Orlando New Year’s Eve guests are encouraged to dress well for the occasion. Please dress appropriately as the list will be enforces as well as the New Year’s attire for entry.
Event is 21+
Lose yourself to the music, live the high life, and experience the extraordinary at 3NINE, Orlando’s premier event entertainment venue. Located in the Rosen Plaza Hotel on famous International Drive in Orlando, Florida, we look forward to becoming an immediate Orlando staple for both locals and travelers of the world thanks to our chef-inspired menu, high energy, enticing atmosphere, and the two full-service bars we offer both inside and out on our poolside patio.
Visa, MC, Discover, American Express and Cash
Open 2 hours prior to the event. Must present a photo ID, the confirmation number, or the credit card used to place the order.
Ticket Office Info-line: (260) 483-1111 Ticket Charge-By-Phone Number: (800) 745-3000
Summer Ticket Office Hours: Monday-Friday 10:00am - 5:00pm Saturday: Closed* Sunday: Closed* *Open Saturday & Sunday for any ticketed events.
Accessible seating is available at all points of purchase. Seating is reserved for sight/hearing impaired patrons and special amenities are available, i.e. Hearing Devices and Sign Language interpreters. Please contact the Memorial Coliseum Box Office at 260-483-1111 if you should need special amenities. You may also contact the venue's TTY machine at 260-480-2108.
412-642-1800
During the Pittsburgh Penguins hockey season, the DICK'S Sporting Goods Box Office at PPG Paints Arena will be open: Monday – Friday, 10:00 AM – 5:00 PM and Saturday, 10:00 AM – 2:00 PM. Sundays that are event days will vary based on the event time but opening hours will always be 10:00 AM with the Box Office remaining open up through the start of the event.
Holiday Gift Collective brings together seven East Bay female artisans in Lafayette, CA
San Francisco, CA – With a global pandemic and wave of fires, many small businesses have shuttered under the conditions, while others have united in finding new ways to sustain themselves and support their local communities through their crafts.
Contra Costa County recently moved into Tier 2, allowing for the return of indoor retail shopping under state guidelines. The artisans and women behind Holiday Gift Collective are thrilled at the opportunity to safely showcase their goods and boost their local economy just in time for the holidays.
The idea for Holiday Gift Collective was born from the shared values of each of the participating artisans as well as from the #shoplocal movement which encourages people to invest in their communities with the goal of strengthening the economy. Holiday Gift Collective is a union in support of community and equality, and will offer home goods, jewelry, gourmet foods, and more.
In addition to continuing to pave the path for aspiring female entrepreneurs, Holiday Gift Collective hopes to encourage the community to work together in the fight against climate change. Brands such as Planet Renu, SIP, and Hofssi Chocolates will be presenting a variety of eco-friendly and ethically sourced products. Joining the list of green businesses will be Hollie's Homegrown, a local organic herb farm on a mission to create the highest quality herbal food and body products. All together, they will provide Holiday Gift Collective customers with unique and special gift options that reduce our carbon-footprint.
To learn more about the women behind Holiday Gift Collective, visit their sites: Anne Morrison Rabe Photography, Annie Chrietzberg, Hofssi Chocolates, Hollie’s Homegrown, Manjusha Jewels, Planet Renu, and SIP (Seriously Imbibed Products).
Located at 3539 Plaza Way, Lafayette, CA, the pop-up will run Sunday, Nov. 1 through the end of the holiday season from 10 a.m. to 5 p.m. Local guest artisans will be featured on a rotating basis.
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Contacts
Holiday Gift Collective:
Sanjiv Chawla
sanjiv@manjushajewels.com
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
The 2020 NBA All Star Weekend Chicago will have parties all weekend. We will have a party pass for the entire 2020 NBA All Star Weekend simply RSVP FREE HERE to be notified.
This is a 12 hours long LIVE Instructor led training delivered from January 14 - January 30, 2020 over 3 weeks, 6 sessions, 2 sessions per week, 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 weeks | Tuesday, Thursday every week
5:30 - 7:30 PM US Pacific time each day
January 14 - January 30, 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
Level 2
Learn-to-Swim Level 2: Fundamental Aquatic Skills
Purpose:
Build on the basic aquatic skills and water safety skills and concepts learned in Level 1.
Prerequisites:
Successful demonstration of the Learn-to-Swim Level 1 exit skills assessment