11 December 2024 TimeXtender Simplifies End-to-End Microsoft Fabric Deployments on SQL Database Share this message TimeXtender now enables seamless, end-to-end deployments on Microsoft Fabric’s SQL Database, empowering organizations to handle diverse data needs efficiently. By integrating with Microsoft Fabric, TimeXtender streamlines data ingestion, transformation, and delivery while ensuring robust governance, compliance, and performance. Seamless Data Integration and Transformation TimeXtender’s low-code platform automates the data lifecycle with three key components: 1. Data Ingestion Effortlessly consolidate raw data from various sources into Microsoft Fabric’s OneLake. With automated workflows, TimeXtender optimizes scheduling and dependency management, ensuring efficient and reliable data ingestion from cloud, on-premises, or custom sources. 2. Data Preparation and Transformation Leverage minimal coding to cleanse, validate, and enrich data, perform advanced calculations, and build dimensional models. TimeXtender creates a single source of truth, supporting scalable analytics and consistent insights across the organization. 3. Semantic Layer Delivery Easily create version-controlled semantic models that connect directly to tools like Power BI, Qlik, and Tableau. This intuitive layer ensures full data lineage and facilitates faster decision-making through shared data understanding. Optimizing Microsoft Fabric Deployments TimeXtender accelerates Microsoft Fabric adoption by combining advanced automation with SQL Database support, delivering: AI-Driven Code Generation: Automates transformation scripts for faster development. Cost Optimization: Reduces consumption unit (CU) costs with efficient code tailored to Microsoft Fabric. Lifecycle Orchestration: Unifies ingestion, transformation, and visualization workflows. Data Quality Controls: Ensures accuracy and reliability at every stage. Secure and Scalable Workflows: Employs metadata-driven automation to protect sensitive data. Accelerated Deployment and Savings TimeXtender helps organizations implement Microsoft Fabric up to 10 times faster, cutting costs by 70–80% and simplifying transitions from traditional systems. With its user-friendly interface, it bridges skill gaps and supports rapid deployment of lakehouses, SQL databases, and analytics solutions tailored to business needs. Flexible, Future-Ready Architectures TimeXtender’s dual-path approach—supporting both SQL Database and Lakehouse deployments in Microsoft Fabric—offers: Deployment Flexibility: Choose the architecture that suits your needs today while ensuring seamless transitions as priorities evolve. Cost and Performance Optimization: Benchmark and adjust deployments for efficiency. Effortless Migration: Develop once and switch between SQL Database and Lakehouse models without rebuilding. This adaptable strategy ensures your data architecture evolves alongside your business, delivering efficiency, scalability, and lasting performance. More about TimeXtender: Data Integration Master Data Management Data Quality Orchestration TimeXtender How can we help? Barry has over 20 years experience as a Data & Analytics architect, developer, trainer and author. He will gladly help you with any questions you may have. Call us Mail us 11 December 2025 Dynamic reload engines for all reloads Qlik Cloud now offers dynamic reload engines for all reloads, providing dedicated processing power for both small and large apps. This enhancement ensures a more consistent and predictable experience, especially for app developers. New Release Qlik 11 December 2025 Sheet templates in Qlik Cloud Qlik Cloud introduces Sheet templates to speed up dashboard creation. Start from proven layouts, choose from multiple options, and preview templates as wireframes. Build impactful dashboards quickly, whether you’re new or experienced. Learn more about using templates. New Release Qlik 11 December 2025 Charts reorganization Qlik Cloud has reorganized charts in the assets panel into three categories: Visualizations, Dashboard objects, and Legacy. Additionally, visualizations from Qlik Visualization and Dashboard Bundles are now integrated into Charts for faster access. New Release Qlik
11 December 2025 Dynamic reload engines for all reloads Qlik Cloud now offers dynamic reload engines for all reloads, providing dedicated processing power for both small and large apps. This enhancement ensures a more consistent and predictable experience, especially for app developers. New Release Qlik
11 December 2025 Sheet templates in Qlik Cloud Qlik Cloud introduces Sheet templates to speed up dashboard creation. Start from proven layouts, choose from multiple options, and preview templates as wireframes. Build impactful dashboards quickly, whether you’re new or experienced. Learn more about using templates. New Release Qlik
11 December 2025 Charts reorganization Qlik Cloud has reorganized charts in the assets panel into three categories: Visualizations, Dashboard objects, and Legacy. Additionally, visualizations from Qlik Visualization and Dashboard Bundles are now integrated into Charts for faster access. New Release Qlik