Get Ready for the Next Event. Look when it's starts

HackerX - Budapest (Full-Stack) Employer Ticket - 11/19

HackerX is an invite-only recruiting event for developers in 120+ cities globally and has a community of over 100,000+ members. We've hand-picked some of the top developers in your city so you don't have to. Meet face-to-face with qualified developers and make your next great hire. MEET 60+ TOP FULL-STACK SOFTWARE DEVELOPERS Our events are organized in rapid speed-dating format (5 minutes each) to keep things engaging and fun. It ensures you can meet the most developers. WHY ATTEND? - Get in front of developers face-to-face and build up your candidate pipeline- Showcase your company's brand and technologies to let the developer community know you're hiring.- After the event, we'll also provide you a list of registrations (~100) so you can scout and reach out after the event.   FAQ Q: What should I bring?A: We recommend bringing an iPad or laptop to show off your company. You're also welcome to bring banners, other visuals, and swag. Q: Can I bring multiple people?A: Absolutely, but you will need to buy an additional ticket for each person. We highly recommend having multiple people to be able to work the room.  Q: How do you ensure quality?Q: To ensure quality, our events are invite-only for developers so almost everyone has a solid work history or background. Q: Do you collect a commission?A: No, we never take a fee outside of the ticket price. QUOTES "HackerX is a great event that connects job seekers and employers seeking engineering talent. BitTorrent participated in 3 events and ended up hiring 3 engineers for key positions." FARID FADAIE, SENIOR DIRECTOR OF PRODUCT - BITTORRENT "HackerX has been very beneficial for TrueCar as it gives us an opportunity to meet and talk with prospective candidates. The casual environment puts the candidate at ease so they can represent themselves to the fullest. We have successfully hired several candidates!"  CHRIS MARTIN, MANAGER OF TALENT ACQUISITION - TRUECAR  HackerX - Host     Sponsored By:   Organized by HackerX 237 Kearny St #245San Francisco, CA 94108  WebsiteContact Us

read more

Detroit Pistons vs. Chicago Bulls

The Box Office accepts MasterCard, Visa, Discover, American Express, and Cash. Box Office Phone Number: (313) 471-7929 The box office is currently closed due to Covid-19 restrictions. Anticipated date for re-opening is on or before June 1, 2021. The box office will be open on event days from 11:00am until 30 minutes after scheduled show time.

read more

Menopause The Musical

Cash and All Major Credit Cards MUST HAVE PHOTO I.D. & CREDIT CARD USED TO PURCHASE TICKETS WHEN PICKING UP WILL CALL TICKETS 702-693-6143 1-855-234-7469 Group Sales (20+) Opens one hour prior to the first show and closes a half hour after the last show. To better accommodate your needs the box office has requested that special seating accommodations be solicited through their representatives

read more

Christmas Silent Disco

Get your headphones on and dance like no one’s watching with panoramic views of Edinburgh’s stunning skyline including the castle. Tickets are £20pp

read more

Big Data Overview 1 Day Training in Seoul

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.

read more