SeatGeek
Ticketmaster
StubHub
Gametime
TicketX
Viagogo
TickPick
FilmStruck
Apache Pig
Looker
Jupyter
Presto DB
Google BigQuery
Databricks
Rakam
Informatica
SeatGeek Apache PigApache Pig is recommended for data engineers and analysts who are working in Apache Hadoop environments and need to perform ETL (Extract, Transform, Load) operations on large datasets. It is also suitable for teams looking to leverage existing Hadoop infrastructures without delving into complex Java MapReduce programming or when migrating legacy processing scripts based on Pig Latin.
Based on our record, SeatGeek seems to be a lot more popular than Apache Pig. While we know about 23 links to SeatGeek, we've tracked only 2 mentions of Apache Pig. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
SeatGeek Https://seatgeek.com › tba › articles Where do NFL Fans Live? Mapping Football Fandom Across the U.S. Source: almost 2 years ago
You can always buy from Ticketmaster, but you can also try one of the secondary marketplaces that have officially partnered with the NFL. The bar codes are guaranteed to work as long as you buy from one of the official NFL ticketing partners like StubHub, SeatGeek, or Vivid Seats. Source: about 2 years ago
The NFL schedule will be announced next week. Sometimes you can buy directly from Ticketmaster, and if you can't, the most reliable secondary ticket marketplaces are StubHub, SeatGeek, and Vivid Seats. All are official NFL ticketing partners. Source: about 2 years ago
SeatGeek is what I've been using without any issues. Source: about 2 years ago
Tickets are easy to buy. And it should be even easier if you are solo. Get the MLB Ballpark App for your phone. I used a resale app called seatgeek.com - and I had tickets digitally transferred to the MLB ballpark app. Source: about 2 years ago
Pig, a platform/programming language for authoring parallelizable jobs. - Source: dev.to / over 2 years ago
In the early days of the Big Data era when K8s hasn't even been born yet, the common open source go-to solution was the Hadoop stack. We have written several old-fashioned Map-Reduce jobs, scripts using Pig until we came across Spark. Since then Spark has became one of the most popular data processing engines. It is very easy to start using Lighter on YARN deployments. Just run a docker with proper configuration... - Source: dev.to / over 3 years ago
Ticketmaster - At Ticketmaster, we strive to put fans first. Every day we're listening to your feedback and working to improve your experience before, during, and after events.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
StubHub - StubHub is the world’s largest ticket marketplace with tickets available for over 10 million live sports, music and theatre events in more than 40 countries.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Gametime - Last minute sports, concert and theater tickets.
Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)