Expert Power BI Toolbox: Foundations & Architecture
Power BI is not PowerPoint + Excel, but a full analytics engine where your architectural choices can MAKE or BREAK your dashboards.
Technologies & Tools 🛠️ |
In this section, we dive into the modern data landscape from a tools and technologies perspective—covering everything from databases and storage to analytics and orchestration. As today’s data stacks become more intricate, it’s essential to understand the purpose and capabilities of each tool. Whether you’re an architect deciding on infrastructure or a data scientist choosing your analytics engine, selecting the right technology can make or break your project’s success.
What You’ll Find Here
- 🗄️ Databases & Storage: OLTP databases, data warehouses, lakes & lakehouses, OLAP cubes, and specialized engines for transactions and analytics.
- ⚙️ Data Processing: Data transmission formats, ETL/ELT pipelines, batch or streaming processing, and workflow orchestration.
- 💻 Analytics & Compute: Compute engines, notebooks, BI dashboards, and low-code workbenches for data prep and exploration
- 🧩 Machine Learning & AI Platforms: ML and GenAI platforms for training, deployment, monitoring, and scaling intelligent models at production level.
- 📂 Governance & Integration: Data catalogs, lineage, observability, virtualization, and master data management for trusted systems.
- 👥 Teams & Tools Maturity: How data teams evolve with tooling: from spreadsheets and scripts to modern stacks, and product-oriented practices.
Navigating the Tooling Landscape
Below is a diagram that captures many of the technologies within a modern data ecosystem.
Each box represents a key category, helping you quickly identify where a particular tool fits in your data architecture 🚀.
