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Average Ratings 0 Ratings

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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

To effectively utilize the ZetaAnalytics product, a compatible database appliance is essential for the Data Warehouse setup. Landmark has successfully validated the ZetaAnalytics software with several systems including Teradata, EMC Greenplum, and IBM Netezza; for the latest approved versions, refer to the ZetaAnalytics Release Notes. Prior to the installation and configuration of the ZetaAnalytics software, it is crucial to ensure that your Data Warehouse is fully operational and prepared for data drilling. As part of the installation, you will need to execute scripts designed to create the specific database components necessary for Zeta within the Data Warehouse, and this process will require database administrator (DBA) access. Additionally, the ZetaAnalytics product relies on Apache Hadoop for model scoring and real-time data streaming, so if an Apache Hadoop cluster isn't already set up in your environment, it must be installed before you proceed with the ZetaAnalytics installer. During the installation, you will be prompted to provide the name and port number for your Hadoop Name Server as well as the Map Reducer. It is crucial to follow these steps meticulously to ensure a successful deployment of the ZetaAnalytics product and its features.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

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

Integrations

Altair Compose
Commvault Cloud
Commvault HyperScale X
Fortinet SD-WAN
Grafana Cloud
Hadoop
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

Oracle

Founded

1977

Country

United States

Website

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

Vendor Details

Company Name

Halliburton

Website

www.halliburton.com

Product Features

Data Discovery

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

Product Features

Oil and Gas

Compliance Management
Equipment Management
Inventory Management
Job Costing
Logistics Management
Maintenance Management
Material Management
Project Management
Resource Management
Scheduling
Work Order Management

Alternatives

Alternatives

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