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Amazon EMR VS Data Warehouses by Segment

Compare Amazon EMR VS Data Warehouses by Segment and see what are their differences

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

Amazon EMR logo Amazon EMR

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

Data Warehouses by Segment logo Data Warehouses by Segment

All your analytics in a Redshift or Postgres DW in minutes
  • Amazon EMR Landing page
    Landing page //
    2023-04-02
  • Data Warehouses by Segment Landing page
    Landing page //
    2023-05-10

Amazon EMR videos

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Amazon EMR Masterclass

More videos:

  • Review - Deep Dive into What’s New in Amazon EMR - AWS Online Tech Talks
  • Tutorial - How to use Apache Hive and DynamoDB using Amazon EMR

Data Warehouses by Segment videos

No Data Warehouses by Segment videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Amazon EMR and Data Warehouses by Segment)

Amazon EMR

Data Warehouses by Segment

Data Dashboard
100 100%
Data Dashboard
0% 0
Analytics
0 0%
Analytics
100% 100
Big Data
100 100%
Big Data
0% 0
Customer Data Platform
0 0%
Customer Data Platform
100% 100

User comments

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Social recommendations and mentions

Based on our record, Amazon EMR seems to be more popular. It has been mentiond 10 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.

Amazon EMR mentions (10)

  • 5 Best Practices For Data Integration To Boost ROI And Efficiency
    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 1 year ago
  • What compute service i should use? Advice for a duck-tape kind of guy
    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: almost 2 years ago
  • Processing a large text file containing millions of records.
    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: about 2 years ago
  • How to use Spark and Pandas to prepare big data
    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 / over 2 years ago
  • Beginner building a Hadoop cluster
    Check out https://aws.amazon.com/emr/. Source: about 2 years ago
View more

Data Warehouses by Segment mentions (0)

We have not tracked any mentions of Data Warehouses by Segment yet. Tracking of Data Warehouses by Segment recommendations started around Mar 2021.

What are some alternatives?

When comparing Amazon EMR and Data Warehouses by Segment, you can also consider the following products

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

Segment - We make customer data simple.

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Segment Sources - Load CRM, billing, and other cloud data to your Warehouse

Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

Meta Hunt - Everything you ever wanted to know about Product Hunt

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