of this case study.

Impetus has expertise and experience in finding enterprise business challenges for Fortune one thousand enterprises across multiple verticals together with money services, healthcare, digital media, travel and recreation, producing, telecom, and retail. It helps customers effectively manage the “3-Vs” of Big Data and make new business insights across their enterprises.

For more information please visit us at : www.streamanalytix.com/apache-storm-development

Real Time Streaming Data Analytics with Data Science

Are you wanting to extract business price in real time from Data in motion? Data analytics forms a vital a part of real time Streaming Data Analytics that permits for the gathering, integration, analysis and visualization of data in real time.

This White : www.streamanalytix.com/collateral?file=WP-S-Ax-Data-Science-for-RTSA

explores completely different data science models and strategies for Streaming Data Analytics.

Highlights:

Types of data analytics
Batch vs. streaming Data analytics
How to extract insights from Data in motion
Offline vs. online modeling
Challenges posed by streaming data analytics

Source: www.streamanalytix.com/collateral?file=WP-S-Ax-Data-Science-for-RTSA

Big Data Streaming Analytics Platform – Real Time Analytics

Analytic platforms that produce insights from data in real time analytics are mature sufficient for enterprises to begin siphoning them, Forrester says in it is latest report. While open source analytics merchandise like Apache Storm are proving standard, Forrester says they lack key functionality found in the offerings of proprietary vendors, such as top-rated Software AG.

You don not requirement a Forrester analyst to recognize that Streaming Analytics Platform is red hot at the instant. If Hadoop has opened our eyes to what is possible with big data, then the stimulation around real time analytics is all concerning compressing and fast what vendors decision “time to insight.”

Adoption of real time analytics platforms has soared as enterprises begin get a style of what they can do. In just the past 2 years, Forrester has detected a 66% rise in firms’ use of streaming analytics, based on the group’s 2014 Business Technographics survey of nearly 750 decision Makers.

It is all about acting on what Forrester calls “perishable insight,” which is information that corporations can “only observe and act upon at a moment’s notice.” Streaming analytics are simply concerning the only game in city for harnessing the “white-water flow” of biodegradable insights originating from the net of Things, mobile phones, market data, sensors, Web clickstream, and transactions, the firm says.

Enterprises are totally aware of the requirement for Streaming Analytics Platform. The big question is what platform design resonate best, and what products will advantage market share the fastest. Those are the varieties of queries where a Forrester analyst infests in quite handy.

The problem with real time Streaming Analytics Platform is that they do not fit the categories of analytic applications that enterprises are used to. Developers are still familiarizing themselves with the streaming operators that are used in real tim analytic systems. There are a handful of operator types–such as filters, aggregators, correlators, and locators, as well as time-window operators, temporal operators, enrichment operators, and various custom and third-party operators–and developers usually should assemble them in such a means to urge the specified result.

Forrester Wave Streaming

Forrester Wave for Big Data Streaming Analytics Platforms, Q3 2014

Forrester ranked simply a handful of streaming analytic merchandise in its latest Wave, which favored larger, more established vendors whose merchandise have well-tried themselves across multiple industries.

The need to have Streaming Analytic Platform operators eliminated open supply favorite Apache Storm from inclusion in Forrester’s report. Despite the fact that the Hadoop-compatible add-on has seen many high-profile deployments at huge outfits just like the Weather Channel, Spotify, and Twitter (which released Storm into open source), Storm has it is downsides, Forrester says, namely that it is “a terribly technical platform that lacks the higher order tools and streaming operators that are provided by the seller platforms.”

And while Apache Spark was not especially mentioned by Forrester, one can imagine that its Spark Streaming Analytics Platform could lack some of industry-proven credentials that enterprises wish to see before throwing their weight behind a product. There is also the truth that Spark Streaming Analytics isn't truly a real time analytics streaming within the technical sense of the term, but a lot of of a “micro batch” framework.

For More Information please visit us at : www.streamanalytix.com