The International Research Conference Aims and Objectives
The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations. With its high quality, it provides an exceptional value for students, academics and industry researchers.
ICORT 2020: 14. International Conference on Orthopaedic and Rehabilitation Technology aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Orthopaedic and Rehabilitation Technology. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Orthopaedic and Rehabilitation Technology
Nationwide Arena : 800 645 2657 or 614 246 3350 for hockey; 614 246 2000 for events Chiller Dublin : 614 764 1000 Chiller Easton : 614 475 7575 Chiller North : 740 549 0009 Group Sales Information: For more information on group reservations or premium seating opportunities, call 614 246 7224
Nationwide Arena: Monday thru Friday: 10 a.m. to 6 p.m. Saturday & Sunday: Closed except on game or event days. Opens at 10 a.m. on game or event days.
Box Office accepts Cash, Visa, Master Card, American Express & Discover
Will Call windows are located inside the Nationwide Arena Box Office at the southwest corner of Nationwide Blvd. and McConnell Blvd. Customer must present actual credit card, confirmation number and a photo ID.
WHEELCHAIR ACCESS: Tickets available at all prices. Available at Ticketmaster, The Chillers and the Box Office. HEARING IMPAIRED: RF style assisted listening devices available through guest services at Nationwide Arena. ELEVATOR ACCESS: Available at the southeast, southwest & northeast corners of Nationwide Arena.
Cash, Visa, MC, Discover and American Express only.
Photo ID is required for all events. Tickets will only be released to the person whose name is on the envelope. Note: Broncos half-price tickets are only available via mobile delivery. There is no will call for half-price tickets.
(720)258-3333 Denver Outlaws Information: 720-258-3600
8:00am-5:00pm Monday - Friday 9:00-End of half time on Game Day
ADA seating may be purchased via Ticketmaster at Ticketmaster.com or by calling 800-745-3000. Limit of 4 ADA seats per customer. For ADA assistance/inquiries, please call 720-258-3337.
Cash, Visa, MasterCard, American Express, Discover
Will Call tickets can be picked up anytime the Box Office is open, thru event start time. Customers must present the actual credit card used to place the order and a valid photo ID.
General Information... 202-628-3200 Accessible Seating Only.. 202-661-5065
Box office is open on non-event days from 12pm-4pm (Monday-Friday); closed on non-event Saturdays and Sundays Box office is open on non-event days from 12pm-4pm (Monday-Friday); closed on non-event Saturdays and Sundays *Hours subject to change
To better accommodate your needs, Capital One Arena has requested that all accessible seating ticket accommodations be solicited only through their representatives. Please contact a Capital One Arena representative for further help with your ticket purchase.* Advance ticket purchase may be required. * Box office information is subject to change.
Cash, American Express, Mastercard, & Visa.
Will Call is located at the Box Office.
Box Office Telephone: 323-468-1770
The Pantages Box Office opens daily at 10am. NO ONE UNDER THE AGE OF 5 ADMITTED
There is no elevator in the Pantages Theatre. Disabled seating is reserved for the exclusive use of the disabled patron and their companion. The purchase or use of disabled seating locations by non-disabled individuals is strictly prohibited and may result in ejection and/or forfeiture of the ticket price.
Presenting Dark Sense, a collection of dark, mysterious, haunting and/or monochrome art made by local artists.
Some art will be hung in our large windows and may be viewed curbside, purchased and available for safe curbside pickup during open hours.
SHOW DATES: October 3-17
--October 3: 6-9pm (OPENING NIGHT)
Please check our website or Facebook page for updates and additional dates and times.
Course Description: This big data training course will provide a technical overview of Apache Hadoop for project managers, business managers and data analysts. Students will understand the overall big data space, technologies involved and will get a detailed overview of Apache Hadoop. The course will expose students to real world use cases to comprehend the capabilities of Apache Hadoop. Students will also learn about YARN and HDFS and how to develop applications and analyze Big Data stored in Apache Hadoop using Apache Pig and Apache Hive. Each topic will provide hands on experience to the students.
Introduction to Big Data
● Big Data – beyond the obvious trends
● Exponentially increasing data
● Big data sources
● Data warehousing, business intelligence, analytics, predictive statistics, data science
Survey of Big Data technologies
● First generation systems
● Second generation systems
● Enterprise search
● Visualizing and understanding data with processing
● NOSQL databases
● Apache Hadoop
Introduction to Hadoop
● What is Hadoop? Who are the major vendors?
● A dive into the Hadoop Ecosystem
● Benefits of using Hadoop
● How to use Hadoop within your infrastructure?
Introduction to MapReduce
● What is MapReduce?
● Why do you need MapReduce?
● Using Mapreduce with Java and Ruby
Introduction to Yarn
● What is Yarn?
● What are the advantages of using Yarn over classical MapReduce?
● Using Yarn with Java and Ruby
Introduction to HDFS
● What is HDFS?
● Why do you need a distributed file system?
● How is a distributed file system different from a traditional file system?
● What is unique about HDFS when compared to other file systems?
● HDFS and reliability?
● Does it offer support for compressions, checksums and data integrity?
Data Transformation
● Why do you need to transform data?
● What is Pig?
● Use cases for Pig
Structured Data Analysis?
● How do you handle structured data with Hadoop?
● What is Hive/HCatalog?
● Use cases for Hive/HCatalog
Loading data into Hadoop
● How do you move your existing data into Hadoop?
● What is Sqoop?
Automating workflows in Hadoop
● Benefits of Automation
● What is oozie?
● Automatically running workflows
● Setting up workflow triggers
Exploring opportunities in your own organization
● Framing scenarios
● Understanding how to ask questions
● Tying possibilities to your own business drivers
● Common opportunities
● Real world examples
Hands-on Exercises
● How to use Yarn within Hadoop?
● Overview of HDFS commands
● Hands-on activities with Pig
● Hands-on activities with Hive/HCatalog
● Hands-on activities with Sqoop
● Demonstration of Oozie
● Learn about the big data ecosystem
● Understand the benefits and ROI you can get from your existing data
● Learn about Hadoop and how it is transforming the workspace
● Learn about MapReduce and Hadoop Distributed File system
● Learn about using Hadoop to identify new business opportunities
● Learn about using Hadoop to improve data management processes
● Learn about using Hadoop to clarify results
● Learn about using Hadoop to expand your data sources
● Learn about scaling your current workflow to handle more users and lower your overall performance cost
● Learn about the various technologies that comprise the Hadoop ecosystem
● Learn how to write a simple mapreduce job from Java or your favorite programming language
● Learn how to use a very simple scripting language to transform your data
● Learn how to use a SQL like declarative language to analyze large quantities of data
● Learn how to connect your existing data warehouse to the Hadoop ecosystem
● Learn how to move your data to the Hadoop ecosystem
● Learn how to move the results of your data analysis to Business Intelligence Tools like Tableaux
● Learn how to automate your workflow using oozie
● Learn about polyglot persistence and identifying the right tool for the right job
● Learn about future trends in Big data and technologies to keep an eye on
● Discover tips and tricks behind successful Hadoop deployments