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 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.
ICSITCCT 2020: 14. International Conference on Smart Information Technologies and Collaborative Communication Technology aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Smart Information Technologies and Collaborative Communication Technology. 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 Smart Information Technologies and Collaborative Communication Technology
Visa, Mastercard, American Express, Discover, Cash
Tickets can be picked up at the Main Box Office no earlier than 5:00PM on the day of the event. Customers must have the actual credit card, a picture ID and the confirmation number to receive their tickets.
662-470-2131
Monday - Friday 10am-6pm Saturday 12-4 Sunday closed (unless scheduled event)
This is an accessible venue. *ADA Wheelchair and Companion seating is configured in both 1+2, 2+1, and 2+2 arrangements on the lower level. http://landerscenter.com/index.php/info/faq
The Box Office accepts Cash , Visa , Mastercard and American Express as methods of payment.
Will call is available two hours prior to the start of the event. Will call is part of the South Ticket Office, on Autumn St near Santa Clara St. Customers must present the actual credit card used for the purchase, a photo ID and the Ticketmaster confirmation number in order to receive their tickets.
The ticket office can be reached at (408) 287-9200 during business hours.
The Box Office is located at the South East corner of the Arena, on the corner of Santa Clara St and Autumn St. Box Office hours are as follows: Mon - Fri .......... 10:00AM - 3:00PM Saturday & Sunday .... Closed
SAP Center has designated seats for both wheelchair accessible seating and their companions. However, due to size constraints, companion seats will not fit a wheelchair. So patrons needing wheelchair accessible seating must purchase a wheelchair accessible seat as the SAP Center cannot turn a companion seat into a wheelchair accessible seat.
Cash, Visa, MC, Discover, American Express
Customers can pick up Will Call tickets one (1) hour prior to the show. Customers must present the actual credit card used to place the order and a photo I.D. Will Call is located inside the theater lobby.
(315) 435-2121
The Solvay Bank Box Office at The Oncenter is located on the State Street side of The Oncenter War Memorial Arena (760 S. State St.). To purchase tickets or for more information, you can call 315-435-2121. The Solvay Bank Box Office at The Oncenter is open Monday thru Friday from 10:00 a.m. to 5:00 p.m. and Saturday from 9:00 a.m. to 1:00 p.m. (closed Saturdays in the summer) The Solvay Bank Box Office at The Oncenter is closed on Sunday. During weekend events, the box office will open in the theater lobby one (1) hour prior to the start of the show.
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.
Cash, AmEx, Visa, MC
Pick up tickets one hour prior to the show. Customers must present the actual credit card used to place the order and a photo ID.
(212) 221-1211
Monday - Saturday 10am - 8pm Sunday 12pm - 6pm
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.