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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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.

Description

Since its emergence in 2010, Hadoop has established itself as a crucial component of the data management ecosystem. Throughout the past decade, a significant number of organizations have embraced Hadoop to enhance their data lake frameworks. While Hadoop provided a budget-friendly option for storing vast quantities of data in a distributed manner, it also brought forth several complications. Operating these systems demanded specialized IT skills, and the limitations of on-premises setups hindered the ability to scale according to fluctuating usage requirements. The intricacies of managing these on-premises Hadoop configurations and the associated flexibility challenges are more effectively resolved through cloud solutions. To alleviate potential risks and costs tied to data modernization initiatives, numerous businesses have opted to streamline their cloud data migration processes with WANdisco. Their LiveData Migrator serves as a completely self-service tool, eliminating the need for any WANdisco expertise or support. This approach not only simplifies migration but also empowers organizations to handle their data transitions with greater efficiency.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Microsoft Azure
Altair Compose
Amazon Web Services (AWS)
Commvault Cloud
Commvault HyperScale X
Databricks
Fortinet SD-WAN
Google Cloud Platform
Grafana Cloud
Hadoop
IBM Cloud
Oracle Cloud Infrastructure
PagerDuty
Palo Alto Networks Strata
RackWare
Scoop Analytics
Siemens Opcenter APS
VMware Cloud
VMware Tanzu CloudHealth

Integrations

Microsoft Azure
Altair Compose
Amazon Web Services (AWS)
Commvault Cloud
Commvault HyperScale X
Databricks
Fortinet SD-WAN
Google Cloud Platform
Grafana Cloud
Hadoop
IBM Cloud
Oracle Cloud Infrastructure
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

Oracle

Founded

1977

Country

United States

Website

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

Vendor Details

Company Name

WANdisco

Founded

2005

Country

United States

Website

www.wandisco.com/use-cases/cloud-migration

Product Features

Data Discovery

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

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Alternatives

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