Get Ready for the Next Event. Look when it's starts
Disney On Ice presents Dream Big
The Box Office accepts cash, Visa, Discover, and Mastercard. Tickets held for Will Call may be picked up as early as 60 minutes prior to show at the front of the building or second floor by elevator. The customer must have actual credit card, picture ID, and confirmation number. PHONE NUMBERS: Ticket sales: (337) 491-1432. Event information line: (337) 491-8668 MON - FRI: 8:30AM-4:30PM SAT: 10:00AM-12:00PM Available through box office. Elevators, located near Box Office on first floor, give access to 200 and 300 balcony level seating.
read moreAn Evening with Chris De Burgh - His Songs, Stories & Hits
Cash, cheques, credit cards and SOLT Theatre Tokens. Tickets left at the box office for collection may be picked up on the day, during the hour before the performance starts. Please take the credit card and Ticketmaster Booking Reference Number as proof of purchase. Ticketmaster UK: 0870 154 40 40, International 00 44 161 385 3500. Monday - Saturday: 10:00 - 20:00. For special needs seating please call: 0844 412 4648.
read moreBoston Bruins vs. Buffalo Sabres
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.
read moreKafka Training in Beijing | Apache Kafka Training | Learn about Kafka and its components and study how to Integrate Kafka with Hadoop, Storm and Spark | January 11 - January 26, 2020
This is a 12 hours long LIVE Instructor led training delivered from January 11 - January 26, 2020 over 3 weekends, 6 sessions, 2 sessions per weekend, 2 hours per session. Kafka Training offers an in-depth understanding of Kafka Architecture, configuration, performance tuning, integration with Hadoop, spark & storm, etc., through real-time use cases. Weekly Schedule 3 weekends | Saturday and Sunday every weekend 7:30 - 9:30 AM US Pacific time each day January 11 - January 26, 2020 US Pacific time Please check your local date and time for first session Features and Benefits 3 weeks, 6 sessions, 12 hours of total Instructor led LIVE training Training material, instructor handouts and access to useful resources on the cloud provided Practical Hands on Lab exercises provided Actual code and scripts provided Real-life Scenarios What is Kafka? Kafka is an open source data streaming system. It is designed to efficiently manage and process messaging system. The messages are produced and checked at the rate of milliseconds. Kafka is used to building a real-time data pipelines. It is a distributed streaming platform which means that it exactly publishes and subscribes to stream of records. Kafka is usually good for building real-time streaming. Also, it helps to build a real-time streaming application. It can be run on one or more server. What are the Course Objectives?Complete knowledge of Apache Kafka. Learn how to install and configuration of Kafka. Get knowledge of End-to-End architecture. Integration with other Application. Implementing Kafka as the Single node. Implementing on real-time Project. Who should take this Course? Any IT experienced Professional who is interested to build their career in Big data Analysts. Any B.E/ B.Tech/ BSC/ M.C.A/ M.Sc Computers/ M.Tech/ BCA/ BCom College Students in any stream. Fresh Graduates. Prerequisites The course can learn from any IT professional having basic knowledge of : Core Java Programming Database concept Unix/Linux Module 1: Introduction to Big Data and Apache Kafka Introduction to Big Data Big Data Customer Scenarios What is Kafka? Need for Kafka Core Concepts of Kafka Kafka Architecture Where is Kafka Used Module 2: More about the Kafka cluster Understanding the components of Kafka Cluster Installation of Kafka Cluster Configuring Kafka Cluster Producer of Kafka Consumer of Kafka Producer and Consumer in Action Module 3: Kafka Operations and Performance Tuning Offset Design Hardware Kafka Monitoring and Issues Kafka Performance Tuning Reading data from Kafka Demo-Twitter Kafka Producer Introduction to Scala Mixed Paradigm-Functional Programming Scala Installation & Configuration Scala REPL Scala Project Using Eclipse Module 4: Integration of Kafka with Hadoop and Storm Understanding the Hadoop Cluster Integrating Kafka with Hadoop Cluster Understanding Apache Storm Implementing Spouts and Bolts Kafka with Storm Spout Module 5: Integration of Kafka with Spark Ecosystem of Spark Understanding the Spark Cluster Integrating Kafka with Spark
read moreICAMAA 2020: 14. International Conference on Airspace Management and Aviation Administration
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. ICAMAA 2020: 14. International Conference on Airspace Management and Aviation Administration aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Airspace Management and Aviation Administration. 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 Airspace Management and Aviation Administration
New York Yankees v. Houston Astros * Premium Seating *
Please check https://www.yankees.com/updates for updated information including a Yankee Stadium Ticket Office reopening schedule.
read morePittsburgh Penguins vs. Nashville Predators
412-642-1800 The Box Office will only be open on event days. Monday - Friday at 10am & Saturday - Sunday at 12pm. On an event day, the Box Office hours vary. Hours are subject to change as a result of event times, holidays or inclement weather. Please call 412-642-1800 for more information.
read moreFrozen (NY)
Cash, Visa, MC, Discover, American Express Available at Box Office during regular hours. Holiday Box Office Hours: Christmas Eve (12/24/19) - 10:00am-2:00pm Christmas Day (12/25/19) - CLOSED New Year's Eve (12/31/19) - CLOSED New Year's Day (1/1/20) - 12:00pm-7:00pm Box office hours: Monday - Saturday 10:00am-8:00pm Sunday 11:00am - 7:00pm THE BOX OFFICE WILL BE OPEN FOR SALES IN PERSON ONLY. There are no steps into the theatre from the sidewalk. Please be advised that where there are steps within the theatre we are unable to provide assistance. Orchestra: Seating is accessible to the Orchestra without steps, but there are 1-2 steps up to access rows Q-T in the Center and Right Orchestra. Wheelchair seating is in the Orchestra only. Mezzanine: On the 2nd Level: up 29 steps from the Orchestra. There is no elevator to the Mezzanine. Entrance is behind row F. There are approximately 2 steps up/down per row. There are handrails along both sides of every aisle in the mezzanine. Balcony: On the 3rd level: up 76 steps from the Orchestra. There is no elevator to the Balcony. There are approximately 2 steps up/down per row. There are handrails along both sides of every aisle in the Balcony.
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