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Microsoft Fabric & TimeXtender

The Fastest Way to Build Data Solutions on Microsoft Fabric

Building data solutions on Microsoft Fabric offers great potential but often brings complexity. Users encounter numerous tools, coding requirements, and intricate workflows that can delay projects and increase costs.

TimeXtender eliminates this complexity by leveraging metadata and advanced AI to streamline every stage of the process—from data ingestion to transformation and delivery. With a low-code interface, automation, and integration with Fabric's architecture, TimeXtender helps build data solutions up to 10 times faster while reducing costs by up to 80%.

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Implement Microsoft Fabric 10x Faster with TimeXtender

Microsoft Fabric offers immense potential, but its complexity often leads to slow, costly, and inefficient implementations. TimeXtender’s holistic suite of products are specifically designed to address Fabric’s most pressing challenges, making them indispensable for any organization seeking to maximize the platform's capabilities.

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TimeXtender Data Integration

Pre-Built Frameworks, Automated Data Ingestion, Incremental Loading, Low-Code Transformation, Automated Code Generation, Spark Notebook Generation, Delta Parquet Optimization, Seamless Semantic Layer Integration, Comprehensive Metadata Management

Microsoft Fabric requires expertise in Spark, Delta Parquet, and multiple ingestion tools, creating a steep learning curve. TimeXtender eliminates these barriers by automating the creation of optimized data flows with minimal manual intervention.

Learn More about TimeXtender Data Integration →
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Pre-Built Frameworks:

Provides pre-defined workflows and templates for ingesting, transforming, and delivering data within Fabric, eliminating the guesswork and risks of starting from scratch​​.

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Automated Data Ingestion and Incremental Loading:

Ingests raw data from any source—SaaS apps, APIs, on-premises systems, and custom sources—while automating incremental updates to reduce processing times, optimize compute unit (CU) consumption, and ensure cost-effective, high-performance data flows.

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Low-Code Transformation with Code Generation:

Empowers users to perform complex data transformations through a low-code interface while automatically generating optimized Spark and Delta Lake code, eliminating the need for deep technical expertise in Fabric’s tools.

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Spark Notebook Generation:

TimeXtender generates persistent Spark notebooks for each deployed table, enabling consistent, reusable, and scalable data workflows.

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Delta Parquet Optimization:

TimeXtender supports creating Delta Parquet tables for Fabric Lakehouse and intelligently uses shortcuts to avoid redundant data storage, optimizing performance.

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Seamless Semantic Layer Integration:

TimeXtender automatically delivers data products through a version-controlled semantic layer that connects to Power BI, Tableau, and Qlik for intuitive analysis and reporting​​.

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Comprehensive Metadata Management:

Automates lineage tracking, documentation, and metadata synchronization across Fabric environments, ensuring consistency and governance.

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TimeXtender Master Data Management

Data Synchronization Across Environments, Centralized Control, Built-In Governance Policies

Fabric lacks native master data management tools, which can lead to fragmented, inconsistent datasets. TimeXtender establishes a single source of truth for business-critical entities, ensuring data consistency and alignment.

Learn More about TimeXtender Master Data Management →
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Data Synchronization Across Environments:

Synchronizes core business data—such as customers, products, and vendors—across Fabric Lakehouse, SQL Database, and external systems, ensuring consistency and accuracy across all environments.

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Centralized Control

Provides a unified interface for managing master data, eliminating error-prone spreadsheets and ad-hoc data handling, and ensuring consistency, accuracy, and governance across the organization.

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Built-In Governance Policies:

Includes tools to define and enforce data standards, ensuring regulatory compliance and high-quality analytics.

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TimeXtender Data Quality

Reliable Analytics, Rule-Based Validation, End-to-End Monitoring, Automated Alerts

Data quality issues can compromise the reliability of analytics in Fabric. TimeXtender integrates at every stage of the data lifecycle to ensure accuracy and trustworthiness.

Learn More about TimeXtender Data Quality →
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Reliable Analytics:

Ensures that every dataset entering Microsoft Fabric is accurate, consistent, and ready for analysis​​.

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Rule-Based Validation:

Allows users to define and implement data quality rules for validation, cleansing, and enrichment​​.

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End-to-End Monitoring:

Centralized dashboards provide a real-time view of data quality issues across Fabric, enabling teams to maintain high standards​​.

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Automated Alerts:

Automates the detection of data inconsistencies and sends alerts for quick resolution, preventing errors from propagating downstream​​.

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TimeXtender Orchestration

Automatic End-to-End Orchestration, Enhanced Workflow Observability, Cloud Cost Optimization, Notebook and API Integration

Fabric requires manual scaling and resource management, which can lead to inefficiencies and unnecessary costs. TimeXtender automates these processes, providing visibility and control over every stage of the data lifecycle.

Learn More about TimeXtender Orchestration →
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Automatic End-to-End Orchestration:

Orchestrates data ingestion, transformation, and delivery, eliminating the need for manual oversight of complex pipelines​​.

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Enhanced Workflow Observability:

Offers an intuitive visual interface to monitor, analyze, and manage data flows, providing full transparency and control over pipeline operations.

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Cloud Cost Optimization:

Dynamically scales compute resources up or down, triggers workflows, and turns resources off when idle, optimizing CU usage and reducing operational costs​​.

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Notebook and API Integration:

Easily triggers Spark-based Fabric notebooks and external APIs to support advanced workflows, including machine learning and complex transformations, for extended functionality.

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Ready to See TimeXtender in Action?

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

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