TARQUE & LA ASOCIACIÓN DEL RIFF en la La Riviera de Madrid.
TARQUE & LA ASOCIACIÓN DEL RIFF estarán en la La Riviera de Madrid el próximo sábado, 28 de Diciembre de 2019 dentro de los últimos conciertos de la gira presentación de su proyecto.
HORARIOS: Apertura: 20:00 / Tarque: 21:00
PRECIOS: Anticipada: 23€ + gtos / Taquillas: 26€
IMPORTANTE: Menores de 16 años acompañados por tutor legal
Sin duda alguna, estamos ante uno de los discos y de las giras del año. Una obra que sin pretensión, resulta auténtica, verdadera y entretenida. Y no hay mejor entretenimiento que el que no engaña. Con Carlos Tarque no hay trampa ni cartón, pero sí mucho corazón.
En directo, además de a Carlos Tarque, podremos ver y escuchar a su banda, "La Asociación del Riff", una de las más poderosas que se puede reunir hoy día en el panorama del rock en castellano, siendo los músicos que han tomado parte en la grabación del disco que presentan (Carlos Raya, Coki Giménez e Ivan González “Chapo”)
Types of payment accepted are Cash, Check, Visa, MasterCard, American Express and Discover.
Will Call is defined as tickets left by the Colorado Rockies, tickets purchased via mail, online or telephone orders that were not mailed, and tickets left by a third party. Will Call is generally available during regular ticket office hours at the Coors Field Main Ticket Office at 20th and Blake Streets. Guests must present a photo I.D. to pick up tickets. Tickets must be left under the name of the person who will pick them up. If there is a need to change the Will Call name, the Guest must contact Will Call prior to game time at (303) 292-0200.
Call (303) ROCKIES for all your inquires.
After February 11, 2012, regular ticket office hours are Monday through Friday, 9:00am to 6:00pm, and Saturday, 9:30am to 4:00pm, with extended hours on home game days, remaining open until approximately 30 minutes after the conclusion of the game. Sunday home game days only, the ticket office will open at 9:00am remaining open until approximately 30 minutes after the conclusion of the game.
There are approximately 1,000 accessible and companion seats available throughout Coors Field. When purchasing seats, please indicate to the ticket seller (whether ordering by phone or in person) that you require accessible seating. If you are mailing your order, indicate this request on your mail order form. Even though a game may be "sold out" for other areas, there may still be accessible and companion seating available. Despite the "sold out" status, unsold accessible and companion seating will remain reserved for persons with disabilities, with the following exception: on the day of a sellout when there are enough seats to meet the needs of our Guests with disabilities, a percentage of the unsold accessible and companion seating may be made available to the public. The remaining inventory will continue to be reserved for our Guests with disabilities. Additionally, please note that only certain areas will be sold, and there is not a specific time they will be available.
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.
Cash, Visa, MC, Discover, American Express
Available at Box Office during regular hours.
Holiday Box Office Hours: Christmas Eve (12/24/19) - 10:00am-2:00pm Christmas Day (12/25/19) - CLOSED New Year's Eve (12/31/19) - CLOSED New Year's Day (1/1/20) - 12:00pm-7:00pm Box office hours: Monday - Saturday 10:00am-8:00pm Sunday 11:00am - 7:00pm THE BOX OFFICE WILL BE OPEN FOR SALES IN PERSON ONLY.
There are no steps into the theatre from the sidewalk. Please be advised that where there are steps within the theatre we are unable to provide assistance. Orchestra: Seating is accessible to the Orchestra without steps, but there are 1-2 steps up to access rows Q-T in the Center and Right Orchestra. Wheelchair seating is in the Orchestra only. Mezzanine: On the 2nd Level: up 29 steps from the Orchestra. There is no elevator to the Mezzanine. Entrance is behind row F. There are approximately 2 steps up/down per row. There are handrails along both sides of every aisle in the mezzanine. Balcony: On the 3rd level: up 76 steps from the Orchestra. There is no elevator to the Balcony. There are approximately 2 steps up/down per row. There are handrails along both sides of every aisle in the Balcony.
CashCheckAmExVisaMC
Pick up tickets 1 hour prior to show. Customers must present the actual credit card used to place the order and a photo ID.
(212) 586-6510
Monday - Wednesday 10am - 8pm Thursday - Saturday 10am - 8:30pm
This event will take place at the Church Health Center - 1350 Concourse Ave Ste 142, Memphis, TN 38104. The shifts will be 10am to 1pm and 1pm to 4pm on Tuesdays, Wednesdays, Thursdays, and Fridays. Volunteers will assist with the screening process for Covid19. This is an opportunity for students to volunteer and earn underserved hours. If you have any questions, email twisdom@uthsc.edu or mwrigh71@uthsc.edu. ***DISCLAIMER: DO NOT SIGN-UP FOR AN EVENT IF YOU ARE SUPPOSED TO BE IN CLASS! BEING LATE TO CLASS OR MISSING CLASS DUE TO A SERVICE EVENT IS NOT ACCEPTABLE AND WILL NOT BE EXCUSED. Supervisor 10am-1pm - $0.00 Volunteer 10am-1pm - $0.00
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.
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