Education

IEEE Big Data Podcasts - We bring the specialists to you! Through our Q&A podcast series, IEEE Future Directions interviews some of the top subject matter experts in the big data field. Covering everything from privacy and security to biomedical and analytics, IEEE Big Data Podcasts provide you with access to the industry's best of the best.


Big Data Applications in Smart Grids: Benefits and Challenges

Presented by: Mladen Kezunovic, Regents Professor, Director Smart Grid Center - Texas A&M University
April 13th, 2017
1-2 PM Eastern Time (U.S.)

The issue of Big Data (BD) was introduced relatively recently as the enormous amounts of data became available through the space exploration, weather forecasting and medical biogenetic investigations. Social media and outlets such as Google, YouTube, Facebook and others have also faced similar problems of handling huge data sets.

The focus of this webinar is on different BD sources in the utility industry that range from field measurements obtained by substation/feeder intelligent electronic devices, to specialized commercial and/or government/state databases: weather data of different types, lightning detection data, seismic data, fire detection data, electricity market data, vegetation and soil data, etc.

Due to the massive amount of such data (terabytes) available in real time, and through historical records, processing and management of such data requires revisiting data analytics used in the BD industries such as banking, insurance and health care. This webinar will point out the BD characteristics in the power industry where the temporal and spatial properties, as well as correlation to the power system and component models are necessary for an efficient data uses.

Register today through the IEEE Smart Grid Initiative portal!

 

Information Technology and Communications in Health (ITCH 2017)
Workshop on Big Data Analytics Education held in conjunction with ITCH 2017

16-19 February 2017 | Victoria, BC, Canada

An international conference addressing Information Technology and Communications in Health (ITCH)

Health information technologies are revolutionizing and streamlining healthcare and their uptake is rising dramatically. The variety and range of systems and applications is considerable and there is increasing demand for implementation of healthcare IT in hospitals, clinics, homes and in the virtual space of mHealth, pervasive healthcare and social media. However, to effectively implement these technologies scientific, research, industrial and governmental supports must be strongly in place in order to transform healthcare and build capacity at the regional, national and global levels.

The conference will take a multi-perspective view about what is needed in order to move technology along to real sustained and widespread use. Solutions range from improvements in usability and training, to need for new and improved design of information systems, user interfaces and interoperable solutions, to governmental policy, mandates, initiatives and need for regulation. In addition, greater interaction will be needed among industrial, governmental and academic partners.

This conference is presented by the School of Health Information Science.

Visit for more information!

 

Health 2.0 Asia 2016 International Summit on Smarter Healthcare & Great Health Industry

Keynote Speaker: Alex Kuo, Ph.D., School of Health Information Science, University of Victoria, BC, Canada, IEEE Big Data Initiatives (Chair, Education Track)

Health 2.0 Asia 2016 International Summit on Smarter Healthcare & Great Health Industry (see http://www.bitcongress.com/health2016/) was held in Nanjing, China for 2 full days (November 9-10, 2016) of content exploring smarter healthcare & great health industry. The conference brought together industry leaders, stakeholders and innovators from all over the world in an effort to support the rapidly-expanding healthcare market. The event was the platform to see cutting-edge innovation that’s currently transforming health and health care, plus the best minds sharing their insights on compelling panel discussions, keynotes, breakout sessions, and workshops.

Conference Highlights:

  • High-level Presentations Covering Unique and Hot Topics in the Healthcare Industry
  • Project Matchmaking Fair on Bio-medicine, Health Industry Professionals
  • Opportunity to Join High-end Experts’ Talk Proposed by the Nobel Prize Laureate
  • Promotion Activities to be Provided for Smart Healthcare and the Latest Technology in the Medical and Health Industry
  • Paralleled with Popular Science Fair

Health 2.0 photo 1Health 2.0 photo 2Health 2.0 photo 3

View slides here!

View the conference site for more information.

 

What Is True? What Is Real? And Does It Matter In a Data-Driven World?

Presented by: Frank Buytendijk, VP & Gartner Fellow
November 30th, 2017
10 AM Eastern Time (U.S.)

Discussion Topics:

  • The short-comings of being a data-driven business
  • How to get a better handle on trying to define "truth" with data and analytics
  • How to deal better with the unpredictability of "reality"

We are obsessed with data-driven business. Is that really, truly desirable? Is "data" truly, really objective, or is it just perception? In rational decision making, how's "logic" doing, anyway? How should you deal with reality's habit of biting back?

Register today at Gartner!

 

The Art of Influencing: How CDOs Should Engage Their Stakeholders

Presented by: Alan D. Duncan, Research Director
On Demand

Discussion Topics:

  • How to frame business problems to focus on tangible outcomes
  • How to connect with business stakeholders in a way that makes analytics actionable
  • How to identify causal relationships between data assets and business value

The Art of Influencing: How CDOs Should Engage Their Stakeholders Discussion Topics: How to frame business problems to focus on tangible outcomes How to connect with business stakeholders in a way that makes analytics actionable How to identify causal relationships between data assets and business value Many data strategies and analytics initiatives still focus on the implementation of technology and fail to deliver tangible business benefits. CDOs must change the conversation with their business stakeholders to influence the cultural change impacts of a data-driven approach and ensure that the business value of information assets is fully realized.

Register today at Gartner!

 

Evolving Education at World of Watson
Sunday, October 23rd 2016, 9 AM - 7 PM, Four Seasons Ballroom, Las Vegas NV

Evolving Education with Cognitive and Data Sciences brings together faculty, academic and industry leaders to explore how to rapidly evolve academic programs and research to satisfy the exploding demand for graduates skilled in cognitive and data sciences -- across all fields of study.

Hands-on workshops with emerging cognitive and data science technology:

  • Welcome to the cognitive era; a hands-on with Watson services
  • The New Internet of Cognitive Data Driven Things
  • Empower every student to have smarter data driven decision making
  • Making Data Science a Team Sport

Register today!

 

Use Intelligent Downsampling to Extract Signal from Noise in Big Data
August 18th, 2016

Continuum Analytics' data scientists and engineers have developed a new Big Data visualization approach called datashading. Join us for a webinar on Big Data visualization with the new datashader library, led by Continuum Analytics CTO Peter Wang and Solution Architect Dr. Jim Bednar.

You'll learn how to:

  • Visualize Big Data the Right Way - and why so many people do it wrong
  • Interactively visualize 100 million points of data in a Jupyter Notebook
  • Create live, interactive dashboards of Big Data sets in less than 300 lines of Python - no JavaScript required
  • Visualize the famous NYC taxi ride data set at a new level of detail and interactivity

Visit Continuum Analytics for more information and to register!

 

Big Data for Smart Cities
May 17, 2016

Cities run on a stream of data. In the smart city, the innovative use of data helps provide better and more inventive services to improve people’s lives and make the entire city run more smoothly. But the data our cities collect nowadays is more massive and varied, and is accessed at higher speeds than ever before. This is Big Data. New technologies are constantly being developed to better manage Big Data. This computer science course, from the IEEE Smart Cities initiative and the University of Trento, helps students understand and use these new technologies to help improve a city.

Visit edX for more information and to register!

 

Innovation and Competition: Succeeding Through Global Standards
February 8, 2016

This MOOC offers a practitioner’s view of standards and is geared to graduate students and young professionals in the fields of engineering, technology, computing, business, economics and law – particularly those working, or planning to work, in all facets of product planning, development, introduction and support.

Visit Standards University to register!

 

Using a Fast Operational Database to Build Real-time Streaming Aggregations

Presented by: Behzad Pirvali, Performance Architect, MaxCDN, and Peter Vescuso, CMO, VoltDB
Thursday, February 4, 2016
10 AM Pacific Time (U.S.) | 1 PM Eastern Time (U.S.)

Simplicity, accuracy, speed; these are three things everyone wants from their data architecture. MaxCDN, a content delivery network based in LA, was looking to achieve these goals and developed a framework that handled batch and stream processing with open source software. The objective was to manage the real-time aggregation of over 32 TB of daily web server log data.

The problem? Everything.

A content delivery network’s main service is to track content delivered via the web and bill customers on how many gigabytes of content are served each month. Simplicity, accuracy and speed are needed to process high volumes of data, bill users with confidence the charges are correct, and maintain an agile system that could scale horizontally to support ever-increasing content loads. Listen to this webinar to learn how MaxCDN used VoltDB, the world’s fastest operational DB with fast data pipeline, to:

  • Reduce the number of managed environments by 2/3 times
  • Use 1/10th of CPU cycles required with alternative solutions
  • Achieve 100% billing accuracy on 32 TB of daily web server data

For more information, and to register, click here!

  

Transforming Your Business with Fast Data – Five Use Case Examples

Presented by: Ryan Betts, CTO, VoltDB
Thursday, December 10, 2015
8:30 AM Pacific Time (U.S.) | 11:30 AM Eastern Time (U.S.)

Data is moving at blinding speeds, generated by a wide range of sources – from mobile phones and sensors to a variety of connected “smart” devices. This data, most valuable the moment it arrives, will continue to increase in both volume and variety.

Employing a solution that handles streaming data, provides state, ensures durability, and supports transactions and real-time decisions is key to benefitting from fast data.

But don’t take our word for it. During this webinar, Ryan Betts will address five data management pain points VoltDB solves by highlighting real customers with real, in-production solutions.

You will learn how five customers transformed their business with VoltDB:

  • Ad tech data counting and tracking
  • Content analytics for a global CDN
  • Financial market data latency reduction and regulatory compliance
  • Online game sessionization, player profiling and monetization
  • Mobile network subscriber personalization, and ad delivery

For more information, and to register, click here!

 

VoltDB Presents: Fast Data – the New Big Data

Presented by: Peter Vescuso, CMO, VoltDB
Thursday, November 5, 2015
8:30 AM Pacific Time (U.S.) | 11:30 AM Eastern Time (U.S.)

The data you need to manage isn’t getting smaller, or slower. It’s a snowball, compounding in both speed and volume.

If you’re building applications on fast, streaming data, you need to analyze it, gain insight and take action on it now, not at the end of a batch job.

Fast data is streaming data or data in motion – and it creates Big Data. Forrester analyst Mike Gualtieri thinks the perishable insights in fast data “can have exponentially more value than after-the-fact traditional historical analytics.”  So how to tap it and why would you use the same infrastructure to handle fast data the way you handle big data?

Many approaches used to manage fast data have challenges:

  • Batch processing – if your data is handled in batches, even micro batches, actions taken on that data can be too late
  • Eventual consistency – sacrificing data consistency can lead to errors and problems such as under/over billing, or under/over budget or resource use
  • Integrating a collection of moving parts – trying to build a solution with individual components can take more code, more time, and more expertise than you bargained for, and results in a more complex, less reliable (and hard to manage) solution

What does work? An in-memory database that supports actions and streaming analytics in real-time without sacrificing transactional integrity, performance, and scale.

For more information, and to register, click here!

 

VoltDB and Forrester Research Present: The State of Streaming Analytics: The Need for Speed and Scale

Presented by: Peter Vescuso, CMO, VoltDB, and Mike Gualtieri, Principal Analyst, Forrester Research
Thursday, September 24, 2015
8:30 AM Pacific Time (U.S.) | 11:30 AM Eastern Time (U.S.)

Technological advances and market opportunity are reinforcing the demand for applications that can produce real time insight from streaming data and then act on it. New streaming analytics and in-memory database technologies enable applications to use stream-processed data instantly, while relying on a fast operational database to support transactions, to make decisions, and to take action. Applications with this capability know what's in ‘live’ streams of data, and analyze and act on them faster than anyone else.

Join us for this webinar to learn:

  • The market trends. Hear the latest on the streaming analytics market, in-memory database technology, and the emergence of ‘translytics’ with Forrester Research’s Mike Gualtieri
  • The solution. How the latest release of VoltDB, the in-memory operational database, simplifies the distributed system complexity of building high-speed data pipelines with rapid ingestion of data, real-time analytics, Apache Kafka support, and Elasticsearch support

See the proof with sample use case presentations from mobile, financial services, gaming and ad tech. Sign up today to learn how VoltDB is built to handle the rapidly shifting needs of developers and businesses, supporting apps that rely on ingesting, analyzing and transacting on live streams of data in real time.

For more information, and to register, click here!

 

VoltDB Presents: Managing the Fast Data Pipeline from Ingest to Export

Presented by: John Hugg, Software Developer, VoltDB
Thursday, June 4 2015
8:30 AM Pacific Time (U.S.) | 11:30 AM Eastern Time (U.S.)

Today more than ever, managing data can be like drinking from a firehose. If you’re building applications on fast, streaming data, you want value from your data now, not at the end of a batch job. You need to transform raw information from sources like, social, mobile, cloud, devices and M2M into actionable data, all in the blink of an eye.

Tune in to listen to John Hugg discuss:

  • How to ingest large volumes of fast-moving, streaming data
  • How to interact and process the data stream to support analytics and decision-making
  • How to create new applications that support fast, reliable handling of messages
  • How to do all this with a scale-out architecture without sacrificing data guarantees

For more information, and to register, click here!

 

Big Data Industry Insights

Hosted by Gartner
Tuesday, 27 January 2015
9:00 PM Eastern Time (U.S.) | 12:00 PM Eastern Time (U.S.)

Discussion Topics:

  • Industry-specific business problems and use cases for big data
  • Big data challenges faced by different industries
  • Which industries are investing in big data solutions

The key to getting value from big data is in processing it for insights and improved decision making. This webinar explores how different vertical industries are using big data, the types of data they are leveraging, and the challenges they face.

Register for this webinar now to learn about a better, smarter approach to data security in the Cloud.

Speaker: Lisa Kart, Research Director

For more information, and to register, click here!

 

eLearning Video: Big Data Introduction Part 1 of 3

This is the first in a series of three tutorials on big data created by Mark Davis and the IEEE Cloud Computing Initiative. In this introduction to big data, you will understand the why's, what's, how's of big data, where it's going, and some of the key concepts of big data.

Mark Davis is a Distinguished Engineer at Dell following the acquisition of his big data analytics company, Kitenga. Mark founded Kitenga and served as CTO prior to the acquisition, designing and building the core Hadoop-based engine for the enrichment and analysis of unstructured data.

 

New Jersey Big Data Alliance

The New Jersey Big Data Alliance (NJBDA) was established by the Rutgers Office of Research and Economic Development and the Rutgers Discovery Informatics Institute to catalyze the collaboration among New Jersey government, academia and industry that will enable all parties to address the significant and immediate challenges posed by the proliferation of data sources and the resultant deluge of digital data in a strategic and coordinated manner. This unprecedented alliance brings together universities and colleges from across the state, and has the overarching goals of identifying common challenges and areas of synergy, developing joint programs, and ultimately nucleating an effective alliance that will increase our research competitiveness and drive economic development in New Jersey.

For more information, click here.