Illusions The Drag Brunch NYC - Drag Queen Brunch Show - NYC, NY
'PLEASE NOTE: WHEN SELECTING YOUR TICKET TYPE THAT BRUNCH IS NOT INCLUDED AND MUST BE PURCHASED AS AN ADD-ON TICKET PER PERSON. THE ONLY FOO
read more'PLEASE NOTE: WHEN SELECTING YOUR TICKET TYPE THAT BRUNCH IS NOT INCLUDED AND MUST BE PURCHASED AS AN ADD-ON TICKET PER PERSON. THE ONLY FOO
read moreCourse 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.
read moreCash and All Major Credit Cards MUST HAVE PHOTO I.D. & CREDIT CARD USED TO PURCHASE TICKETS WHEN PICKING UP WILL CALL TICKETS 702-693-6143 1-855-234-7469 Group Sales (20+) Opens one hour prior to the first show and closes a half hour after the last show. To better accommodate your needs the box office has requested that special seating accommodations be solicited through their representatives
read moreThird lesson of the Metropolitan Trails Academy 2020 training course in Milano : HOW TO TELL THE STORY OF A METROPOLIS ?
read more'PLEASE NOTE: WHEN SELECTING YOUR TICKET TYPE THAT BRUNCH IS NOT INCLUDED AND MUST BE PURCHASED AS AN ADD-ON TICKET PER PERSON. THE ONLY FOO
read moreCash, 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
read moreCash, Check, (14 day prior to event) AMEX, Visa, MC, Discover Pick up tickets 90 minutes prior to show or daily at the Norfolk Scope box office (for Scope events only) from 9AM-3PM. Customer must present the actual credit card to place the order, a photo I.D. and the order number. (757) 664-6464 10:00AM -box office opens one hour prior to show time. house 5:30pm opens 30 minutes before show time. Accessible seating is available. Hearing devices are available upon request.
read moreDevstringx Technologies has planned an event In September 1st week. Behind this an event we want to share our knowledge with the get-together with our industrialist. In this event, we also offer a great opportunity to these students who just complete their education.We'll select lots of students for make their career bright. We give a great opportunity to work with our certified expert. So Please Don't waste this occasion.
read morecredit and debit cards (no AMEX) - There is no Box Office on site. Tickets booked over the phone directly with the venue can be collected from the venue on the day of the show from 7pm onwards, please just bring your confirmation e-mail along with you. Ticketmaster UK 0844 844 0444. Box Office No 020 7485 6834 for information and restaurant bookings. Calls will cost 7 ppm plus your network access charge. Monday to Thursday 10am to 6pm, Friday 12pm to 6pm, Saturday 10am to 6pm. Customers requesting Accessible Tickets can buy their tickets from Ticketmaster via www.ticketmaster.co.uk and do not have to explain their disability.Wheelchair customers do not need to contact the venue in advance;an assistant will be admitted free on arrival.If you have a non-visible disability and need to bring an assistant please call 0207 688 8899.
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