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Referenda VS Google Cloud Dataproc

Compare Referenda VS Google Cloud Dataproc and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Referenda logo Referenda

Fostering a new age of digital activism

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
Not present
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Referenda videos

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Future Considerations - Referenda in Review

More videos:

  • Review - Referenda Legislative Overview
  • Review - Marriage Equality - Referenda in Review

Google Cloud Dataproc videos

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Dataproc

Category Popularity

0-100% (relative to Referenda and Google Cloud Dataproc)

Referenda

Google Cloud Dataproc

Tech
100 100%
Tech
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Politics
100 100%
Politics
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Referenda and Google Cloud Dataproc. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Google Cloud Dataproc seems to be more popular. It has been mentiond 3 times since March 2021. 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.

Referenda mentions (0)

We have not tracked any mentions of Referenda yet. Tracking of Referenda recommendations started around Mar 2021.

Google Cloud Dataproc mentions (3)

  • Connecting IPython notebook to spark master running in different machines
    I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
  • Why we don’t use Spark
    Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / about 2 years ago
  • Data processing issue
    With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago

What are some alternatives?

When comparing Referenda and Google Cloud Dataproc, you can also consider the following products

Hi From The Other Side - Meet someone who supported another candidate 🇺🇸

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Burst - Burst has thousands of hi-res photos that are free to use.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Will This Happen - Bringing (uncertain) certainty to politics

HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...

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