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ease
features
design
support

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Description

AWS Glue is a fully managed data integration solution that simplifies the process of discovering, preparing, and merging data for purposes such as analytics, machine learning, and application development. By offering all the necessary tools for data integration, AWS Glue enables users to begin analyzing their data and leveraging it for insights within minutes rather than taking months. The concept of data integration encompasses various activities like identifying and extracting data from multiple sources, enhancing, cleaning, normalizing, and consolidating that data, as well as organizing and loading it into databases, data warehouses, and data lakes. Different users, each utilizing various tools, often manage these tasks. Operating within a serverless environment, AWS Glue eliminates the need for infrastructure management, automatically provisioning, configuring, and scaling the resources essential for executing data integration jobs. This efficiency allows organizations to focus more on data-driven decision-making without the overhead of manual resource management.

Description

Combine master data management solutions with those found in SAS 9.4, where SAS MDM operates as a web-based interface accessible via the SAS Data Management Console. This system delivers a cohesive and precise representation of organizational data by consolidating information from multiple sources into a singular master record. Additionally, SAS® Data Remediation and SAS® Task Manager synergistically enhance SAS MDM's capabilities, as well as those of other SAS products, including SAS® Data Management and SAS® Data Quality. Through SAS Data Remediation, users can address and rectify issues arising from business rules in both batch jobs and real-time processes within SAS MDM. Meanwhile, SAS Task Manager serves as a supportive tool that integrates seamlessly with SAS Workflow technologies, allowing users to manage workflows initiated by other SAS applications with ease. By enabling the initiation, cessation, and transition of workflows uploaded to the SAS Workflow server, this ecosystem empowers organizations to maintain efficient data management practices. Overall, the integration of these technologies creates a robust framework for handling master data effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS App Mesh
AWS Step Functions
Amazon DataZone
Amazon EC2
Amazon RDS
Amazon S3 Express One Zone
Amazon SageMaker Feature Store
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amundsen
DataHub
Hadoop
Pendula
SAS Anti-Money Laundering
SAS Business Intelligence
SAS Business Rules Manager
Secoda
Select Star
Tokern
Varada

Integrations

AWS App Mesh
AWS Step Functions
Amazon DataZone
Amazon EC2
Amazon RDS
Amazon S3 Express One Zone
Amazon SageMaker Feature Store
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amundsen
DataHub
Hadoop
Pendula
SAS Anti-Money Laundering
SAS Business Intelligence
SAS Business Rules Manager
Secoda
Select Star
Tokern
Varada

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

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/glue/

Vendor Details

Company Name

SAS

Founded

1976

Country

United States

Website

support.sas.com/en/software/mdm-support.html

Product Features

Data Discovery

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

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Product Features

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

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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