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Tutorials, how-tos and deep dives on AI, .NET, C#, cloud and developer tools, written by the community.
Learn how to retrieve Jira Align REST API data, connect related portfolio entities, and prepare reliable metrics for Power BI, Tableau, or internal reporting dashboards.
Learn how to prepare for a Looker 26.20 rollout by reviewing release notes, validating LookML and dashboards, and testing scheduled reports, APIs, and embedded analytics.
Apache Gravitino unifies metadata across modern data platforms, simplifying governance, discovery, and compliance for complex data ecosystems.
Apache Gravitino: Unified metadata management for diverse data platforms. Simplify governance, enhance discovery, and unify data assets.
Discover the Data Lakehouse: a modern architecture merging data lakes & warehouses for unified analytics, ML, and BI.
Managing a data BI project can look simple from the outside: connect to data, create a model, build dashboards, and publish reports. In reality, a BI project is rarely only about dashboards. It is about business definitions, data quality, governance, architecture, adoption, security, performance and trust.
Data warehouse modeling is crucial in 2026, despite AI. Core principles remain, but must evolve with semantic layers, certified metrics, and data governance.
Learn how a semantic layer standardizes business metrics, simplifies access to complex data, and improves trust and consistency across analytics tools.
Data Reliability Engineering (DRE) ensures trustworthy data systems through monitoring, testing, and automation. Improve data quality and build trust in data!
Shift-Left Data Engineering: Improve data quality and reliability by validating early in the pipeline. Reduce failures, increase trust, and ensure accurate analytics.
Unlock data agility with Data Mesh! This guide covers principles, benefits, and implementation steps for a decentralized data architecture. Scale your data systems now!
Data versioning tracks changes in datasets over time, ensuring reproducibility, debugging, and consistency. Essential for modern data systems and ML pipelines.
Unlock data's potential! Modern metadata management drives discovery, governance, and compliance. Build a scalable strategy for enterprise success. #DataGovernance
Unlock data platform success! Learn how a modern operating model drives collaboration, governance, and value in large organizations. Avoid chaos and scale effectively.
AI governance is critical for enterprise analytics. It ensures responsible AI use, mitigates risks, and aligns AI with business goals. Learn key pillars and best practices.
Ensure data reliability with analytics observability! Monitor data health, freshness, & lineage for trustworthy insights & faster issue detection. #DataQuality
Explore Data Mesh vs. Data Lakehouse for modern data platforms. Understand their core differences in ownership, architecture, and governance to make the right choice.
Data quality issues erode trust in Power BI, leading to dashboard abandonment. Learn how to restore trust through consistency, transparency, and ownership.
Explore data engineering design patterns for building robust, scalable, and efficient data systems. Learn to solve recurring problems and optimize data workflows.
Predict stockouts & optimize inventory with AI-powered alerts! Learn to build a smart system using ASP.NET Core, SQL Server, & Angular for proactive management.
Automate email sorting with AI! This guide shows how to build an intelligent email categorization system using SQL Server, ASP.NET Core, and Angular. Boost productivity!
Master query regression profiling! Detect, diagnose, and resolve performance issues post-release with database, backend, and Angular techniques. Prevent slowdowns!
Proactively optimize SQL performance with a self-learning Workload Analyzer! Predict query cost, suggest indexing, and prevent regressions using ML models.
Predict SQL query performance with ML! Prevent slow queries, reduce database incidents, and guide efficient SQL development. Integrate into CI/CD pipelines.
Unlock the power of predictive analytics! Learn how businesses use data, machine learning, and AI to forecast trends, optimize operations, and gain a competitive edge.
Unlock efficiency with Business Process Automation (BPA)! Learn how BPA streamlines operations, boosts productivity, and transforms businesses. Real-world examples included.
Unlock data's power! This guide reveals essential Business Intelligence (BI) tools for developers in 2025, boosting skills and driving data-driven decisions.
Explore how technology is revolutionizing business models, from AI and cloud computing to automation and blockchain. Learn how students/developers can thrive!
Learn how Bill Inmon and his peers coined the term data warehouse, and explore the early evolution of ETL, automated warehouse tools, ELT, and data lakes.
Learn how to calculate the Simple Average of Price-Relative Index, a straightforward method for tracking price changes across multiple items. This article provides a step-by-step guide, Python code implementation, and a real-world example of monitoring global coffee price volatility. Discover best practices and common pitfalls to avoid for accurate and actionable insights into commodity market trends. Ideal for supply chain, finance, and data analytics professionals.
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