Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Google Cloud BigQuery Reviews & Ratings
    4.5 out of 5 stars 2,027 Ratings
    Company Website for Google Cloud BigQuery
  • TIMi Reviews & Ratings
    4.9 out of 5 stars 68 Ratings
    Company Website for TIMi
  • Sage Intacct Reviews & Ratings
    4.3 out of 5 stars 8,791 Ratings
    Company Website for Sage Intacct
  • FinOpsly Reviews & Ratings
    4.7 out of 5 stars 3 Ratings
    Company Website for FinOpsly
  • Flowlens Reviews & Ratings
    4.8 out of 5 stars 40 Ratings
    Company Website for Flowlens
  • BackUp Maker Reviews & Ratings
    5.0 out of 5 stars 20 Ratings
    Company Website for BackUp Maker
  • Denodo Reviews & Ratings
    4.6 out of 5 stars 388 Ratings
    Company Website for Denodo
  • Plauti Reviews & Ratings
    4.4 out of 5 stars 123 Ratings
    Company Website for Plauti
  • SCIKIQ Reviews & Ratings
    4.6 out of 5 stars 14 Ratings
    Company Website for SCIKIQ
  • Zahara Reviews & Ratings
    4.4 out of 5 stars 34 Ratings
    Company Website for Zahara

What is Amazon SageMaker Data Wrangler?

Amazon SageMaker Data Wrangler dramatically reduces the time necessary for data collection and preparation for machine learning, transforming a multi-week process into mere minutes. By employing SageMaker Data Wrangler, users can simplify the data preparation and feature engineering stages, efficiently managing every component of the workflow—ranging from selecting, cleaning, exploring, visualizing, to processing large datasets—all within a cohesive visual interface. With the ability to query desired data from a wide variety of sources using SQL, rapid data importation becomes possible. After this, the Data Quality and Insights report can be utilized to automatically evaluate the integrity of your data, identifying any anomalies like duplicate entries and potential target leakage problems. Additionally, SageMaker Data Wrangler provides over 300 pre-built data transformations, facilitating swift modifications without requiring any coding skills. Upon completion of data preparation, users can scale their workflows to manage entire datasets through SageMaker's data processing capabilities, which ultimately supports the training, tuning, and deployment of machine learning models. This all-encompassing tool not only boosts productivity but also enables users to concentrate on effectively constructing and enhancing their models. As a result, the overall machine learning workflow becomes smoother and more efficient, paving the way for better outcomes in data-driven projects.

What is Amazon EMR?

Amazon EMR is recognized as a top-tier cloud-based big data platform that efficiently manages vast datasets by utilizing a range of open-source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. This innovative platform allows users to perform Petabyte-scale analytics at a fraction of the cost associated with traditional on-premises solutions, delivering outcomes that can be over three times faster than standard Apache Spark tasks. For short-term projects, it offers the convenience of quickly starting and stopping clusters, ensuring you only pay for the time you actually use. In addition, for longer-term workloads, EMR supports the creation of highly available clusters that can automatically scale to meet changing demands. Moreover, if you already have established open-source tools like Apache Spark and Apache Hive, you can implement EMR on AWS Outposts to ensure seamless integration. Users also have access to various open-source machine learning frameworks, including Apache Spark MLlib, TensorFlow, and Apache MXNet, catering to their data analysis requirements. The platform's capabilities are further enhanced by seamless integration with Amazon SageMaker Studio, which facilitates comprehensive model training, analysis, and reporting. Consequently, Amazon EMR emerges as a flexible and economically viable choice for executing large-scale data operations in the cloud, making it an ideal option for organizations looking to optimize their data management strategies.

Media

Media

Integrations Supported

Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Apache Spark
Amazon Redshift
Amazon Web Services (AWS)
Apache Parquet
Meta Ads

Integrations Supported

Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Apache Spark
AWS Data Exchange
AWS Step Functions
Apache HBase
Apache Hive
Hadoop
IBM watsonx.data integration
Lyftrondata
Pelanor
Privacera
Tecton
Tonic Ephemeral
Zepl

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/data-wrangler/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/emr/

Categories and Features

Data Preparation

Not specified

Machine Learning

Not specified

Categories and Features

Big Data

Not specified

Popular Alternatives

Popular Alternatives

AWS Glue Reviews & Ratings

AWS Glue

Amazon
Amazon Athena Reviews & Ratings

Amazon Athena

Amazon
4.5 out of 5 stars
E-MapReduce Reviews & Ratings

E-MapReduce

Alibaba