Microsoft Azure & TimeXtender

The Fastest Way to Build Data Solutions on Microsoft Azure

Building data solutions on Microsoft Azure can be a daunting task, often involving complex workflows, manual coding, and a stack of disconnected tools. This complexity can slow down projects and drive up costs.

TimeXtender streamlines this process using metadata and advanced AI to automate workflows and help you build Azure data solutions 10x faster, while cutting costs by up to 80%.

How TimeXtender Accelerates Microsoft Azure

TimeXtender overlays and accelerates Microsoft Azure's powerful data storage platform, enhancing its capabilities by automating data workflows, ensuring data quality, and simplifying the entire process from data ingestion to delivery.

Accelerated Implementation & Automation

TimeXtender uses metadata and AI to automate data workflows on Azure, alowing you to build data solutions up to 10 times faster than traditional methods. It handles data integration, transformation, and loading, reducing the need for manual coding. This rapid automation delivers business-ready data quickly, enabling faster insights and decisions.

Cost Efficiency & Resource Optimization

TimeXtender streamlines and automates data workflows, reducing operational costs by up to 80%. By minimizing the need for a large team of specialists and optimizing data processing on Azure, it lowers both manpower and infrastructure expenses. This efficiency allows organizations to reallocate resources towards innovation and growth.

Future-Proof Flexibility & Easy Migration

TimeXtender’s technology-agnostic approach separates business logic from storage, enabling seamless deployment across Azure, Snowflake, AWS, or on-premises systems. It allows for easy migration between platforms with a single click, avoiding vendor lock-in. This adaptability ensures your infrastructure can evolve with changing business needs.

Key TimeXtender Capabilities that Enhance Azure

Low-Code Interface and AI Automation

TimeXtender’s low-code interface simplifies the process of building data solutions on Azure. It allows you to design complex data workflows through an intuitive drag-and-drop environment, eliminating the need for extensive manual coding. Combined with AI-powered automation, TimeXtender generates code for extracting, transforming, and loading data, following industry best practices. This automation speeds up implementation, reduces errors, and ensures that data solutions are built efficiently, enabling organizations to quickly deliver business-ready data on Azure.
Metadata-Driven Design

TimeXtender uses a metadata-driven approach to manage and optimize data workflows on Azure. Our Unified Metadata Framework actively collects, stores, and maintains metadata for every data asset, providing automated code generation, end-to-end orchestration, robust data lineage, automatic documentation, version control, and real-time monitoring of your entire data environment. This approach ensures that data integration is not only fast but also highly organized and governed. With automated documentation and data lineage tracking, organizations can easily maintain compliance and data quality across their Azure environment.
Seamless Integration with Azure Services

TimeXtender seamlessly integrates with key Azure services, such as Azure Data Lake Storage and Azure Synapse Analytics. It simplifies data movement and transformation across these services, ensuring that data flows smoothly through the Azure ecosystem. By automating data ingestion, transformation, and loading, TimeXtender enables a unified data management experience, making it easier to leverage Azure’s powerful analytics and storage capabilities without the complexity of managing multiple disconnected tools.
End-to-End Orchestration and Resource Management

TimeXtender provides end-to-end orchestration and resource management to optimize performance and costs on Azure. It allows you to schedule and manage not only TimeXtender Data Integration jobs but also PowerShell scripts and Azure REST API calls for precise control over Azure resources. This includes tasks like scaling up a Synapse pool or SQL database before nightly loads and scaling it back down afterward, triggering Azure Machine Learning jobs, initiating Azure Data Factory pipelines as part of your workflow, and pausing Azure Analysis Services when not in use, ensuring efficient resource utilization and significant cost savings.
Future-Proof Flexibility and Easy One-Click Migration

With its technology-agnostic design, TimeXtender Data Integration separates business logic from the storage layer, allowing for easy deployment across Azure or other environments. This flexibility means you can migrate data solutions to different storage technologies in one click, and without vendor lock-in, easily adapting to new technology advancements without the need for a complete rebuild. Whether you're migrating data from on-premises to Azure or evolving your cloud strategy, TimeXtender ensures your infrastructure remains adaptable and future-proof.

TimeXtender’s Holistic Data Suite + Microsoft Azure

Whether you need to integrate diverse data sources, manage master data, ensure data quality, or automate workflows, TimeXtender provides a comprehensive suite of tools to make your Azure environment more efficient and effective.

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TimeXtender Data Integration with Azure

TimeXtender Data Integration accelerates and enhances data projects on Microsoft Azure by utilizing AI-powered data automation to streamline the entire data lifecycle. It allows you to easily connect to and ingest data from a directory of pre-built, fully-managed data connectors, including SaaS applications, files, APIs, cloud databases, on-premises databases, and ERP systems, with additional support for any custom data source to ensure comprehensive data integration.

The drag-and-drop transformation and modeling features simplify data preparation, enabling users to transform and model their data quickly within a low-code environment. With intelligent execution techniques like incremental loading and automated data flow optimization, TimeXtender improves processing times and resource usage, ensuring an efficient and cost-effective data pipeline.

Key Features:

AI-Powered Data Automation: Streamlines the entire data lifecycle on Azure, reducing manual effort and accelerating data projects.
Universal Data Source Connectivity: Easily connects and ingests data from pre-built connectors, including SaaS applications, files, APIs, cloud databases, on-premises databases, and ERP systems, with additional support for any custom data source.
Drag-and-Drop Transformation and Modeling: Simplifies data preparation with a low-code environment, allowing for quick and easy data transformation and modeling.

TimeXtender Master Data Management with Azure

TimeXtender's Master Data Management enhances data projects on Azure by providing a single source of truth through the synchronization of key business data like customers, products, and vendors across multiple systems. This ensures consistent and accurate information, eliminating discrepancies that often arise when data is scattered across different platforms.

By centralizing this vital data, organizations can transition away from the error-prone process of managing information in Excel spreadsheets. This approach leads to more reliable data governance and streamlined operations, making data more accessible and actionable.

Key Features:

Automated Data Synchronization: Automatically syncs key business data across multiple systems, ensuring unified data consistency and reducing discrepancies.
Centralized Data Management Interface: Provides a centralized platform for managing all master data, eliminating the need for Excel spreadsheets and reducing the risk of manual errors.
Integrated Data Governance Tools: Offers built-in tools for defining and enforcing data governance policies, centralizing control and making critical business information more accessible and actionable.

TimeXtender Data Quality with Azure

TimeXtender's Data Quality product enhances data projects built on Azure by providing robust tools for data validation, cleansing, and enrichment, ensuring that only high-quality data is used for analysis and decision-making. It automates the detection and correction of data anomalies, reducing the risk of errors and improving the reliability of business insights.

TimeXtender Data Quality supports scalable and flexible data quality management, accommodating growing data volumes and diverse data sources. Additionally, the product's intuitive interface allows business users to easily monitor and manage data quality, fostering a data-empowered culture and improving overall data governance.

Key Features:

Adaptable Data Quality Rule Designer: Enables the rapid creation and implementation of new data quality controls, allowing for flexibility in maintaining high data standards.
Intelligent Alerts and Notifications: Automatically detects data quality issues and notifies users when rules are violated, ensuring quick identification and resolution of problems.
Comprehensive Data Issue Overview: Offers a centralized view of all data quality issues, providing complete transparency and making it easier to identify, address, and monitor problems promptly.

TimeXtender Orchestration for Azure

TimeXtender Orchestration enhances data projects on Azure by automating end-to-end data processing, streamlining the ingestion, preparation, and delivery of data. It provides a visual interface for analyzing data flows, allowing users to monitor and manage processes across environments with greater control and transparency.

Seamlessly integrating with TimeXtender Data Integration jobs, execution packages, and third-party tools, it provides customized notifications within the data pipeline to quickly detect and resolve issues. In addition to scheduling TimeXtender jobs, our Orchestration product can execute PowerShell scripts or Azure REST API calls, allowing you to scale, pause, resume, or trigger nearly any Azure resource precisely when needed, optimizing both performance and cost.

Key Features:

Automated Workflow Orchestration: Automates complex data workflows and manages dependencies across different technology stacks, minimizing manual intervention and errors while ensuring efficient and coordinated operations.
Visual Data Flow Analysis: Provides an intuitive visual interface for analyzing and monitoring data flows across environments, enabling users to quickly identify and resolve pipeline issues.
Optimized Resource Utilization: Efficiently allocates and manages resources for data processing tasks, reducing unnecessary usage and cutting operational costs while ensuring smooth, high-performance workflows.

Data Ingestion

TimeXtender offers universal data connectivity with its directory of pre-built, fully-managed connectors, enabling quick ingestion from a variety of sources. This includes SaaS applications like HubSpot, file types such as JSON, CSV and Delta Parquet, REST APIs, OData, on-premises databases, ERP systems, and more. TimeXtender also supports any custom data source, providing the flexibility to meet your unique requirements. Using a low-code interface, you can seamlessly ingest data into Azure Data Lake or Azure SQL Database for consistent, ready-to-analyze datasets.

Data Transformation

TimeXtender Data Integration provides a robust, low-code environment for automating complex data transformation tasks directly on Azure. Our drag-and-drop interface, powered by AI-enhanced code generation, allows you to cleanse, validate, and reshape your data effortlessly. This simplifies the data preparation process, reducing the need for manual coding and minimizing the risk of errors. With features like field transformations, conditional lookups, and automated code generation, TimeXtender ensures that your data is precisely modified and structured, making it consistent, accurate, and ready for analysis and reporting.

Data Modeling

TimeXtender enables you to design and implement semantic models, transforming complex data structures into curated data products. Using an intuitive, drag-and-drop interface, you can define relationships, hierarchies, and calculations to create a semantic layer that aligns data with familiar business concepts. These data products make it easier for business users to access, understand, and utilize data, facilitating advanced analytics and reporting across the organization.

Data Orchestration

TimeXtender automates complex data workflows on Azure, delivering seamless end-to-end orchestration from data ingestion to transformation and delivery. It provides precise control over Azure resources through PowerShell scripts and Azure REST API calls, enabling you to scale, pause, or trigger resources at the optimal moments. By leveraging intelligent execution techniques such as incremental loading and automated data flow optimization, TimeXtender improves processing times and resource utilization, resulting in a more efficient and cost-effective data pipeline. This automation effectively manages cross-technology dependencies and offers real-time monitoring, ensuring your data is always prepared for analysis, which enhances operational efficiency and supports better decision-making.

Data Migration

TimeXtender’s metadata-first abstraction of business logic enables effortless data migration to Azure Data Lake or Azure SQL Database with just one click. This portable business logic separates data transformations from the underlying storage, allowing you to seamlessly migrate data without rebuilding from scratch. Additionally, if your strategy evolves to include other cloud storage platforms or a return to on-premises storage, TimeXtender provides the capability to one-click migrate your data, ensuring flexibility and scalability for future needs. By automating the entire ELT process, TimeXtender ensures a smooth and risk-free transition to Azure, minimizing downtime and data loss. This approach provides the flexibility to move data to Azure quickly and adapt to changing technology needs.

Data Lake

TimeXtender excels at creating centralized data lakes on Azure by automating workflows and facilitating the seamless ingestion of data from a wide range of sources. We use advanced AI to optimize data flow, enabling you to efficiently process and store large volumes of both structured and unstructured data in Azure Data Lake. This centralized repository supports advanced analytics, machine learning, and AI initiatives, allowing you to leverage your data assets fully for informed decision-making. With features like incremental load and real-time execution monitoring, TimeXtender ensures that your Azure Data Lake is always up-to-date and ready for analysis.

Data Warehouse

TimeXtender streamlines the creation, modernization, and management of data warehouses on Azure SQL Database or Azure Synapse by automating the ELT process. Our low-code environment allows you to quickly design and deploy a structured repository that serves as a single source of truth for reporting and analysis. By leveraging AI and metadata, TimeXtender optimizes data processing and ensures high performance. This automation not only accelerates data warehouse development but also ensures consistent, reliable insights for your business.

Data Fabric

TimeXtender enables a data fabric architecture on Azure by integrating data across various storage options into a unified environment. Our metadata-driven approach connects on-premises, cloud, and hybrid data sources, offering a holistic view of your data landscape. This seamless framework supports data ingestion, preparation, and delivery, catering to diverse analytics and operational needs. Acting as a scalable layer over Azure, TimeXtender ensures efficient data management and facilitates informed decision-making.

Data Products

TimeXtender allows you to create and manage reusable data products by processing and refining data assets into business-ready outputs. By integrating data from multiple sources into Azure, applying transformations, and ensuring governance, these data products are structured, purpose-driven, and enriched with context, making them immediately valuable and actionable. These curated datasets support various analytical use cases, enhancing decision-making and operational efficiency across your organization. With TimeXtender, data products become easily accessible through a centralized semantic layer, aligning data with familiar business terminology for improved discoverability and usability.

Data Mesh

TimeXtender supports the implementation of a data mesh architecture by decentralizing data management, enabling domain-specific ownership and control. In this approach, data is treated as a product, with each domain team responsible for creating, maintaining, and documenting their data products. This allows teams to manage and deliver their own data products with a focus on quality, reliability, and relevance while still adhering to centralized governance standards. By leveraging TimeXtender, organizations can create cross-functional teams that handle data closer to its context, resulting in faster decision-making and improved data quality.

Analytics & Reporting

TimeXtender empowers BI professionals and analysts to easily create governed data models for any analytical use case using a low-code, drag-and-drop interface. With TimeXtender, you can build modular, reusable data flows that can be quickly adapted for dashboards and reports in tools like Power BI, Qlik, or Tableau. By allowing easy modifications and reusability of data models, TimeXtender enables analysts to focus on uncovering insights and delivering actionable results, ultimately driving more strategic decision-making within the organization.

AI & LLMs

TimeXtender simplifies the preparation of high-quality, curated data for AI and Large Language Models (LLMs) on Azure. By automating data ingestion, transformation, and quality checks, it ensures that the data used for AI training and inference is accurate, consistent, and ready for advanced analytics. This reduces the likelihood of human error and enhances the overall quality and reliability of your data, providing a strong foundation for effective AI and LLM implementations. With TimeXtender, you can optimize your data pipeline for AI and machine learning, accelerating time-to-insight and improving decision-making.

Master Data Management

TimeXtender’s Master Data Management tool serves as an ideal solution for organizations looking to move beyond Excel for managing master data. It provides a centralized and structured way to manage and unify master data without the complexities of a full data warehouse. This tool allows you to synchronize and deliver consistent, high-quality master data to Azure Data Lake or Azure SQL Database. This tool is perfect for companies in transition, offering an immediate improvement in data accuracy and reliability while laying the groundwork for more advanced data management in the future.

Data Quality

TimeXtender’s Data Quality product ensures the integrity of your data on Azure by automating data quality checks and validations. You can establish rules to continuously monitor data quality, quickly identifying and addressing anomalies to maintain consistency and accuracy. This real-time data validation process corrects issues as they arise, ensuring that your analytics are always based on reliable and trustworthy data. By maintaining high data quality standards, TimeXtender helps you achieve more accurate insights and better decision-making.

Data Lineage

TimeXtender provides comprehensive data lineage tracking by storing business logic as metadata, allowing you to trace the entire journey of data through your Azure environment. This visibility lets you track data flow from the source to its final destination, ensuring that users can verify the completeness, accuracy, and reliability of their data. TimeXtender also offers impact analysis, helping you understand how changes to data sources, fields, or transformations affect downstream processes and reports. This level of transparency supports compliance, data governance, and efficient troubleshooting, making it easier to maintain data quality and integrity across your organization.

Data Observability

TimeXtender’s Holistic Data Suite offers robust data observability through key capabilities such as real-time monitoring and visual analysis of data flows, allowing users to track and manage the performance of data pipelines across different environments. It includes automated data quality monitoring and alerting, quickly detecting anomalies and errors to ensure immediate resolution and maintain data integrity. The suite also provides continuous data validation and cleansing, ensuring that any inconsistencies are promptly corrected. Additionally, detailed data lineage tracking offers insights into data transformations and dependencies, ensuring transparency and reliability throughout the data lifecycle.

Data Governance & Security

TimeXtender enhances data governance and security on Azure through our unique, metadata-driven approach. By operating solely on metadata, TimeXtender’s Data Integration product never accesses or controls your actual data, eliminating common security risks, privacy issues, and compliance concerns associated with other tools. We provide robust access controls, allowing you to define and manage user permissions to ensure that only authorized individuals can access sensitive information. By managing metadata, applying data quality rules, and tracking data lineage, TimeXtender ensures that data remains accurate, consistent, and secure throughout its lifecycle, offering full transparency and helping your organization adhere to regulations like GDPR and HIPAA while maintaining high data quality standards.

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Microsoft Azure & TimeXtender

The Fastest Way to Build Data Solutions on Microsoft Azure

How TimeXtender Accelerates Microsoft Azure

Accelerated Implementation & Automation

Cost Efficiency & Resource Optimization

Future-Proof Flexibility & Easy Migration

Key TimeXtender Capabilities that Enhance Azure

Low-Code Interface and AI Automation

Metadata-Driven Design

Seamless Integration with Azure Services

End-to-End Orchestration and Resource Management

Future-Proof Flexibility and Easy One-Click Migration

TimeXtender’s Holistic Data Suite + Microsoft Azure

TimeXtender Data Integration with Azure

Key Features:

TimeXtender Master Data Management with Azure

Key Features:

TimeXtender Data Quality with Azure

Key Features:

TimeXtender Orchestration for Azure

Key Features:

Common Use Cases and Workflows

Data Ingestion

Data Transformation

Data Modeling

Data Orchestration

Data Migration

Data Lake

Data Warehouse

Data Fabric

Data Products

Data Mesh

Analytics & Reporting

AI & LLMs

Master Data Management

Data Quality

Data Lineage

Data Observability

Data Governance & Security

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