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.
Small to medium-sized businesses, remote teams, startups, and organizations looking for a cost-effective communication and collaboration solution, particularly those who appreciate a simple and clean user interface.
Flock might be a bit more popular than Apache Pig. We know about 2 links to it since March 2021 and only 2 links to 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.
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
Flock.com — A faster way for your team to communicate. Free Unlimited Messages, Channels, Users, Apps & Integrations. - Source: dev.to / almost 4 years ago
He's coming with years of experience of having architected systems at Uber, Flock, Sumo Logic and was a founding engineer who helped design the cryptography primitives at Zeta. Someone of his caliber coming onboard means that we'll be able to ship nicer things faster. 🎉. Source: almost 4 years ago
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.
Slack - A messaging app for teams who see through the Earth!
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.
Mattermost - Mattermost is an open source alternative to Slack.
Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)
Microsoft Teams - Microsoft Teams provides the enterprise-level security, compliance and management features you expect from Office 365, including broad support for compliance standards, and eDiscovery and legal hold for channels, chats, and files.