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Microsoft Azure & TimeXtender

The Fastest Way to Build Data Solutions on Microsoft Azure

Building data solutions on Microsoft Azure is powerful with services like Azure Data Factory, Synapse Analytics, SQL Database, and Data Lake Storage. However, manual coding, complex integration, and fragmented workflows can slow projects and drive up costs. TimeXtender solves this with metadata and AI to streamline data ingestion, transformation, and delivery. Its low-code interface, intelligent automation, and Azure integration let you build solutions 10x faster while cutting costs by up to 80%.

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Implement Microsoft Azure 10x Faster with TimeXtender

Microsoft Azure provides a robust suite of data services, but its complexity often leads to slow, costly, and inefficient implementations. Integrating tools like Azure Data Factory, Synapse Analytics, and SQL Database typically requires specialized skills, extensive manual coding, and fragmented workflows. TimeXtender’s Holistic Data Suite simplifies these challenges, making it essential for organizations seeking to fully leverage Azure’s capabilities.

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TimeXtender Data Integration

Simplifying Complexity and Automating Workflows, Unified Data Integration into Azure Services, Extensive Library of Pre-Built Connectors, Low-Code ELT Automation, Incremental Data Loading, Automated Dimensional Modeling, Metadata-Driven Governance

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Azure’s data integration services, such as Data Factory and Synapse Pipelines, often rely on manual coding in SQL, Python, or Spark, which can lead to slow development and increased dependency on specialized developers. TimeXtender automates these processes, providing a unified and low-code approach that accelerates development while ensuring efficiency and consistency.

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Unified Data Integration into Azure Services:

Ingest data from on-premises databases, SaaS applications, APIs, cloud platforms, and custom sources into Azure SQL Database, Data Lake Storage, and Synapse Analytics using a centralized, metadata-driven approach. This eliminates the need for disparate tools and ensures consistency across all workflows​.

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Extensive Library of Pre-Built Connectors:

Leverage pre-built connectors to integrate with a wide range of data sources, eliminating custom development and speeding up data ingestion into Azure environments​.

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Low-Code ELT Automation:

Design complex ELT workflows using a drag-and-drop interface. TimeXtender automatically generates optimized T-SQL code, reducing reliance on manual coding and enabling faster, error-free development​.

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Incremental Data Loading:

Efficiently process only new or changed data, optimizing compute costs and improving performance in Azure Data Factory pipelines and SQL Database by avoiding full data reloads.

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Automated Dimensional Modeling:

Automatically build and maintain star schemas and other dimensional models in Azure SQL Database and Synapse Analytics. This ensures data is structured for efficient querying and analysis by BI tools like Power BI, Qlik, and Tableau​.

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Metadata-Driven Governance:

Automate metadata capture, documentation, and synchronization across Azure services to ensure data lineage tracking, governance, and compliance with regulations like GDPR and HIPAA​.

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TimeXtender Master Data Management

Centralizing and Governing Critical Data, Centralized Control of Master Data, Automated Master Data Synchronization, Hierarchy and Relationship Management, Seamless Automation and Integration

Learn More about TimeXtender Master Data Management →
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Azure’s native tools lack robust Master Data Management, making it hard to synchronize entities like customers and products, leading to fragmented data and manual processes. TimeXtender automates master data management across Azure SQL, Synapse, and more, ensuring accurate, consistent data for better analytics and decisions.

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Centralized Control of Master Data:

Define and manage core business entities like customers, products, and suppliers through a single interface. This eliminates the need for spreadsheets and custom scripts, ensuring consistent master data across your entire environment.

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Automated Master Data Synchronization:

Synchronize master data automatically across Azure services and other systems, reducing manual effort, ensuring records are always up-to-date and accurate, and providing a more comprehensive approach to MDM.

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Hierarchy and Relationship Management:

Create and manage complex hierarchies and relationships within your master data to support accurate analytics and reporting in Azure Synapse Analytics.

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Seamless Automation and Integration:

TimeXtender integrates smoothly with Azure services, enhancing your existing data governance framework with automated master data workflows.

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TimeXtender Data Quality

Ensuring High-Quality Inputs for Accurate Insights, Custom Data Validation Rules, Real-Time Anomaly Detection, Automated Quality Monitoring, Compliance and Audit Trails

Learn More about TimeXtender Data Quality →
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Azure’s native data quality capabilities, such as those offered by Microsoft Purview and Azure Data Factory, are limited to basic validation and monitoring. Achieving comprehensive data quality often requires custom scripts, manual checks, and integrating multiple tools, making the process inefficient and error-prone. TimeXtender simplifies and automates these processes, ensuring accurate, reliable data across your Azure environment for analytics and decision-making.

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Custom Data Validation Rules:

Define and enforce tailored data quality rules using a low-code interface to identify data issues before ingestion, ensuring that only accurate and reliable data enters your Azure environment.

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Real-Time Anomaly Detection:

Automatically detect anomalies and inconsistencies in real time, and receive immediate alerts for prompt resolution, preventing bad data from impacting downstream processes.

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Automated Quality Monitoring:

Continuously monitor data quality with automated checks and validation processes, reducing reliance on manual intervention and maintaining clean, trustworthy data throughout your workflows.

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Compliance and Audit Trails:

Maintain detailed audit trails of data quality activities and validations to support compliance with regulations like GDPR, HIPAA, and other industry standards.

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TimeXtender Orchestration

Automating Processes and Optimizing Resources, Intuitive Visual Workflow Design, End-to-End Workflow Automation, PowerShell and Custom Workflow Integration, Integrated Real-Time Monitoring and Alerts, Dynamic Resource Scaling

Learn More about TimeXtender Orchestration →
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Azure tools like Azure Automation, Logic Apps, and PowerShell support workflow orchestration, but managing complex data processes often requires extensive scripting and setup, leading to inefficiencies and fragmented workflows. TimeXtender provides a centralized, low-code solution to automate data ingestion, transformation, and delivery across Azure, simplifying orchestration, boosting efficiency, and reducing manual effort.

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Intuitive Visual Workflow Design:

Design and manage workflows with a drag-and-drop interface, simplifying orchestration and minimizing the need for custom scripting​.

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End-to-End Workflow Automation:

Automate data ingestion, transformation, and delivery workflows across Azure Data Factory, SQL Database, Synapse Analytics, and other systems, reducing manual intervention and ensuring consistency​.

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PowerShell and Custom Workflow Integration:

Extend functionality by integrating PowerShell scripts and custom workflows to handle tasks like database maintenance, job scheduling, and data movement​.

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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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Dynamic Resource Scaling:

Automatically scale compute resources like Azure SQL Database DTUs and Synapse Analytics DWUs based on real-time demands, ensuring optimal performance and cost efficiency​.

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See how TimeXtender streamlines Microsoft Azure deployments, automates data integration and Spark workflows, and builds a robust, scalable foundation for analytics and AI 10x faster.

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