Apache 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, Auth0 seems to be a lot more popular than Apache Pig. While we know about 197 links to Auth0, 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.
Do not build login via email / passoword use OAuth2 instead like Google or Facebook. Too much users truncated my app after didn't receive email in first couple seconds which was a common issue on the start. I just disabled requirement to confirm an email. In next product I will use something like Auth0 from the beginning. - Source: dev.to / 3 days ago
Using an additional managed service for auth and storing your user table, like Clerk or Auth0. - Source: dev.to / 20 days ago
In authentication, Tesla notably uses Auth0, which is an interesting technical choice. Additionally, Tesla utilizes Persona for simplified and secure user identity verification and authentication processes. Persona streamlines user registration and security processes through real-time identity verification, significantly enhancing user privacy protection. These technology choices underscore Tesla's strategic... - Source: dev.to / about 1 month ago
I had the chance to play with MAUI to explore the integration with Auth0 authentication, which is based on OpenID Connect, a standard authentication protocol. However, since my first attempt around mid-2022, I immediately ran into issues on the Windows platform. - Source: dev.to / about 1 month ago
Auth0: Specializes in authentication with multi-factor authentication and anomaly detection capabilities for financial transactions. - Source: dev.to / about 2 months 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
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