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What is Raynet One Data Hub?
Are your IT initiatives hindered by business shortcomings resulting from inadequate or erroneous data?
Organizations often struggle to consolidate their IT asset information and extract meaningful insights from it. While data collection is feasible, the challenge lies in normalizing and enriching that data effectively. In fact, research indicates that 90% of the time, organizations can gather data but fail to convert it into clear visibility or actionable insights through effective aggregation and normalization.
With the Raynet Unified Data Platform, you gain uninterrupted access to high-quality, validated, and trustworthy data that supports informed decision-making in IT asset management. This data platform equips you with the essential insights needed to oversee and optimize your IT landscape efficiently. By using such a platform, businesses can significantly improve their operational capabilities and enhance overall performance.
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.
Integrations Supported
AWS App Mesh
AWS Marketplace
AWS Step Functions
Acryl Data
Amazon Aurora
Amazon EC2
Amazon Redshift
Amazon S3
Amazon Security Lake
CData Connect
Integrations Supported
AWS App Mesh
AWS Marketplace
AWS Step Functions
Acryl Data
Amazon Aurora
Amazon EC2
Amazon Redshift
Amazon S3
Amazon Security Lake
CData Connect
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Raynet
Date Founded
1999
Company Location
Germany
Company Website
raynet.de/raynet-one-data-hub/
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/glue
Categories and 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
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
Categories and Features
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
