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features
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support

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Description

Apache Mahout is an advanced and adaptable machine learning library that excels in processing distributed datasets efficiently. It encompasses a wide array of algorithms suitable for tasks such as classification, clustering, recommendation, and pattern mining. By integrating seamlessly with the Apache Hadoop ecosystem, Mahout utilizes MapReduce and Spark to facilitate the handling of extensive datasets. This library functions as a distributed linear algebra framework, along with a mathematically expressive Scala domain-specific language, which empowers mathematicians, statisticians, and data scientists to swiftly develop their own algorithms. While Apache Spark is the preferred built-in distributed backend, Mahout also allows for integration with other distributed systems. Matrix computations play a crucial role across numerous scientific and engineering disciplines, especially in machine learning, computer vision, and data analysis. Thus, Apache Mahout is specifically engineered to support large-scale data processing by harnessing the capabilities of both Hadoop and Spark, making it an essential tool for modern data-driven applications.

Description

Oracle Big Data Discovery is an impressively visual and user-friendly tool that harnesses the capabilities of Hadoop to swiftly convert unrefined data into actionable business insights in just minutes, eliminating the necessity for mastering complicated software or depending solely on highly trained individuals. This product enables users to effortlessly locate pertinent data sets within Hadoop, investigate the data to grasp its potential quickly, enhance and refine data for improved quality, analyze the information for fresh insights, and disseminate findings back to Hadoop for enterprise-wide utilization. By implementing BDD as the hub of your data laboratory, your organization can create a cohesive environment that facilitates the exploration of all data sources in Hadoop and the development of projects and BDD applications. Unlike conventional analytics tools, BDD allows a broader range of individuals to engage with big data, significantly reducing the time spent on loading and updating data, thereby allowing a greater focus on the actual analysis of substantial data sets. This shift not only streamlines workflows but also empowers teams to derive insights more efficiently and collaboratively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Hadoop
Altair Compose
Apache Spark
Commvault Cloud
Commvault HyperScale X
Fortinet SD-WAN
Grafana Cloud
Microsoft Azure
PagerDuty
Palo Alto Networks Strata
RackWare
Scoop Analytics
Siemens Opcenter APS
VMware Cloud
VMware Tanzu CloudHealth

Integrations

Hadoop
Altair Compose
Apache Spark
Commvault Cloud
Commvault HyperScale X
Fortinet SD-WAN
Grafana Cloud
Microsoft Azure
PagerDuty
Palo Alto Networks Strata
RackWare
Scoop Analytics
Siemens Opcenter APS
VMware Cloud
VMware Tanzu CloudHealth

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Apache Software Foundation

Country

United States

Website

mahout.apache.org

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

www.oracle.com/middleware/technologies/big-data-discovery.html

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Product Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Alternatives

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