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What is SAS Federation Server?

Create federated identifiers for source data to enable users to effortlessly connect to diverse data sources. Implement a web-based administrative interface to facilitate the management of user permissions, access levels, and authorizations for improved oversight. Integrate enhancements for data quality, such as generating match-codes and implementing parsing functions, to guarantee data integrity. Boost overall performance by utilizing in-memory caching and effective scheduling techniques. Safeguard sensitive data through advanced masking and encryption strategies. This methodology ensures that application queries remain current and accessible to users while reducing the load on operational systems. You can configure access rights at various levels—catalog, schema, table, column, and row—providing customized security solutions. The sophisticated features for data masking and encryption not only control visibility but also dictate the specific elements of data that users can view, significantly minimizing the likelihood of sensitive information breaches. In conclusion, these integrated functionalities work in harmony to cultivate a secure and highly efficient data management framework that caters to the needs of users while maintaining stringent security standards.

What is AWS Glue?

AWS Glue is a fully managed, serverless solution tailored for data integration, facilitating the easy discovery, preparation, and merging of data for a variety of applications, including analytics, machine learning, and software development. The service incorporates all essential functionalities for effective data integration, allowing users to conduct data analysis and utilize insights in a matter of minutes, significantly reducing the timeline from months to mere moments. The data integration workflow comprises several stages, such as identifying and extracting data from multiple sources, followed by the processes of enhancing, cleaning, normalizing, and merging the data before it is systematically organized in databases, data warehouses, and data lakes. Various users, each with their specific tools, typically oversee these distinct responsibilities, ensuring a comprehensive approach to data management. By operating within a serverless framework, AWS Glue removes the burden of infrastructure management from its users, as it automatically provisions, configures, and scales the necessary resources for executing data integration tasks. This feature allows organizations to concentrate on gleaning insights from their data instead of grappling with operational challenges. In addition to streamlining data workflows, AWS Glue also fosters collaboration and productivity among teams, enabling businesses to respond swiftly to changing data needs. The overall efficiency gained through this service positions companies to thrive in today’s data-driven environment.

Media

Media

Integrations Supported

Apache Hive

Integrations Supported

Amazon RDS
Amazon S3
Amazon SageMaker Feature Store
Amazon Security Lake
Amundsen
Causal
DataHub
FairCom DB
FairCom EDGE
New Relic
Pendula
Secoda
Select Star
Snowflake CoCo
Tokern
Tonic Ephemeral
TrustLogix
Unity Catalog
kPow

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SAS

Date Founded

1976

Company Location

United States

Company Website

www.sas.com/en_us/software/federation-server.html

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/glue/

Categories and Features

Data Virtualization

Not specified

Categories and Features

Data Catalog

Not specified

Data Discovery

Not specified

Data Integration

Not specified

Data Preparation

Not specified

Data Virtualization

Not specified

ETL

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

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