The Milky Way
Find the adventure in your own backyard! Join us in exploring The Milky Way, a neighborhood crawl through The Milk District.
read moreFind the adventure in your own backyard! Join us in exploring The Milky Way, a neighborhood crawl through The Milk District.
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 moreProgramBoarding starts at 7.00 pm. Welcome drink at arrivalNew Year’s Eve gala dinnerOpen barFolklore PerformanceRaffle GameStuffed cabbage and sparkling wine at midnight PerformancesThe music entertainment will be provided by the „Zoltán Kodály” price awarded Rajkó Orchestra and Folk Ensemble Cruising1,5 hour cruising starts at ~ 20:00 and once again before midnight so the guests can celebrate the New Year on the Danube Program fee: 179 €/ pax It contains the gala - and midnight dinner, open bar, the programs mentioned above, cruising, and transfer back to your accommodation (buses are leaving in every hour starting at 01:00 am) DETAILED PROGRAM 19:00-19:30Boarding starts at 7.00 pm. 20:00-21:30Gala dinner with sightseeing cruise 21:30 - 22:00 or 22:00 - 22:30Performance of the professional dancers from the Rajkó Orchestra and Folk Dance Ensemble 22:30Raffle game 22:45The ship sails out and our guests spend the New Year’s Eve on the Danube. The midnight dinner will be served on buffet table. Party starts after midnight (with DJ and possibility to dance) During the whole event the music will be provided by the Rajkó Orchestra and Folk Ensemble NEW YEAR’S EVE MENU „A” Basil butter with roast Jerusalem artichoke chips and Black Forest ham Home-cured salmon mignon with smoked salmon, lobster jelly, trout caviar salad and celery cream with glasswort Clear veal goulash soup with salted lemon, lovage and ginger Whole roasted beef tenderloin with rosemary and fried pullet breast coated with saffron breadcrumbs, served with duck liver sauce enhanced with lavender vinegar, potato gratin with truffle and a tender vegetable bouquet Hazelnut chocolate cake with white chocolate mousse and quince compote with blood orange „B” Basil butter with roast Jerusalem artichoke chips and marinated tofu Home-cured salmon mignon with smoked salmon, lobster jelly, trout caviar salad and celery cream with glasswort Porcini mushroom consommé with beetroot, salted lemon and ginger Breast of Guinea fowl stuffed with rosemary-scented goose liver, served with duck liver sauce enhanced with lavender vinegar, potato gratin with truffle and a tender vegetable bouquet Hazelnut chocolate cake with white chocolate mousse and quince compote with blood orange Vegetarian menu Basil butter with roast Jerusalem artichoke chips and marinated tofu Herbed goat cheese with zucchini tartare, stuffed quail's egg and celery cream with glasswort Porcini mushroom consommé with beetroot, salted lemon and ginger Eggplant “sausage” with saffron breadcrumbs, tomato curry, potato gratin with truffle and a tender vegetable bouquet Hazelnut chocolate cake with white chocolate mousse and quince compote with blood orange MIDNIGHT MENU Vegetarian lentil soup, boiled sausage and debrecener sausage with horseradish and mustard, mini Transylvanian stuffed cabbage rolls. Fruit platter + OPEN BAR! After booking please send us your meal preference for the following e-mail address: frontoffice@hungariagroup.com +3613171377
read moreMongoDB training is a LIVE Instructor led training delivered from January 6 - January 29 , 2020 for 16 hours over 4 weeks, 8 sessions, 2 sessions per week, 2 hours per session. Weekly Schedule 4 weeks | Monday, Wednesday very week 5:30 PM - 07:30 PM US Pacific time each day January 6 - January 29, 2020 US Pacific time Please check your local date and time for first session Features and Benefits 4 weeks, 8 sessions, 16 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 MongoDB Training Course Objectives You will learn to integrate MongoDB with - Jaspersoft, Pentaho, GUI Tool Robomongo You will develop an expertise in writing Java and Node JS applications using MongoDB You will troubleshoot performance issues. You will learn about MongoDB Aggregation framework You will learn about MongoDB Backup and Recovery options and strategies. You will learn how to set up a replicated cluster, Managing Replica Sets Who should take this training? Analysts Software Development Engineers Web Development professionals Those who want master MongoDB/NoSQL Project Managers and Trainers System administrators Research professionals Those seeking to build career in Big Data Career Course Outline 1. Getting Started with NoSQL and MongoDB Types of NoSQL Database NoSQL vs SQL Comparison ACID & BASE Property CAP Theorem Benefits of NoSQL databases Installation process Basic commands on Mongo shell Introduction to MongoDB Setup MongoDB environment Start and Stop the MongoDB process 2. MongoDB Installation Download MongoDB MSI Installer Package Installing MongoDB Basic MongoDB operations and commands Install MongoChef (MongoGUI) Setup Alias shortcuts for Mongo 3. MongoDB Architecture Document, Collection, Databases JSON and BSON Storage Engines (WiredTiger and MMAP) Read Path Journaling Write Path Working Set Capped Collection Oplog collection TTL Index GridFS 4. CRUD Operations MongoDB Data Types Inserting, Update, Deleting the documents Querying the documents Bulk insert operation Updating multiple documents Limiting documents Filtering documents Query optimization 5. Data Management and Administration Database status Troubleshooting issues Current Operations Rotating log files Users and Roles Copy and Clone database DB and Collection Stats Performance tuning Database sharding and profiling Explain plan Profiling Changing configuration files Upgrading the database
read moreGENERAL EVENTS: Cash, Visa, MC, Amex and Discover - UNIVERSOUL CIRCUS: Cash only - HURRICANE FOOTBALL at UM Box Office: Cash, Visa, MC, AMEX ($1 service charge on all tickets) GENERAL EVENTS Location : Gate G Hours : 10am Miami Hurricanes Football : Gate F at the Stadium, 4 hours prior to Kickoff (888) FINS-TIX for Miami Dolphins and General Events 1-800-GO-CANES for University of Miami Football 305-341-4701 for the Capital One Orange Bowl For Universoul Circus information 1-800-316-7439 GENERAL EVENTS Mon-Fri 8:30am-6:00pm Sat 10:00am-4:00pm University of Miami Football: 8:30am-5:00pm, Monday-Friday at Hurricane Ticket Office located at the BankUnited Center on UM Campus This is an accessible venue.
read moreCash, Visa, MasterCard, American Express, Discover Will Call tickets can be picked up anytime the Box Office is open, thru event start time. Customers must present the actual credit card used to place the order and a valid photo ID. General Information... 202-628-3200 Accessible Seating Only.. 202-661-5065 Box office is open on non-event days from 12pm-4pm (Monday-Friday); closed on non-event Saturdays and Sundays Box office is open on non-event days from 12pm-4pm (Monday-Friday); closed on non-event Saturdays and Sundays *Hours subject to change To better accommodate your needs, Capital One Arena has requested that all accessible seating ticket accommodations be solicited only through their representatives. Please contact a Capital One Arena representative for further help with your ticket purchase.* Advance ticket purchase may be required. * Box office information is subject to change.
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.
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