Top 6 Posts
1. 10 top priorities for CIOs in 2025
My take: AI technology investments should strategically be aligned to deliver measurable commercial outcomes. To be innovative it helps if companies leverage the cloud to manage technical debt by providing the tools, platforms, and strategies to modernize outdated systems and streamline operations. Agility and innovation are no longer competitive advantages it today's technology landscape, they are necessities.
2. 20 top business intelligence tools to know about in 2025
My take: Alibaba Cloud Quick BI workbooks feature is also built into the software. It lets users filter and aggregate data for analysis in a familiar spreadsheet environment rather than having to learn a query language. Amazon QuickSight is built on a serverless architecture, enabling high scalability with minimum effort for an IT department. GoodData has built its reputation as a BI vendor that specializes in embedded analytics for building dashboards and reports into other applications.
3. 10 things software engineers should learn in 2025
My take: System design is a cornerstone for anyone aiming to excel in software engineering. With increasing demand for scalable, efficient systems, understanding how to design robust architectures is a must. Whether it's writing API documentation, tutorials, or white papers, technical writing enhances your profile while benefiting teams and end-users. If you also want to start your career in Cybersecurity in 2025 then you can develop skills in penetration testing, network security, and risk management to safeguard systems and data.
4. Fundamental philosophies Django's developers
My take: Loose coupling - Various layers of the framework shouldn't "know" about each other unless absolutely necessary. Explicit is better than implicit - Fields shouldn't assume certain behaviors based solely on the name of the field. This requires too much knowledge of the system and is prone to errors. Instead, behaviors should be based on keyword arguments and, in some cases, on the type of the field.
5. Magic Quadrant for Analytics and Business Intelligence Platforms
My take: Microsoft is a Leader in this Magic Quadrant. Its primary ABI platform, Power BI, has massive market reach and momentum through Microsoft 365, Azure and Teams integration, flexible pricing, well-above-average functionality, and an ambitious product roadmap. From monolithic to composable analytics: Tableau is improving both its technology and commercial flexibility. It has reengineered its architecture to become more composable for agility, including the newly released VizQL data service for developers, a new Tableau Pulse metrics layer on top of data sources for generative analytics experience, and a new consumption-based pricing model in its Embedded Analytics offering.
6. What is TypeScript? Strongly typed JavaScript
My take: TypeScript is particularly attractive to shops that have already invested in JavaScript for their codebase but want to make that codebase easier to maintain and extend. Since valid JavaScript is also valid TypeScript, you can gradually add TypeScript features to your existing JavaScript code rather than having to rewrite everything from scratch in a new language.