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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

This dynamic community is focused on advancing Big Data and Visualization software, along with promoting best practices and innovations essential for enterprises to harness the full potential of their extensive data resources. With over 98,000 members, it stands as the largest professional group for Big Data experts. Move past the buzz surrounding big data and engage with a leading community that caters to both seasoned professionals and organizations exploring the intersection of big data analytics, Hadoop, data warehousing, cloud solutions, unified data architectures, digital marketing, visualization, and business intelligence. Our aim is to unite stakeholders from various sectors, including industry, academia, and government, who share a keen interest in Big Data and Visualization methodologies, technologies, and applications. Your participation is crucial for fulfilling the community's objectives, so we invite you to join in the discussions, offer expert insights, share your learnings, and contribute your unique perspectives to enrich our collective knowledge. Together, we can drive innovation and foster collaboration in the field of big data.

Description

Regardless of the location of your data—whether in cloud environments, traditional systems, or data lakes such as Hadoop—SAS Data Management provides the tools necessary to access the information you require. You can establish data management protocols once and apply them repeatedly, allowing for a consistent and efficient approach to enhancing and unifying data without incurring extra expenses. IT professionals often find themselves managing responsibilities beyond their typical scope, but SAS Data Management empowers your business users to make data updates, adjust workflows, and conduct their own analyses, thereby allowing you to concentrate on other initiatives. Moreover, the inclusion of a comprehensive business glossary along with SAS and third-party metadata management and lineage visualization features ensures that all team members remain aligned. The integrated nature of SAS Data Management technology means you won't have to deal with a disjointed solution; rather, all components, ranging from data quality to data federation, operate within a unified architecture, providing seamless functionality. This cohesive system fosters collaboration and enhances overall productivity across your organization.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

FlashBlade//S
Rapid Insight
SAS Data Loader for Hadoop
SAS MDM
Truedat

Integrations

FlashBlade//S
Rapid Insight
SAS Data Loader for Hadoop
SAS MDM
Truedat

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

MAIA Intelligence

Founded

2006

Country

India

Website

www.maia-intelligence.com

Vendor Details

Company Name

SAS Institute

Founded

1976

Country

United States

Website

www.sas.com/en/software/data-management.html

Product Features

Business Intelligence

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Product Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

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