CashAmExVisaMasterCardDiscoverDiners Club
Pick-up tickets anytime the day of the show at Window 11. Customers must present the actual credit card used to place the order and two forms of ID, including a photo ID.
Box Office: (212) 465-MSG1 Switchboard: (212) 465-6000
Non-Event Days: Monday - Friday from 9:00am to 6:00pm Saturday from 10:00am to 6:00pm Closed Sunday Event Days:* Monday - Friday from 9:00am to 1 hour after event start Saturday from 10:00am to 1 hour after event start Sunday from 12:00pm to 1 hour after event start *If an event starts prior to standard box office opening time, the box office will open at 9:00am, and stay open until 1 hour after the event start time.
Inquiries or requests concerning accessibility should be directed to the Accessible Services Department for Madison Square Garden at (212) 465-6034.
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.
The United Center Box Office accepts Cash, Visa, MasterCard, American Express and Discover Card.
Tickets held at Will Call can be picked up beginning 90 minutes prior to the start of the actual event. E-TICKET /PRINT AT HOME & MOBILE TICKETING If you chose Print-at-Home as your delivery method, your tickets will be sent to the email address used at the time of purchase in the form of a .pdf and must be printed on paper in advance for entry. Print at Home tickets cannot scanned at the venue from a mobile device. Choosing mobile entry allows the convenience of using your smartphone as your game ticket. You no longer need to bring your physical tickets to the game. This includes season tickets and single game tickets purchased online or forwarded by email through authorized outlets including Chicagoblackhawks.com, Chicagobulls.com, ClickTix, Ticketmaster.com or other United Center approved outlets. Mobile entry requires a valid QR code.
(312) 455-4500 (312) 455-4519 (TTY)
Monday-Friday, 11:00 a.m. until 6:00 p.m. Saturday, closed if no performance Sunday, closed if no performance *Hours subject to change depending on event schedules.
Not only is the United Center designed to 100% ADA compliance, but each team member has been specifically trained in assisting our guests with special needs. Should you have any questions regarding the accessibility of the arena or for ticket information, please call 312-455-4653 and ask for Guest Relations (312-455-4519 TTY). Tickets in wheelchair accessible areas are available on all levels of the United Center, and the arena offers 100 disabled parking spaces located in parking Lot G off of Damen Avenue. All washrooms, restaurants, first aid station, seating areas, Cash Stations, box offices, Concession stands and drinking fountains are all wheelchair accessible.
Cassandra training is a 16 hours long LIVE Instructor-led training delivered from January 11 - February 2, 2020 over 4 weekends, 8 sessions, 2 sessions per weekend, 2 hours per session.
Cassandra Training Overview
Cassandra training course is designed to help you master the key concepts of Apache Cassandra including Architecture, features, Data Model, and its Administration. During this Cassandra course, you will learn how to install, configure, and monitor Cassandra. You will also learn about its integration with other Apache frameworks like Hadoop, Spark, and Kafka.
Weekly Schedule
4 weekends | Saturday and Sunday every weekend
7:30 - 9:30 AM US Pacific time each day
January 11 - February 2, 2020 US Pacific time
Please check your local date and time for first session
Features and Benefits
4 weeks, 8 sessions, 16 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 are the Objectives of the Course ?
Creating Sample Application in Cassandra
Configuring, Reading and Writing Data in Cassandra
Integrating Cassandra with Hadoop
Cassandra Data Model
Cassandra Environment
Understanding Cassandra Architecture
Who should take this course?
IT Professionals looking for a career in Cassandra
IT Developers
Testing professionals
Those looking to refresh their Cassandra skills
Analyst/Researcher
Project Managers
Course Outline
1. What is Big Data
Technology Landscape
Big Data Relevance
Distributed Systems and Challenges
2. Why NoSQL Databases
Relational DB vs. NoSQL
Type of NoSQL Databases
NoSQL Landscape
CAP Theorem and Eventual Consistency
Key Characteristics of NoSQL Database systems
ACID vs BASE
3. Cassandra Fundamentals
Distributed and Decentralized
Elastic Scalability
High Availability and Fault Tolerance
Tuneable Consistency
Row-Oriented
Schema-Free
High Performance
4. The Cassandra Data Model
The Relational Data Model
A Simple Introduction
Clusters
Keyspaces
Hands-on Session
5. Installation and Setup of Cassandra
Single Node Setup
Multi-Node Cluster Setup
Key Configurations for Cassandra
CLI and Hands-On with Cassandra
6. Cassandra Modeling
Cassandra (Column Family NoSQL DB)
Key Concepts – Key Space – Column Family – Column Family Options – Wide Rows, Skinny Row – Column Sorting – Super Columns – Counter Column Family – Composite Keys and Columns – Time To Live –
Secondary Indexes in Cassandra
Difference between Custom Indexes and Secondary Indexes
Difference between Relational Modeling and Cassandra Modeling
Key Points to note while modeling a Cassandra Database
Patterns and Anit-Patterns in Cassandra Modeling
7. Cassandra Architecture & Intro to CQL
Anatomy of Reading operation in Cassandra
Anatomy of the Write operation in Cassandra
How is Deletes handled in Cassandra
System Keyspace
Peer to Peer Model Logical Data Model: Keyspace, Column Family/Table, Rows, Columns
Traditional Ring design vs. VNodes
Partitioners: Murmer3, Random (md5) and ByteOrdered
Gossip and Failure Detection
Anti-Entropy and Read Repair
Memtables, SSTables and Commit Log
Compaction fundamentals to reduce SSTable data files
Hinted Handoff
Compaction
Bloom Filters, Tombstones
Managers and Services
VNodes
Indexes and Caches
Coordinator node
Seed nodes
Write/Read consistency levels: Any, One, Two, Three, Quorum
Snitches: Dynamic snitching, Simple Snitch, Rack Inferring Snitch, Property File Snitch, Gossiping Property File Snitch
Routing Client requests
Nodetool commands: gossipinfo, cfstats, describing
YAML file fundamentals
Operations management web GUI
Stress testing Cassandra
CQL command fundamentals
8. Cassandra API
Key concepts for Reading and Write in Cassandra
Tunable Consistency
Simple-Get, Multi-get Slice
Range and Slice
Slice Predicate
Delete
Hands-on CLI commands
9. Cassandra CQSHL
SQL over Cassandra
Composite Keys
Hands-on examples on CQL 3.0
10. Cassandra Clients
How to establish Client Connections
Thrift Client
Connection Pooling
Auto-discovery and Failover in Hector
Client with CQL
11. Cassandra Monitoring and Administration
Tuning Cassandra
Backup and Recovery methods
Balancing
Bootstrapping
Node Tools Commands
Upgrades
Monitoring critical metrics
Bulk Loading Data to Cassandra
Bulk Export of Data from Cassandra
Hands-on Examples for each of them
12. Cassandra Analytics and Search Clusters
Cassandra Hadoop Integration
Integration of Solr with Cassandra
Search Query on Cassandra
The MetLife Stadium Box Office will accept cash, Visa, Mastercard, Discover, and American Express. Personal checks will not be accepted.
Ticketmaster Will Call may be picked up at any open ticket window. For all events, non-Ticketmaster will call orders may be picked up at the designated will call window. Will call tickets will be available beginning at least 2 hours prior to the scheduled start time for the event.
Box Office: 201.559.1300, tickets@metlifestadium.com - General Ticket Inquiries - ADA Ticket Inquiries Guest Services: 201.559.1515, info@metlifestadium.com
MetLife Stadium Box Office is open Monday through Friday 11am through 5pm. The Box Office is located in the West VIP lobby. Please park in Lot G, enter through MetLife Gate and into the large glass doors labeled West VIP.
MetLife Stadium is fully accessible including all concession stand locations, merchandise stands, ATM's and seating areas. Accessible seating for guests with special needs is available on all levels and in all price ranges. Elevators are located in the southeast (HCL Tech), southwest (Verizon), and northwest (Pepsi) corners of the stadium. Ramps are located at the north and south entrances. Seats with removable armrests are located throughout the stadium. A limited number of wheelchairs are located at each of the entrance gates to transport guests with limited mobility to their seating area. Guests may contact the MetLife Stadium at 201-559-1515 or ADAinfo@metlifestadium.com for more information or any additional needs for non-NFL events. MetLife Stadium ADA Ticket Questions call 201-559-1300. New York Giants ADA Ticket Purchases call 888-694-1925. New York Jets ADA Ticket Purchases call 973-549-4585. For wheelchair accessible and limited mobility patrons for non-NFL events, please click on the "Request Accessible Tickets" icon on the right side of the page to be taken to a dedicated page for accessible seating purchases. Please request the total number of wheelchair plus companion seats or limited mobility plus companion seats within the same wheelchair dropdown box so you may sit together.
Course Description:
This is an awareness course designed to provide you with an understanding of Big Data, the potential sources of Big Data that can be used for solving real business problems. The course also introduces Big Data technologies, such as Hadoop and MongoDB, and provides the overview of data mining and the tools used in it.
Course Topics:
Module 1 : Big Data Fundamentals
● Big Data: History, Overview, and Characteristics
● Big Data Technologies: Overview
● Big Data: Privacy and Ethics
● Big Data Projects
● Big Data Success Stories
Module 2 : Big Data Sources
● Enterprise Data Sources
● Social Media Data Sources
● Public Data Sources
Module 3 : Data Mining : Concepts and Tools
● Data Mining: Introduction
● Data Mining Tools
Learning Goals:
● Explain Big Data and its characteristics.
● Explain the most popular tools/technologies for Big Data processing.
● Identify various types of enterprise, social media, and public data sources.
● Explain data mining and popular tools used for data mining.
Course Agenda:
Day 1
● Big Data Fundamentals
● Big Data Sources
● Data Mining: Concepts and Tools
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.
Visa, MasterCard, American Express, Discover
Located at the South Box Office and opens 2 hours prior to event and will remain open until 1 hour after each event starts. Customer must present credit card used for the purchase, photo I.D, and Ticketmaster account confirmation number.
Main Number : 954-835-8000 Panthers Groups, Suites and Ticket Packages : 954-835-7825 Concert and Event Tickets: 954-835-7469 For the Metro by T-Mobile Orange Bowl Basketball Classic call 305-341-4701
The Box Office is currently closed until further notice. Please check social media for updates. Mon - Fri: 9:00am - 5:00pm Sat - Sun: CLOSED, except when an event is taking place on that day. Event day hours (Sat - Sun):12noon to 1 hour after event starts.
The center is an accessible venue.