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Minnesota Vikings vs. Dallas Cowboys
U.S. Bank Stadium Box Office accepts; Cash, Visa, Mastercard, Discover Card and American Express. The will-call windows are located at the U.S. Bank Stadium Ticket Office, on the Northwest corner adjacent to the Polaris Gate. Will-Call will be available for pick-up beginning one hour prior to the event being attended, unless otherwise noted. Tickets are released only to the person whose name appears on the Ticketmaster transaction. Proper photo identification is required. A signature from the person authorized to pick up the tickets will be obtained at the time of pick up. 612-777-8787 U.S. Bank Stadium 612-33-VIKES Minnesota Vikings Monday through Friday 10:00am to 4:00pm Saturday and Sunday closed with the exceptions of event days. For weekend events, the box office will open one hour before doors. Accessible seating is available throughout all seating levels of U.S. Bank Stadium. For accessible seating accommodations, please contact Ticketmaster at 1-800-745-3000. A specifically dedicated ADA Pick-Up/Drop-Off zone is available during events. The designated ADA Pick-Up/ Drop-Off zone is located on 10th Avenue South, between 6th Street South and 7th Street South. Game Day Team Members will be available when you arrive for any additional assistance.
read moreDBCM – Dynamic Business Case Management 2 Days Training in Seoul
Course Description : We are living in a fast, changing world. Managing projects by the book is not enough anymore. Especially when the external effects on projects, from the business, the environment, media, public opinion and even natural disasters, can be enormous. This workshop helps you gain the additional knowledge and tools to manage projects in the future with an increased chance of success. The workshop covers information on the underlying theory, principles, techniques, methods, etc. Course Outline : Course Outline: Module 1: Workshop Introduction Module 2: Overview Module 3: Business Case Module 4: Managing the Business Case Module 5: Tooling Module 6: Examples & Case Exercise Target Audience : Executives, decision makers, managers, project managers, program managers who want to improve their effectiveness. Learning Objectives : At the end of this workshop, you will be aware of the necessity of business case management, be able to apply the tools and techniques and be prepared for a future with more successful projects. Course Agenda : Day 1 Workshop Introduction Overview Business Case Day 2 Managing the Business Case Tooling Examples & Case, Exercise
read moreGreenwich Music Time - Ms. Lauryn Hill
Visa, Mastercard, Visa Debit and CASH ID required for collection LOAs accepted On Site Box Office will be open on show dates from 2pm-9pm Event specific,please select Accessible Icon on event page for specific procedure.
read moreDisney On Ice presents Dream Big
Cash, VISA, MC, AMX, DSC 24 hours in advance from day of show.Cash only day of show. Customers may pick up their tickets at any window on day of show. (915) 533-9899 Monday – Friday 10am – 6pm Saturday 10am – 3pm
read moreMiami Heat vs. Washington Wizards
Cash, Visa, MasterCard, Discover, American Express Tickets purchased in advance can be left at the Will Call Window, located on the north side of the Arena next to Gate 3. • Valid ID required to pick up Will Call Tickets Miami HEAT & Arena Event Sales Information: • Miami HEAT Season Tickets & Partial Plans – (786) 777-HOOP • Miami HEAT Group Tickets – (786) 777-DUNK • Miami HEAT Premium Seats (Courtside/Flagship/Suites/Loges) – (786) 777- 4320 • Arena Event Suite Sales – (786) 777-1000 • Group Ticket & Fundraising Opportunities for Arena Family Shows (786) 777-4FUN (4386) Ticket Office hours are Monday – Friday, from 10:00 AM to 4:00 PM. Hours may be extended on event days. Arena Box Office Information – (786) 777-1250 This is an accessible venue.
read moreSkillsFuture Advice Workshop @ NLB Sengkang (Programme Zone, Level 4)
The five (5) Community Development Councils (CDCs), SkillsFuture Singapore (SSG) & Employment & Employability Institute (e2i) have rolled out SkillsFuture Advice (SFA) workshops to help Singaporeans understand the importance of career with skills planning. These workshops will guide participants in identifying the right skills and training programmes to prepare themselves for the future.
read moreBecome a Business Funding Affiliate - Houston TX
BECOME A BUSINESS FUNDING AFFILIATE PARTNER
read moreBig Four Alumni - 四大老友会 入会申请 New Membership Application
Dear Sir / Madam 你无法想象一群人在办公桌前长期做到凌晨,不断地讨论,还可以欢快地聊天,大家朝着一个目标努力的那种执着是如此的珍贵。 加入“澳大利亚中国四大老友会”,结交知己、分享经验,齐迈进。 欢迎广大在澳大利亚生活的 曾任职 、 在职、及 intern 的 四大会计师事务所 中国背景同事参加。 We welcome you to join ACBF as an ordinary member if you wish. Please fill in information following procedures after you click "register". The application is free of charge. By filling in such information, it serves as evidence of application and your consent to be a member of ACBF. We will put you onto the Register of Members under Corporations Act 2001 and allocate a member number to you If you have any questions, please email to big4alumniAu@outlook.com. Thanks and look forward to your involvement! Regards Australia China Big Four Alumni (ACBF)
read moreKafka Training in Istanbul | 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
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