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

Los Angeles Lakers vs. San Antonio Spurs

Crypto.com Arena does not accept Will Call drop off. Alternate Will Call Procedure (Alternate Pick Up) If a person (other than the person ordering and paying for the tickets) is picking up a Will Call order, the Alternate Pick-Up's name MUST be on the account. To add the name of an alternate pick-up to the account, the original purchaser must contact Ticketmaster Customer Service at 1-800-745-3000, verify their account information and request the addition an alternate pick-up. 213-742-7340 Box office is located on North side of building at 11th and South Figueroa. Box office hours are 10am to 6pm, Monday through Saturday. It is open extended hours on event day. Phone: 213-742-7340 SUMMER HOURS Closed Saturdays and Sundays unless there is an event, the box office will open at 9am on Saturdays or 10am on Sundays only if there is an event. The box office will have extended hours on all event days.

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Indianapolis Colts vs. Baltimore Ravens

Box Office accepts: Cash, Visa, MC, Discover, Amex. Accepted methods of payments vary by event. Orders are available for pick up the week of the event Tues-Fri 9am-5pm. Ticket Office is located on the SE corner of the stadium Lucas Oil Stadium Ticket Office: (317) 262-3389 Colts Ticket Office (317) 297-7000 Mon-Fri: 9:00am - 5:00pm Sat-Sun: Closed Event Days: Varies by individual event-call box office. Yes. Sold through the Stadium or Ticketmaster. Limited Seating. Elevators are available at this venue. Hearing devices are available upon request.

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Introduction To Software Test Automation 1 Day Training in Seoul

Course Description: This Course covers the critical software development related issues that you must address. It helps you understand and choose the Best approaches for your organization. The Course is relevant in any technology environment, regardless of the automation tools you use. Management issues including responsibilities, automation Objectives and return on investment are also included in the Course. In addition to technical matters such as testware architecture, pre- and post-Processing and automated comparison techniques. Course Topics: ●     Introduction ●     Objectives, what we cover (and don’t cover) today ●     Session 1: Managing Test Automation ●     Test automation Objectives (and exercise) ●     Responsibilities ●     Pilot project ●     Measures for automation ●     Return on Investment (ROI) (and exercise) ●     Session 2: Scripting Techniques ●     Objectives of scripting techniques ●     Different types of scripts ●     Domain specific test language ●     Session 3: Testware Architecture ●     Importance of testware architecture ●     What needs to be organised ●     Session 4: Pre- and Post-Processing ●     Automating more than tests ●     Test status ●     Session 5: Comparison Techniques ●     Automated test verification ●     Test sensitivity ●     Session 6: Testware Maintenance ●     Common maintenance issues ●     Maintenance mitigation Learning Goals: ●     Achieve better success in automation ●     Deal with Management issues and technical issues ●     Plan an effective automation strategy Course Agenda: Day 1 ●     Introduction ●     Managing Test Automation ●     Scripting Techniques ●     Testware Architecture ●     Pre- and Post-Processing ●     Comparison Techniques ●     Testware Maintenance Who can Attend: ●     Software Engineer ●     Software Tester

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Model Search

Mystiquee Agency looking for Male and Female models ages 15 and up. For Fashion Shows, Commercials, Billboards, Magazines, etc.

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Lihi Hod Exclusive Trunk Show at Wedding Atelier NYC

Wedding Atelier in NYC will be hosting an exclusive Lihi Hod trunk show featuring styles from both Lihi Hod Couture and Lihi Hod Dreams Fall 2021 Collections on Friday, January 8th through Sunday, January 17th. To schedule an appointment, please call (646) 638-3263 or email info@weddingatelier.com.  Lihi Hod collections are creations of infinite love, innocence and powerful emotions. Hod new collections feature magnificent pieces; stunning gowns with flowing, classic silhouettes and romantic details, as always reflecting Hod meticulous craftsmanship, the signature of all her creations. The gowns are made of silk organza, Mikado silk and beaded tulles, and ornamented with handmade, embroidered three-dimensional flowers making brides blossom on their unforgettable day. LOCATION: Wedding Atelier - New York 72 Madison Ave., 4th Floor New York, NY 10016 HOURS: Mon. - Wed. & Fri.  11am - 6pm Thurs.  11am - 5pm Sat. & Sun.  10:30am - 5:30pm

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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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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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Kafka Training in Taipei | 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 14 - January 30, 2020 over 3 weeks, 6 sessions, 2 sessions per week, 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 weeks | Tuesday, Thursday every week 5:30 - 7:30 PM US Pacific time each day January 14 - January 30, 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

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