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Amazon Web Services (AWS) & TimeXtender

The Fastest Way to Build Data Solutions on AWS

Building data solutions on AWS is flexible but often requires manual coding and fragmented workflows, slowing projects, increasing costs, and affecting data quality.TimeXtender uses metadata, AI, and a low-code interface to streamline data ingestion, transformation, and delivery. It integrates seamlessly with AWS, helping you build solutions 10x faster while optimizing resources and ensuring data governance.

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TX-AWS

Implement AWS 10x Faster with TimeXtender

AWS provides powerful services like Amazon S3 for data lakes and Amazon RDS for relational databases, but developing end-to-end data solutions requires stitching together multiple tools. These native tools demand extensive manual coding, careful configuration, and ongoing maintenance, leading to fragmented workflows, slow development, and rising costs. TimeXtender’s Holistic Data Suite eliminates these challenges by offering a unified, low-code platform that automates data integration, transformation, and orchestration.

DI-AWS

TimeXtender Data Integration

Automating and Simplifying Workflows, Unified Data Integration for AWS, Pre-Built Connectors, Low-Code ELT Automation, Incremental Data Loading, Automated Dimensional Modeling, Metadata-Driven Governance and Lineage

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AWS offers tools like AWS Glue for ETL, Step Functions for orchestration, and Lambda for automation. However, these services require extensive manual coding and fragmented workflows, which slows development, increases costs, and makes workflows difficult to maintain. TimeXtender Data Integration simplifies this process with a unified, low-code, metadata-driven solution that automates data ingestion, transformation, and delivery, enabling faster development and consistent workflows.

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Unified Data Integration for AWS:

Seamlessly ingest data from SaaS applications, APIs, on-premises databases, cloud platforms, and custom sources into AWS through a centralized, metadata-driven approach. This eliminates multiple tools and ensures consistent workflows.

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Pre-Built Connectors:

Access an extensive library of pre-built connectors to integrate data from a wide range of sources into AWS, eliminating custom coding and accelerating data ingestion.

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Low-Code ELT Automation:

Design ELT workflows with a drag-and-drop interface. TimeXtender automatically generates optimized SQL code for AWS, reducing reliance on manual scripting and speeding up development.

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Incremental Data Loading:

Load only new or updated data into AWS, improving performance and controlling compute costs by avoiding full data reloads.

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Automated Dimensional Modeling:

Automatically create and maintain star schemas and other dimensional models in AWS, making data ready for BI tools like Power BI, Tableau, and Qlik.

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Metadata-Driven Governance and Lineage:

Capture and document metadata across your AWS environment to automate documentation and data lineage tracking, and ensure compliance with governance policies.

MSM-AWS

TimeXtender Master Data Management

Centralizing and Governing Critical Data, Unified Master Data Management, Automated Data Synchronization, Advanced Hierarchy Management, AWS-Native Integration

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AWS provides building blocks like Amazon S3 for storage, Amazon RDS for structured data, and AWS Glue for data movement. However, AWS lacks a native, unified solution for comprehensive Master Data Management (MDM). Implementing MDM with AWS services requires complex configurations, manual coding, and orchestrating multiple tools, which can lead to inconsistent definitions, fragmented data, and higher operational costs. TimeXtender Master Data Management simplifies this complexity with a centralized, low-code solution that automates master data governance across AWS environments, ensuring accurate and consistent business entities.

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Unified Master Data Managements:

Define and manage core business entities — such as customers, products, and suppliers — in one centralized interface, eliminating the need for scattered spreadsheets, custom scripts, or manual AWS configurations.

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Automated Data Synchronization:

Ensure real-time consistency by automatically synchronizing master data across Amazon RDS, Amazon S3, and other systems, removing the need for manual updates and reducing errors.

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Advanced Hierarchy Management:

Easily create and maintain complex hierarchies and relationships within your master data, supporting accurate reporting, analytics, and business insights across your AWS environment.

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AWS-Native Integration:

Seamlessly connect with Amazon RDS and Amazon S3 to enforce master data consistency, eliminating the need to manage multiple tools like AWS Glue or Step Functions.

DQ-AWS

TimeXtender Data Quality

Ensuring High-Quality Inputs for Accurate Insights, Customizable Validation Rules, Real-Time Anomaly Detection, Continuous Data Quality Monitoring, Compliance and Audit-Ready

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AWS Glue Data Quality offers features like predefined rules, automatic recommendations, and machine learning-based anomaly detection. However, it has limitations: rule customization is primarily based on templates, anomaly detection requires careful machine learning configuration, and comprehensive monitoring across AWS services like Amazon S3 and Amazon RDS can require additional scripting and integration effort. TimeXtender Data Quality provides a complete, low-code solution with advanced automation, deeper customization, and seamless integration. It ensures your data is accurate, reliable, and compliant without the need for extensive coding or third-party tools.

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Flexible, Customizable Validation Rules:

Define and enforce tailored data quality rules using a low-code interface to validate data before it enters Amazon RDS and Amazon S3. This ensures accuracy, reduces the need for manual scripting, and prevents flawed data from impacting analytics.

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Automated, Real-Time Anomaly Detection:

Automatically detect anomalies and inconsistencies in real time, with instant alerts for prompt resolution, maintaining data integrity without manual intervention.

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Continuous Data Quality Monitoring:

Continuously monitor data quality across AWS services and other systems, ensuring clean, trustworthy data throughout your entire data lifecycle.

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Compliance and Audit-Ready:

Maintain detailed audit trails of data quality activities to support compliance with regulations like GDPR and HIPAA, ensuring transparency and accountability.

O-AWS

TimeXtender Orchestration

Automating Processes and Optimizing Resources, Low-Code Visual Workflow Designer, Unified End-to-End Workflow Automation, Dynamic Resource Optimization, Integrated Real-Time Monitoring and Alerts

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AWS tools like Step Functions for orchestration and Glue Workflows for ETL often require manual coding, complex configurations, and combining multiple services for end-to-end workflows. Maintaining these workflows increases operational complexity, inefficiencies, and costs, while Step Functions lack dynamic resource optimization for cost control. TimeXtender Orchestration is a unified, low-code solution for automating data workflows across Amazon S3, Amazon RDS, and other services. By eliminating custom scripts and fragmented tools, TimeXtender ensures efficient execution, dynamic resource management, and optimized costs.

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Low-Code Visual Workflow Designer:

Design and manage complex workflows using a drag-and-drop interface, enabling faster orchestration and minimizing reliance on manual coding.

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Unified End-to-End Workflow Automation:

Automate data ingestion, transformation, and delivery processes across Amazon S3, Amazon RDS, and other systems through a single platform, reducing the need for AWS Step Functions and custom scripts.

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Dynamic Resource Optimization:

Automatically scale AWS resources up or down based on real-time workloads, ensuring optimal performance and minimizing compute costs without manual intervention.

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Integrated Real-Time Monitoring and Alerts:

Gain real-time visibility into workflow performance and receive instant alerts for issues, enabling proactive management and quick resolution to maintain data integrity.

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See how TimeXtender streamlines AWS deployments, automates data integration and workflows, and builds a scalable, governed foundation for analytics and AI 10x faster.

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