Based on our record, Apache Spark seems to be a lot more popular than Cohesity. While we know about 58 links to Apache Spark, we've tracked only 1 mention of Cohesity. 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.
Cohesity has been calling me for weeks now (and twice in the past hour) asking me to sign up for a webinar. I've had enough, and I've blocked cohesity.com from emailing anyone at my company. Source: almost 3 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 / 4 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
Veeam - Veeam develops backup, disaster recovery and virtualization management software for VMware and Hyper-V virtual environments.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Rubrik - Rubrik delivers instant application availability for recovery, search, cloud, and development.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Druva - Druva is a converged data protection solution offering data center class availability and governance for the mobile workforce.
Hadoop - Open-source software for reliable, scalable, distributed computing