11 december 2024 TimeXtender Simplifies End-to-End Microsoft Fabric Deployments on SQL Database Deel dit bericht 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 Hoe kunnen we je ondersteunen? Barry beschikt over meer dan 20 jaar ervaring als architect, developer, trainer en auteur op het gebied van Data & Analytics. Hij is bereid om je te helpen met al je vragen. Bel ons Mail ons 17 april 2025 The 2025 Masters Summit for Qlik will be in Hamburg, Germany The Masters Summit for Qlik offers the next step in your journey towards becoming a Qlik specialist. In 3 days our team of experts, with over 50 combined years of Qlik experience in the field, will take your skills to the next level. Bitmetric Event Qlik Training 17 april 2025 Graphical transformation flow designer now supported in Qlik Cloud Government Qlik Cloud Government now supports the graphical transformation flow designer from Qlik Talend Data Integration. This no-code tool features a drag-and-drop interface for creating visual transformation flows, making it accessible for both data engineers and non-SQL experts. It offers a range of data transformation processors for cleansing and shaping datasets, and supports major data platforms like Snowflake, Databricks, and Azure Synapse Analytics. Transformation flows also support automated SQL-based capabilities such as materialization and incremental processing. New Release Qlik 17 april 2025 Transformation flows for SQL and Microsoft SQL Server now supported in Qlik Cloud Government Qlik Cloud Government now supports transformation flows for SQL and Microsoft SQL Server. The SQL Expression processor enables writing SQL expressions to process data. Users can create graphical and custom SQL-based transformations in data pipeline projects, enhancing data reshaping capabilities. New Release Qlik
17 april 2025 The 2025 Masters Summit for Qlik will be in Hamburg, Germany The Masters Summit for Qlik offers the next step in your journey towards becoming a Qlik specialist. In 3 days our team of experts, with over 50 combined years of Qlik experience in the field, will take your skills to the next level. Bitmetric Event Qlik Training
17 april 2025 Graphical transformation flow designer now supported in Qlik Cloud Government Qlik Cloud Government now supports the graphical transformation flow designer from Qlik Talend Data Integration. This no-code tool features a drag-and-drop interface for creating visual transformation flows, making it accessible for both data engineers and non-SQL experts. It offers a range of data transformation processors for cleansing and shaping datasets, and supports major data platforms like Snowflake, Databricks, and Azure Synapse Analytics. Transformation flows also support automated SQL-based capabilities such as materialization and incremental processing. New Release Qlik
17 april 2025 Transformation flows for SQL and Microsoft SQL Server now supported in Qlik Cloud Government Qlik Cloud Government now supports transformation flows for SQL and Microsoft SQL Server. The SQL Expression processor enables writing SQL expressions to process data. Users can create graphical and custom SQL-based transformations in data pipeline projects, enhancing data reshaping capabilities. New Release Qlik