
Amazon EMR
Google BigQuery
Google Cloud Dataflow
Google Cloud Dataproc
Qubole
Snowflake
HortonWorks Data Platform
Databricks
GitHub Student Developer Pack
Frontend Masters
GitHub
LaunchKit - Open Source
LeetCode
FreeForStudents
GitHub Marketplace
Z-Lib
Amazon EMR is recommended for data engineers, data scientists, and IT professionals who need to manage and process large datasets in a scalable, efficient, and cost-effective manner. It is especially suitable for businesses that are already using AWS services and want to leverage a tightly integrated ecosystem. Additionally, it is a good choice for organizations that require rapid and flexible data analysis capabilities provided by frameworks such as Hadoop, Spark, HBase, and Presto.
Based on our record, GitHub Student Developer Pack seems to be a lot more popular than Amazon EMR. While we know about 194 links to GitHub Student Developer Pack, we've tracked only 10 mentions of Amazon EMR. 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.
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: over 3 years ago
I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: about 4 years ago
This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: over 4 years ago
Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / almost 5 years ago
Check out https://aws.amazon.com/emr/. Source: over 4 years ago
GitHub Education — Collection of free services for students. Registration required. - Source: dev.to / over 2 years ago
Validate your student status through the GitHub Student Developer Pack. - Source: dev.to / over 2 years ago
See all benefits here : https://education.github.com/pack Sign up here : https://education.github.com/. Source: over 2 years ago
FREE GitHub Pro while you are a student ✓Valuable GitHub Student Developer Pack partner offers +30 companies ✓GitHub Campus Expert training for qualified applicants. Source: over 2 years ago
GitHub: The GitHub Student Developer Pack has over 80 different free or discounted services, like cloud hosting, professional IDEs, and basically anything you might use to make a tech project. It takes a few days to get your student status verified. Source: almost 3 years ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Frontend Masters - Frontend Masters offers frontend engineering courses.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
LaunchKit - Open Source - A popular suite of developer tools, now 100% open source.