Accelerating Growth through Big Data and Analytics

•

0 recomendaciones•195 vistas

Register at http://lf1.me/dU/ Impetus webinar on ‘Accelerating Growth through Big Data and Analytics ‘ Date: Dec 6 (10 am PT / 1 pm ET)

Tecnología

I N N O V A T I O N A R C H I T E C T E D
Webinar: Accelerating Growth through Big Data and Analytics
Date: December 6‚ 2012 (10:00 am PT/ 1:00pm ET)
Duration: 40 mins
Hi Shubhi Choudhary,
Are you looking to accelerate growth? Looking to leverage Big Data?
Join us to learn more about how Luminar (a unit of Entravision Communications) enables businesses to
drive growth in Hispanic markets through faster and more insightful data analytics.
Impetus and Luminar will share lessons on how to leverage a Big Data environment for new insights and
growth.
Speakers-
Franklin Rios
President- Luminar
an Entravision Company
Oscar Padilla
VP of Strategy- Luminar
an Entravision Company
Anand Venugopal
Director- Big Data Services
Impetus Technologies
Register Here Share this webinar

Más contenido relacionado

Más de Impetus Technologies

Future-Proof Your Streaming Analytics Architecture- StreamAnalytix Webinar

Impetus Technologies

Building Real-time Streaming Apps in Minutes- Impetus Webinar

Impetus Technologies

Smart Enterprise Big Data Bus for the Modern Responsive Enterprise- StreamAna...

Impetus Technologies

Impetus White Paper- Handling Data Corruption in Elasticsearch

Impetus Technologies

Real-world Applications of Streaming Analytics- StreamAnalytix Webinar

Impetus Technologies

Real-world Applications of Streaming Analytics- StreamAnalytix Webinar

Impetus Technologies

Real-time Streaming Analytics for Enterprises based on Apache Storm - Impetus...

Impetus Technologies

Accelerating Hadoop Solution Lifecycle and Improving ROI- Impetus On-demand W...

Impetus Technologies

Presentation on 'Deep Learning: Evolution of ML from Statistical to Brain-like Computing' Speaker- Dr. Vijay Srinivas Agneeswaran,Director, Big Data Labs, Impetus The main objective of the presentation is to give an overview of our cutting edge work on realizing distributed deep learning networks over GraphLab. The objectives can be summarized as below: - First-hand experience and insights into implementation of distributed deep learning networks. - Thorough view of GraphLab (including descriptions of code) and the extensions required to implement these networks. - Details of how the extensions were realized/implemented in GraphLab source – they have been submitted to the community for evaluation. - Arrhythmia detection use case as an application of the large scale distributed deep learning network.

Deep Learning: Evolution of ML from Statistical to Brain-like Computing- Data...

Impetus Technologies

SPARK SUMMIT SESSION - A majority of the electricity in the U.S. is traded in independent system operator (ISO) based wholesale markets. ISO-based markets typically function in a two-step settlement process with day-ahead (DA) financial settlements followed by physical real-time (spot) market settlements for electricity. In this work, we focus on obtaining equilibrium bidding strategies for electricity generators in DA markets. Electricity prices in DA markets are determined by the ISO, which matches competing supply offers from power generators with demand bids from load serving entities. Since there are multiple generators competing with one another to supply power, this can be modeled as a competitive Markov decision problem, which we solve using a reinforcement learning approach. For power networks of realistic sizes, the state-action space could explode, making the RL procedure computationally intensive. This has motivated us to solve the above problem over Spark. The talk provides the following takeaways: 1. Modeling the day-ahead market as a Markov decision process 2. Code sketches to show the markov decision process solution over Spark and Mahout over Apache Tez 3. Performance results comparing Mahout over Apache Tez and Spark.

SPARK USE CASE- Distributed Reinforcement Learning for Electricity Market Bi...

Impetus Technologies

Enterprise Ready Android and Manageability- Impetus Webcast

Impetus Technologies

Impetus webcast ‘Real-time Streaming Analytics: Business Value, Use Cases and Architectural Considerations’ available at http://bit.ly/1i6OrwR The webinar talks about- • How business value is preserved and enhanced using Real-time Streaming Analytics with numerous use-cases in different industry verticals • Technical considerations for IT leaders and implementation teams looking to integrate Real-time Streaming Analytics into enterprise architecture roadmap • Recommendations for making Real-time Streaming Analytics – real – in your enterprise • Impetus StreamAnalytix – an enterprise ready platform for Real-time Streaming Analytics

Real-time Streaming Analytics: Business Value, Use Cases and Architectural Co...

Impetus Technologies

Impetus webcast "Leveraging NoSQL Database Technology to Implement Real-time Data Architectures” available at http://bit.ly/1g6Eaj4 This webcast: • Presents trade-offs of using different approaches to achieve a real-time architecture • Closely examines an implementation of a NoSQL based real-time architecture • Shares specific capabilities offered by NoSQL Databases that enable cost and reliability advantages over other techniques

Leveraging NoSQL Database Technology to Implement Real-time Data Architecture...

Impetus Technologies

Maturity of Mobile Test Automation: Approaches and Future Trends- Impetus Web...

Impetus Technologies

Big Data Analytics with Storm, Spark and GraphLab

Impetus Technologies

Webinar maturity of mobile test automation- approaches and future trends

Impetus Technologies

Next generation analytics with yarn, spark and graph lab

Impetus Technologies

For Impetus’ White Papers archive, visit- http://lf1.me/drb/ This white paper talks about the design considerations for enterprises to run Hadoop as a shared service for multiple departments. As Hadoop becomes more mainstream and indispensable to enterprises, it is imperative that they build, operate and scale shared Hadoop clusters. The design considerations discussed in this paper will help enterprises accomplish the essential mission of running multi-tenant, multi-use Hadoop clusters at scale. The white paper talks about Identity, Security, Resource Sharing, Monitoring and Operations on the Central Service. For Impetus’ White Papers archive, visit- http://lf1.me/drb/

The Shared Elephant - Hadoop as a Shared Service for Multiple Departments – I...

Impetus Technologies

Performance Testing of Big Data Applications - Impetus Webcast

Impetus Technologies

Impetus webcast "Real-time Predictive Analytics in Manufacturing" available at http://lf1.me/hqb/ This Impetus webcast talks about: • The business value of predictive analytics • How real-time analytics is enabling ‘intelligent-data’ driven manufacturing • A Reference Architecture and real world examples based on the experiences of Impetus Big Data architects • A step-by-step guide for successfully implementing a predictive analytics solution

Real-time Predictive Analytics in Manufacturing - Impetus Webinar

Impetus Technologies

Más de Impetus Technologies (20)