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Hamilton (Touring)

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.

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The September 2020 Johnson Park Center (JPC) Food Pantry Schedule

Below is our upcoming JPC Food Pantry Schedule for September 2020: FB Walk-Up: · Monday, August 31st, 3:00 pm - 6:00 pm · Tuesday, September 1st, 3:00 pm - 6:00 pm · Wednesday, September 2nd, 3:00 pm - 6:00 pm FB Walk-Up: · Monday, September 7th. Labor Day Closed · Tuesday, September 8th, 3:00 pm - 6:00 pm · Wednesday, September 9th, 3:00 pm - 6:00 pm Give-Away: Opening Hours/Days Drive-Thru: · Monday, September 14th, 2:00 pm - 7:30 pm Walk-Up · Tuesday, September 15th, 3:00 pm - 6:00 pm · Wednesday, September 16th, 3:00 pm - 6:00 pm FB Walk-Up: · Monday, September 21st, 3:00 pm - 6:00 pm · Tuesday, September 22nd, 3:00 pm - 6:00 pm · Wednesday, September 23rd, 3:00 pm - 6:00 pm Give-Away: Opening Hours/Days Drive-Thru: · Monday, September 28th, 2:00 pm - 7:30 pm Walk-Up · Tuesday, September 29th, 3:00 pm - 6:00 pm · Wednesday, September 30th, 3:00 pm - 6:00 pm Follow us on Facebook for updates and more: https://www.facebook.com/Johnson-Park-Center-216078625103918/ Follow us on Twitter: https://twitter.com/JohnsonParkCtr JPC Office Weekdays 1 pm - 5 pm at (315) 734-9608 Rev. Dr. Maria A. Scates, D.D. CEO / Founder

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CCC-Big Data Foundation 2 Days Training in Seoul

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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Sesame Street Live! Let's Party!

Visa, Mastercard, Discover, American Express, Cash Will Call tickets will be available for pick-up the day of the event, starting 3 hours prior to the event's start time. Guests must present a valid government issued photo identification to receive tickets. Guest Services: GuestServices@UBSArena.com ADA Inquiries: ADA@ubsarena.com The UBS Arena regular Box Office hours are yet to be announced. In addition to the regular hours, the Box Office will also open 3 hours prior to the start of events. Accessible seating is available on all levels and in all ticket price ranges. Wheelchair accessible and companion seating and seats with removeable armrests are available at locations dispersed throughout UBS Arena. Two guest elevators are located in each quad of the arena with access to every level. Accessible doors are at each entrance as well as a limited number of wheelchairs to transport guests with limited mobility to their seating area. Guests may contact UBS Arena at ADA@ubsarena.com for more information

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Piff the Magic Dragon (Las Vegas)

Cash and All Major Credit Cards MUST HAVE PHOTO I.D. & CREDIT CARD USED TO PURCHASE TICKETS WHEN PICKING UP WILL CALL TICKETS (702) 733-3111 1-866-574-3851 - Group Sales (10+) Box office hours: 11:00AM- 10:30PM Group sales hours: M-F 9:00am – 5:00pm To better accommodate your needs the box office has requested that special seating accommodations be solicited through their representatives.

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Eastern Conf Qtrs: Nets at Boston Celtics Round 1 Home Game 2

Cash; Check up to $100.00 w/Mass. Driver License; AMEX; Visa; MC; Discover; Diners Club Pick up tickets starting 2 hours prior to event time. Customer must present the actual credit card used to place order and a photo I.D. General Info Number:(617) 624-1000 Group Sales (only!): (617) 624-1805/1806 Bruins (617) 624-BEAR (Groups = 25+) Celtics (617) 523-3030 (Groups = 20+) Please do not contact Group Sales regarding sold out games! TD Garden - Boston | Tickets, Schedule, Seating Chart, Directions (ticketmaster.com) The box office will open 2 hours prior to an event and remain open until one hour after the event begins. Please note the TD Garden Box Office does not sell tickets at the public on sale. All tickets should be purchased via www.ticketmaster.com *Hours subject to change This is an accessible venue.

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