ShareFile
Dropbox
Google Drive
Box
Egnyte
Microsoft OneDrive for Business
Slack
FileZilla
Apache Spark
Apache Flink
Apache Airflow
Hadoop
Apache Kafka
Apache Storm
Google Cloud Dataflow
Apache Hive
ShareFile provides you with the ability to send, receive and share large business files securely. Through the ShareFile portal, you can offer your clients a personalized, company-branded and password-protected platform from which to collaborate on files.
Secure file transfer is ensured with ShareFile's high-end encryption and hurricane-protected data centers. ShareFile offers a range of tools and features to compliment your current business workflow and to ensure a seamless integration into your day-to-day operations.
ShareFile Apache SparkBased on our record, Apache Spark seems to be a lot more popular than ShareFile. While we know about 58 links to Apache Spark, we've tracked only 1 mention of ShareFile. 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.
My example was sharefile.com. I whitelisted sharefile then discover it uses "another" site for authentication. What suggestions (aside from me reading the source code which is what I've "been" doing) to ferret out all the other sites a "named" site (like sharefile.com) might also need whitelisting. Source: about 2 years ago
In this project, I'm exploring the Medallion Architecture which is a data design pattern that organizes data into different layers based on structure and/or quality. I'm creating a fictional scenario where a large enterprise that has several branches across the country. Each branch receives purchase orders from an app and deliver the goods to their customers. The enterprise wants to identify the branch that... - Source: dev.to / 5 days ago
In contrast, Databricks maintains internal forks of Spark, Delta Lake, and Unity Catalog, using the same names for both the open-source versions and the features specific to the Databricks platform. While they do provide separate documentation, online discussions often reflect confusion about how to use features in the open-source versions that only exist on the Databricks platform. This creates a "muddying of the... - Source: dev.to / 6 days ago
Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 4 months ago
Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 5 months ago
Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 6 months ago
Dropbox - Online Sync and File Sharing
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Google Drive - Access and sync your files anywhere
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Box - Box offers secure content management and collaboration for individuals, teams and businesses, enabling secure file sharing and access to your files online.
Hadoop - Open-source software for reliable, scalable, distributed computing
