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 3 March 2026 New streaming ingestion capabilities for Qlik Open Lakehouse Qlik Open Lakehouse introduces high-throughput streaming ingestion, supporting Kafka, Kinesis, and S3. New tasks include Streaming Landing and Transform, with features like schema evolution, Iceberg optimizations, and downstream mirroring. Not available in Qlik Cloud Government. New Release Qlik 3 March 2026 Data Flow: New operations in Aggregate processor The Aggregate processor in Data Flow now offers more operations like First, Last, Minimum string, Maximum string, Median, Percentile, and Standard deviation, enhancing analytical capabilities without requiring script. New Release Qlik 3 March 2026 Styling of top bar in applications Qlik Cloud now allows customization of the top bar in applications with background and foreground color settings, enhancing app styling options. New Release Qlik
3 March 2026 New streaming ingestion capabilities for Qlik Open Lakehouse Qlik Open Lakehouse introduces high-throughput streaming ingestion, supporting Kafka, Kinesis, and S3. New tasks include Streaming Landing and Transform, with features like schema evolution, Iceberg optimizations, and downstream mirroring. Not available in Qlik Cloud Government. New Release Qlik
3 March 2026 Data Flow: New operations in Aggregate processor The Aggregate processor in Data Flow now offers more operations like First, Last, Minimum string, Maximum string, Median, Percentile, and Standard deviation, enhancing analytical capabilities without requiring script. New Release Qlik
3 March 2026 Styling of top bar in applications Qlik Cloud now allows customization of the top bar in applications with background and foreground color settings, enhancing app styling options. New Release Qlik