Get Ready for the Next Event. Look when it's starts

Oklahoma City Thunder vs. Dallas Mavericks

Paycom Center is a cashless venue. The Box Office accepts, Visa, MasterCard, American Express and Discover cards, as well as mobile wallet (Apple Pay, Google Pay) payments. When purchasing tickets by phone or online, you may choose to pick them up at the Box Office Will Call window on the day of the show. Please be prepared to present the credit card used to purchase the tickets, as well as a photo I.D. Press and VIP tickets, or tickets left by a third party, may also be picked up at Will Call on the day of the event. A photo I.D. is required. Arena: 405-602-8700 Thunder Ticket Office: 405.208.HOOP (4667) Paycom Center's Box Office is located just off West Reno between the two main entrances on the north side of the arena. Currently, it is temporarily closed on non-event days. On event days, the Box Office is open at 12pm (noon) on Mondays-Saturdays, or four hours prior to the event time on Sundays. Some events may have additional hours. Paycom Center meets or exceeds all structural and service requirements as stipulated by the Americans with Disabilities Act. Restrooms, drinking fountains, and concession counters are accessible to guests with disabilities. Additional services are listed below. Accessible Tickets/Seating: Wheelchair accessible seats are available in all price levels. Up to three companion tickets may be purchased with each wheelchair accessible ticket. Please indicate at the time of purchase if you require accessible seating. Accessible Drop-off: Passengers may be dropped off at Reno and Robinson near the northwest entrance to Paycom Center. Elevators: Elevators are located throughout the facility for wheelchair access to all levels. The elevators near Section 101, just inside the northwest entrance, provide access to the arena floor. Elevator on club level nearest Section 205. See the maps at the center of this guide for exact locations. Emergency Evacuation: Paycom Center staff members have been trained in emergency preparedness and evacuation procedures. Key employees are assigned to assist patrons with disabilities to safety. Listening Devices: Listening devices may be rented free of charge at the Guest Relations Desks located at each of the main entrances. A credit card or check deposit, as well as a valid I.D., are required to ensure the return of equipment. Parking: Accessible parking is available in the parking lots on the south side of Paycom Center. Entrances are available on S.W. 3rd Street, east of Robinson. Accessible parking spaces are also available in the underground parking garage at the neighboring Prairie Surf Studios. See Parking for additional information. Service Animals: Trained guide dogs or service animals are permitted to assist guests inside the arena. If special accommodations are required for your service animal, please notify us at the time of your ticket purchase. All other animals are prohibited. Sign Interpreters: Guests who require interpreting services during an event, should contact the Guest Relations Manager by calling (405) 602-8700 within three weeks of the event. Telephones: Telephones are provided at Guest Relations locations and throughout Paycom Center, courtesy of Cox Communications. TDD machines and volume-enhanced phones are available. Wheelchair Assistance: Paycom Center offers wheelchair service for guests who may need assistance to and from their seats. Please contact a Guest Relations representative for assistance. Wheelchair assistance is provided on a first-come, first-served basis. Due to the limited number of wheelchairs available, they may not be borrowed or rented as seating during the event. If wheelchair assistance becomes necessary during an event, please notify the nearest staff member.

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Belga Club - PREMIUM forfait 2019

Abonnement Belga Club - PREMIUM forfait voor max 3 collega's: 800€ excl btw/jaar* Voordelen: - Woordvoerdersavond - Events / Lunchgesprekken - Voordelen bij evenementen van partners - Korting voor evenementen in de vrije tijd - 25% korting voor workshops en trainingen *vanaf de datum van betaling

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Houston Texans Preseason Home Game v San Francisco 49ers

cash, visa, mc, amex & discover - no checks TO PICK UP Will Call -- you must present your confirmation number, a picture ID and the credit card used to purchase your tickets. You must wait 48 hours after ordering to pick up your tickets. For NRG Stadium information 832-667-1400. Monday-Friday 10am-5pm Saturday 10am-2pm. Hours subject to change.

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Disney On Ice presents Into the Magic

Mastercard, Visa, AMEX, Discover, Cash NOTE: The XL Center does not allow alternate pick up names for will call. Guests who have ordered tickets via phone/internet will need to present proper photo ID and the credit card used to charge the tickets. Both must be under the same name. Customers may pick up their tickets anytime the box office is open the day of the event. Customers must present the actual credit card used to place the order and two forms of ID, including a photo ID. Monday - Friday 12 - 4 pm The XL Center is committed to providing all patrons the opportunity to enjoy our events. For this reason, the XL Center and its staff make it a priority to accommodate the needs of individuals with disabilities and their companions. Mobility device, wheelchair, and limited mobility seating is available. For more info, visit the ADA Information page on our website.

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Monster Jam

Cash, Visa, Mastercard, Discover Tickets may be picked up two hours prior to event start time. Customer must present the actual credit card used to place order, a photo I.D. and the confirmation number given at the time of purchase. Pick up tickets at the Will Call or Reservation window. General Info Number: (508) 755-6800 Accessible seating: (508) 929-0164 Group Sales (508) 755-6800 ext. 2125 September through May: Monday-Saturday...10:00AM-5:30PM Sunday...........12:00PM (Event days only) Summer Hours: Monday-Saturday....10:00AM-4:00PM Sunday...........12:00PM (Event days only) The Box Office is open through the 1st half of the event on event days. It is located in the main lobby.

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ESSMA Summit 2020 - Tickets for ESSMA Stadium/Club/League/Federation Member

The ESSMA Summit is the go-to stadium industry event by ESSMA (European Stadium & Safety Management Association). Hosting venue: Groupama Arena, Budapest (Portugal) Participants: Representatives of: ESSMA member Leagues, Federations, Clubs, Stadiums ESSMA Stadium & Corporate Partners ESSMA Strategic Partners Visit the event site » Are you an ESSMA Corporate/Stadium Partner? Register via https://www.eventbrite.com/e/essma-summit-2020-tickets-for-essma-corporatestadium-partners-tickets-68614709443.

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CCC-Big Data Foundation 2 Days Training in Frankfurt

Course Description: The Big Data foundation course provides you with an understanding of Big Data, potential data sources that can be used for solving real business problems, and an overview of data mining and the tools used in it. This is a fundamental course with practical exercises designed to provide you with hands-on experience in using two of the most popular technologies in Big Data processing – Hadoop and MongoDB. You will get the opportunity to practice installing these two technologies through lab exercises. The exercises expose you to real-life Big Data technologies with the purpose of obtaining results from real datasets from Twitter. After completing the course, you will be equipped not only with fundamental Big Data knowledge, but will also be introduced to a working development environment containing Hadoop and MongoDB, installed by yourself. This practical knowledge can be used as a starting point in the organizational Big Data journey. Course Topics:  Module 1 : Course Introduction ●     Course Learning Objectives ●     Course Agenda ●     Activities ●     Exam ●     Course Book ●     Cloud Credential Council®(CCC) ●     Certification Value Module 2 : Big Data Fundamentals ●     Big Data – History, Overview, and Characteristics ●     Big Data Technologies – Overview ●     Big Data Success Stories ●     Big Data – Privacy and Ethics ●     Big Data Projects Module 3 : Big Data Sources ●     Enterprise Data Sources ●     Social Media Data Sources ●     Public Data Sources Module 4 : Data Mining – Concepts and Tools ●     Data Mining – Introduction ●     Data Mining – Tools Module 5 : Big Data Technologies – Hadoop ●     Hadoop Fundamentals ●     Install and Configure ●     MapReduce ●     Data Processing with Hadoop Module 6 : Big Data Technologies – MongoDB ●     MongoDB Fundamentals ●     Install and Configure ●     Document Databases ●     Data Modelling with Document Databases Module 7 : Exam Preparation Guide ●     Qualification Learning Objectives ●     Learning Level of the Syllabus ●     Certification ●     Exam Instructions ●     Tips for Exam Taking ●     Mock Exam Learning Goals:  ●     Big Data fundamentals ●     Big Data technologies ●     Big Data governance ●     Available sources of Big Data ●     Data Mining, its concepts and some of the tools used for Data Mining ●     Hadoop, including its concepts, how to install and configure it, the concepts behind MapReduce, and how Hadoop can be used in real life scenarios ●     MongoDB, including its concepts, how to install and configure it, the concepts behind document databases and how MongoDB can be used in real life scenarios Course Agenda: Day 1 ●     Course Introduction ●     Big Data Fundamentals ●     Big Data Sources ●     Data Mining – Concepts and Tools Day 2 ●     Big Data Technologies – Hadoop ●     Big Data Technologies – MongoDB ●     Exam Preparation Guide Who can Attend? This course is best suited to Information Technology professionals who possess intermediate to advanced programming, system administration, or relational database skills and are looking to move into the area of Big Data. These include: ●     Software Engineers ●     Application Developers ●     IT Architects ●     System administrators The course can also be of benefit to other professionals, such as business analytics and research analytics, who possess strong Information Technology skills and have a deep interest in Big Data analytics and the benefits it can bring to an organization.

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