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Thank You & the January 2021 Johnson Park Center (JPC) Food Pantry Opening Days/Hours

What: Thank You & the January 2021 Johnson Park Center (JPC) Food Pantry Opening Days/Hours Where: 1404 West Street, NY 13501 Contact: JPC Office 1:00 pm to 5:00 pm at (315) 734-9608 Email at: revmeier@johnsonparkcenter.org Utica, NY. Thank you to Capraro Technologies, Inc. (CTI), the Community Foundation of Hermiker & Oneida Counties), and all of the donors for financial gifts to the JPC Food Pantry to purchase food for persons in need. You helped us to reach our goal successfully and very quickly. We have closed out this campaign. Thank you again for caring and giving. Below "Rain-Snow or Shine" is the JPC Food Pantry Schedule for January 2021 Opening Days/Hours: Walk-Up: Mon, Jan 4, 2021, from 3 pm to 6 pm Tue, Jan 5, 2021, from 3 pm to 6 pm Mon, Jan 11, 2021, from 3 pm to 6 pm Tue, Jan 12, 2021, from 3 pm to 6 pm Tue, Jan 19, 2021, from 3 pm to 6 pm Free Food Giveaway: Drive-Thru on Mon, Jan 25, 2021, from 2 pm to 7 pm Walkers on Tue, Jan 26, 2021, from 3 pm to 6 pm If you have any questions or need additional information, the best way to contact Rev. Ursula Meier, JPC COO & Media Coordinator, is by email: revmeier@johnsonparkcenter.org Or call her at (315) 269-8580. Thank you so much for your continual support and Join Positive Change at Johnson Park Center (JPC). -- Rev. Dr. Maria A. Scates, D.D. CEO / Founder JCTOD Outreach, Inc. dba Johnson Park Center (JPC) Utica, NY, 13503-0160, Tel.: (315) 734-9608

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Ozzy Osbourne: No More Tours 2 - VIP Packages

Collect at the venue on the day from when the door open. Take the credit card and Ticketmaster reference number Box Office: 0115 853a 3000 There is an advance box office for personal callers. The venue is accessible to disabled visitors, with a lift and level entrances. Please call 0115 853 3002 for disabled bookings.

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Disney On Ice presents Dream Big

Cash, Visa, MasterCard, American Express and Discover Policies for each event may be different. Generally event will call tickets may be picked up 90 minutes prior. (210) 207-3663 Regular hours - Mon-Fri 10:00am-5:00pm Event days - vary For accessible seating, please call (210) 207-3663.

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The Musical Box: A Genesis Extravaganza 2020 (Usher Hall, Edinburgh)

In 2018, in an all-out performance of live visual signature stunts, a museum-worthy array of vintage instruments and a dizzying pace of hit tracks and stage rarities, The Musical Box indulged in, for the first time in its 25 year existence, an intense trip of their own imagining... into the world of early Genesis. In 2019 they return, with Part II of A Genesis Extravaganza. As the only band ever licensed and supported by Genesis and Peter Gabriel, The Musical Box presents a new, never performed show featuring the music of Trespass, Nursery Cryme, Foxtrot, Selling England by The Pound, The Lamb Lies Down on Broadway, A Trick of the Tail and Wind & Wuthering. With a few added surprises thrown in for good measure, it's a performance that any Genesis fan will not want to miss! Acclaimed for its historical re-enactment of early Genesis, TMB has performed for more than a million spectators worldwide in some of the most prestigious venues such as The London Royal Albert Hall and The Paris Olympia. TMB had the privilege of hosting Phil Collins and Steve Hackett as performing guests. In its quest for authenticity, TMB is often cited as the best interpretation group in the world and the international reference for early Genesis. "The Musical Box recreated, very accurately I must say, what Genesis was doing. I saw them in Bristol with my children so they could see what their father did back then" - Peter Gabriel "They're not a tribute band, they have taken a period and are faithfully reproducing it in the same way that someone would do a theatrical production" - Phil Collins "I cannot imagine that you could have a better tribute for any act. They not only manage to sound, but look virtualy identical. It seems as though nothing is too difficult for them" - Steve Hackett "It was better than the real thing actually. It was great, that was fantastic." - Mike Rutherford "The guy who does Peter Gabriel is brilliant" - Tony Banks ID may be required on entry as proof of purchase. Resales are strictly not permitted. The promoter reserves the right to void any tickets found on, or sold through any secondary resale sites.

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New York Knicks vs. Washington Wizards

Cash, American Express, Visa, MasterCard, Discover. ATM machines are located in Chase Square. Pick-up tickets anytime the day of the show during box office hours (see above). Customers must present the actual credit card used to place the order and a picture ID. MSG cannot accept third party or “drop offs” from individual patrons. General Info: (212) 465-MSG1 (6741) or (212) 247-4777 Knicks Information: 1(877) NYK-DUNK. Rangers Fan Line: (212) 465-4459. Liberty Hotline: (212) 564-WNBA (9622). Season Subscriptions: (212) 465-6073. Disabled Services: (212) 465-6034 Guest Relations: (212) 465 - 6225 Group Sales: (212) 465-6100 Lost and Found: (212) 465-6299 Monday - Saturday: 10:00am to 6:00pm **Tickets are not on-sale at the Box Office on the first day an event goes on-sale** The Box Office will be open at 10:00am daily or 90 minutes before the 1st performance of the day, whichever is earlier and will stay open until 8:00pm or 30 minutes after the last performance of the day begins, whichever is later. Sunday – Closed If an event takes place on Sunday, Box Office will open 90 minutes before the event start time and remain open 1 hour after event start time for Will Call and tickets sales for the evening's event only. MSG WHEELCHAIR AND TRANSFER SEATING POLICY: Wheelchair and Transfer seating is reserved exclusively for patrons with accessible needs and their companions. Accessible seating is intended for use by an individual with a mobility disability or other disability who requires the accessible features of accessible seating due to a disability, and that individual's companions. Madison Square Garden (MSG) reserves the right to investigate potential misuse of accessible seating and to take all appropriate action against individuals who fraudulently obtain tickets for accessible seating. While tickets for accessible seating legitimately purchased for the use of an individual with disability may be transferred to another individual under the same terms and conditions applicable to other tickets, in the event such ticket is transferred to a non-disabled individual, MSG reserves the right to transfer that individual to other available seating TO ORDER WHEELCHAIR AND TRANSFER SEATING: Tickets for people with accessible needs, subject to availability, may be purchased in several ways: 1) Call Ticketmaster at 866-858-0008 2) Call MSG's Disabled Services Department at (212)465-6115. 3) Visit Madison Square Garden's Box Office (see box office hours above) 4) Order Online with Ticketmaster (select your event from the list to the left) For additional information regarding accessibility at Madison Square Garden or to request any other accommodations, please call MSG's Disabled Services Department at (212) 465-6115 any weekday between 9:30am-4:30pm ET. Service Animals Pets are not permitted at Madison Square Garden. MSG has very specific policies related to service and emotional support animals. Please visit www.thegarden.com to obtain more information for admitting your animal. Assistive listening devices (ALDAs) are available upon request. Please visit the Guest Experience Office across from section 117 for assistance. There is no charge for this service, however some form of identification will be requested and returned to you, once the device is checked back in. Wheelchair Storage: For patrons who wish to transfer to a seat from their wheelchair, we will store your mobility device at the Guest Experience Office. You will receive a claim check for your device. Wheelchair Escorts to Seats: Patrons with mobility impairments who do not have access to a wheelchair may request a wheelchair to transport the individual to/from their seat, free of charge. Please be aware that our personnel cannot remain with you during the event, nor will they allow you to remain in or keep the wheelchair for the duration of the event. In the event a patron requires the use of a wheelchair for the duration of the event, we recommend bringing your own wheelchair or other mobility device. The escort pick-up area is located on the South (toward 31st) side of Chase Square at elevator alcove. Please allow for extra so that you may be accommodated prior to the event start. Simply ask a Guest Experience Representative or a MSG Security Guard for assistance. Elevators: Public elevators are available for use by guests with disabilities and service every seating level

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Big Data Overview 1 Day Virtual Live Training in Frankfurt

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.

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SOCIAL HOUR AND BARBERING EDUCATION

In this class you will discover techniques that can be applied to conquering any type of hair. Whether you are looking for new techniques to add to your arsenal or are looking to build it, this class is something you don't want to miss!

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SAVE SEPTEMBER

Save the date... to Save September! As we progress through the what was already a crazy year, we wanted to bring the community together to show we are back and stronger than ever! This new event will help Neopolitans see and taste their city in a whole new light. Save September is a month-long restaurant-based event which gives the diner an opportunity to benefit from multiple dine in and takeout experiences, with tailored takeout menus while receiving gift cards to return to your establishment. Save September is aimed to do 3 very important things: 1. Save local hospitality from the pitfall known as September 2. Encourage food enthusiasts to save at their favorite local hotspots 3. Give back to our hospitality professionals and other businesses affected by COVID-19 September is all about Taking-out, Dining-in and Giving back! ------------------------------------------ For more information about this event, check out our Facebook: @SaveSeptemberSWFL

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Kafka Training in Beijing | Apache Kafka Training | Learn about Kafka and its components and study how to Integrate Kafka with Hadoop, Storm and Spark | January 11 - January 26, 2020

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

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