Learn some key announcements of GitHub Universe hosted by Microsoft APAC in Singapore — Thank you for the amazing GitHub Universe 2022! I had the privilege to attend the watch party event hosted by Microsoft APAC in-person. We met Michelle Mannering, Developer Advocate at GitHub, presented the key announcements of GitHub Universe about cloud, AI, software security, and the open-source developer community. Also, we…

Azure Data Catalog will be retired on 30 August 2025. Migrate to Microsoft Purview by 30 August 2025 — It’s Data Governance era! Microsoft will be rolling out retirement notice as Azure Data Catalog will be retired on 30 August 2025. The action required is to migrate to Microsoft Purview by 30 August 2025. …

What are the insights you can extract from Cost Management Dashboard on Azure? — Motivation Microsoft Azure Well-Architected Framework is a set of guiding tenets that can be used to improve the quality of a workload. The framework consists of five pillars of architectural excellence: Reliability — The ability of a system to recover from failures and continue to function. Security — Protecting applications and…

How to Look Up Power BI Engineering Roadmap & Release Plan — As an Asia Technical Lead in Data & AI, I often get questions on feature requests and product roadmaps, especially what’s coming up and priorities for Microsoft Power BI. The Power BI engineering team focuses on the following priorities: Empower every individual with instantly familiar experiences and AI-infused insights. Empower…

Combine power of Microsoft Azure, Microsoft 365, Microsoft Dynamics 365, and Microsoft Power Platform for various industry verticals — What’s Microsoft Industry Clouds? In the spring of 2021, Microsoft announced the expansion and public preview of industry-specific cloud-based solutions. These industry clouds are designed to provide an easy transition for various industry verticals to move quickly to the cloud and attain faster ROI with templated workflows, APIs, and analytics through artificial intelligence and…

MLOps is still evolving. Here’s the perspectives from Amazon, Microsoft, and Google — MLOps stands for Machine Learning Operations. MLOps is a core function of Machine Learning engineering, focused on streamlining the process of taking machine learning models to production, and then maintaining and monitoring them. MLOps is a collaborative function, often comprising data scientists, devops engineers, and IT. It’s an exciting arena…

My viewpoint in Data Export Requirement Out of Power BI Datasets — Co-authors: Gananda Hayardisi, Wipada Chanthaweethip Big data architecture involves many components from data collection, data organization, data orchestration, data analysis, to data infusion, ensuring that all personas in the organization can leverage the capabilities altogether. Sometimes, business users may have extraordinary, out-of-the-norm requirements especially in the data consumption layer. …

ML Studio (classic) documentation is being retired and may not be updated in the future — In the early days of Microsoft Cloud, Microsoft launched two product offerings relevant to Machine Learning Development: Azure Machine Learning and Azure Machine Learning Studio (Classic). On some occasion, there was another tool called Azure ML Workbench to help prepare data, develop experiments, and deploy models at cloud scale. …

Is your certification expiring soon? Renew it for free today! — Few days ago, I received an email reminder from Microsoft that three of my Azure Data exams, i.e. DP-100, AI-100, and DP-200/DP-201 were going to expire soon! The criteria for Microsoft certification renewal include: Certification must not be the fundamental exams (AZ-900, DP-900, and alike are not eligible. …