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Big Data 2 Days Bootcamp in Seoul

Course Description: This big data training course will provide a technical overview of Apache Hadoop for project managers, business managers and data analysts. Students will understand the overall big data space, technologies involved and will get a detailed overview of Apache Hadoop. The course will expose students to real world use cases to comprehend the capabilities of Apache Hadoop. Students will also learn about YARN and HDFS and how to develop applications and analyze Big Data stored in Apache Hadoop using Apache Pig and Apache Hive. Each topic will provide hands on experience to the students. Introduction to Big Data ● Big Data – beyond the obvious trends ● Exponentially increasing data ● Big data sources ● Data warehousing, business intelligence, analytics, predictive statistics, data science Survey of Big Data technologies ● First generation systems ● Second generation systems ● Enterprise search ● Visualizing and understanding data with processing ● NOSQL databases ● Apache Hadoop Introduction to Hadoop ● What is Hadoop? Who are the major vendors? ● A dive into the Hadoop Ecosystem ● Benefits of using Hadoop ● How to use Hadoop within your infrastructure? Introduction to MapReduce ● What is MapReduce? ● Why do you need MapReduce? ● Using Mapreduce with Java and Ruby Introduction to Yarn ● What is Yarn? ● What are the advantages of using Yarn over classical MapReduce? ● Using Yarn with Java and Ruby Introduction to HDFS ● What is HDFS? ● Why do you need a distributed file system? ● How is a distributed file system different from a traditional file system? ● What is unique about HDFS when compared to other file systems? ● HDFS and reliability? ● Does it offer support for compressions, checksums and data integrity? Data Transformation ● Why do you need to transform data? ● What is Pig? ● Use cases for Pig Structured Data Analysis? ● How do you handle structured data with Hadoop? ● What is Hive/HCatalog? ● Use cases for Hive/HCatalog Loading data into Hadoop ● How do you move your existing data into Hadoop? ● What is Sqoop? Automating workflows in Hadoop ● Benefits of Automation ● What is oozie? ● Automatically running workflows ● Setting up workflow triggers Exploring opportunities in your own organization ● Framing scenarios ● Understanding how to ask questions ● Tying possibilities to your own business drivers ● Common opportunities ● Real world examples Hands-on Exercises ● How to use Yarn within Hadoop? ● Overview of HDFS commands ● Hands-on activities with Pig ● Hands-on activities with Hive/HCatalog ● Hands-on activities with Sqoop ● Demonstration of Oozie ● Learn about the big data ecosystem ● Understand the benefits and ROI you can get from your existing data ● Learn about Hadoop and how it is transforming the workspace ● Learn about MapReduce and Hadoop Distributed File system ● Learn about using Hadoop to identify new business opportunities ● Learn about using Hadoop to improve data management processes ● Learn about using Hadoop to clarify results ● Learn about using Hadoop to expand your data sources ● Learn about scaling your current workflow to handle more users and lower your overall performance cost ● Learn about the various technologies that comprise the Hadoop ecosystem ● Learn how to write a simple mapreduce job from Java or your favorite programming language ● Learn how to use a very simple scripting language to transform your data ● Learn how to use a SQL like declarative language to analyze large quantities of data ● Learn how to connect your existing data warehouse to the Hadoop ecosystem ● Learn how to move your data to the Hadoop ecosystem ● Learn how to move the results of your data analysis to Business Intelligence Tools like Tableaux ● Learn how to automate your workflow using oozie ● Learn about polyglot persistence and identifying the right tool for the right job ● Learn about future trends in Big data and technologies to keep an eye on ● Discover tips and tricks behind successful Hadoop deployments

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KARPE - SAS Spektrum x 10

Monster Jam

cash, visa, mc, amex & discover - no checks TO PICK UP Will Call -- you must present your confirmation number, a picture ID and the credit card used to purchase your tickets. You must wait 48 hours after ordering to pick up your tickets. For NRG Stadium information 832-667-1400. Monday-Friday 10am-5pm Saturday 10am-2pm. Hours subject to change.

Chicago Blackhawks vs. Minnesota Wild

The United Center Box Office accepts Cash, Visa, MasterCard, American Express and Discover Card. Tickets held at Will Call can be picked up beginning 90 minutes prior to the start of the actual event. E-TICKET /PRINT AT HOME & MOBILE TICKETING If you chose Print-at-Home as your delivery method, your tickets will be sent to the email address used at the time of purchase in the form of a .pdf and must be printed on paper in advance for entry. Print at Home tickets cannot scanned at the venue from a mobile device. Choosing mobile entry allows the convenience of using your smartphone as your game ticket. You no longer need to bring your physical tickets to the game. This includes season tickets and single game tickets purchased online or forwarded by email through authorized outlets including Chicagoblackhawks.com, Chicagobulls.com, ClickTix, Ticketmaster.com or other United Center approved outlets. Mobile entry requires a valid QR code. (312) 455-4500 (312) 455-4519 (TTY) Monday-Friday, 11:00 a.m. until 6:00 p.m. Saturday, closed if no performance Sunday, closed if no performance *Hours subject to change depending on event schedules. Not only is the United Center designed to 100% ADA compliance, but each team member has been specifically trained in assisting our guests with special needs. Should you have any questions regarding the accessibility of the arena or for ticket information, please call 312-455-4653 and ask for Guest Relations (312-455-4519 TTY). Tickets in wheelchair accessible areas are available on all levels of the United Center, and the arena offers 100 disabled parking spaces located in parking Lot G off of Damen Avenue. All washrooms, restaurants, first aid station, seating areas, Cash Stations, box offices, Concession stands and drinking fountains are all wheelchair accessible.

Sesame Street Live! Let's Party!

CashAmExVisaMasterCardDiscoverDiners Club Pick-up tickets anytime the day of the show at Window 11. Customers must present the actual credit card used to place the order and two forms of ID, including a photo ID. Box Office: (212) 465-MSG1 Switchboard: (212) 465-6000 Non-Event Days: Monday - Friday from 9:00am to 6:00pm Saturday from 10:00am to 6:00pm Closed Sunday Event Days:* Monday - Friday from 9:00am to 1 hour after event start Saturday from 10:00am to 1 hour after event start Sunday from 12:00pm to 1 hour after event start *If an event starts prior to standard box office opening time, the box office will open at 9:00am, and stay open until 1 hour after the event start time. Inquiries or requests concerning accessibility should be directed to the Accessible Services Department for Madison Square Garden at (212) 465-6034.

Carolina Panthers vs. Atlanta Falcons

Advance sales - Cash, Visa, MCGame days - Cash only Open 4 hours prior to game time. Located at box office-southeast corner PLEASE BRING A PICTURE ID, THE ACTUAL CREDIT CARD USED TO PURCHASE THE TICKETS, AND YOUR ORDER NUMBER. Carolina Panthers box office - (704) 358-7800 Open Mon-Fri 8:30am-5:30pm Opens 2 Hours Prior To Game Time Located at the Southeast corner between South and East Gates This venue is accessible.

Harry Potter and the Cursed Child

Azure AD Identitäten, Authentifizierung und Device Registration | Nov 2020

Überblick Identitäten in der Cloud (Azure AD) und Authentifizierungsmethode Hybride Ansätze vs. reinen Cloud-basierenden Methoden Schutzmaßnahmen: Conditional Access, MFA, "Compliant Device" Deep Dive Cloud Authentication, Tokens/Claims, Windows Hello Workflow für die Software Paketierung und Verteilung Funktionsweise und Administration RealmJoin für das Software Management Software Distribution mit Intune (Nutzung Company Portal) & RealmJoin Software Lifecycle Hands On Consent Framework Multi-Factor-Authentication Voraussetzungen für Hands-On Sie bringen ein Windows Notebook mit, Chrome wird als Browser bevorzugt.

New York Yankees vs. Pittsburgh Pirates

Visa, Mastercard, and American Express. No Cash Will Call is not currently available as a delivery option. The Stadium Box Office will be open on day of game(s) to help with Mobile Ticket troubleshooting. Location: Right Field and Main Box Offices Windows Open: Spring Training: 2 hours before game. Tampa Tarpons: 1 hour before game. (813) 879-2244 Right Field and Main Offices will only open on day of Game. Any advance sales must be made online or by contacting the Steinbrenner Field Ticket Office via phone. Hours to reach a Box Office Representative by phone are Mon-Fri 9:30am-5:30pm This is an accessible venue.

Florida Panthers vs. Boston Bruins

Visa, MasterCard, American Express, Discover Located at the South Box Office and opens 2 hours prior to event and will remain open until 1 hour after each event starts. Customer must present credit card used for the purchase, photo I.D, and Ticketmaster account confirmation number. Main Number : 954-835-8000 Panthers Groups, Suites and Ticket Packages : 954-835-7825 Concert and Event Tickets: 954-835-7469 For the Metro by T-Mobile Orange Bowl Basketball Classic call 305-341-4701 The Box Office is currently closed until further notice. Please check social media for updates. Mon - Fri: 9:00am - 5:00pm Sat - Sun: CLOSED, except when an event is taking place on that day. Event day hours (Sat - Sun):12noon to 1 hour after event starts. The center is an accessible venue.