How to Connect Power BI to Local and Cloud PostgreSQL Databases

·1 views

A developer walkthrough demonstrates connecting Power BI Desktop to both a local PostgreSQL instance and a cloud-hosted PostgreSQL database on Aiven, highlighting key differences between the two setups. For local connections, the process is straightforward: enter localhost as the server, provide credentials, and load data with no additional configuration. Connecting to Aiven's cloud database requires downloading a CA certificate from the Aiven console and installing it into Windows' certificate store, since Power BI relies on the operating system for SSL validation rather than accepting a certificate file path directly. Once the certificate is trusted at the system level, Power BI connects to the cloud database without any further SSL prompts, making the experience nearly identical to the local setup. The core takeaway is that cloud database connectivity adds one extra trust-configuration step upfront, but once completed, it becomes invisible to the user.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

How Java For Loops Work: A Simple Beginner's Breakdown

A for loop in Java allows developers to repeat a block of code a set number of times without writing it manually each time. The loop consists of three key parts: an initialization that sets a starting counter, a condition that controls when the loop stops, and an increment that updates the counter after each cycle. In a basic example, a loop starting at zero and running while the counter stays below five will execute exactly five times. Each iteration prints the current counter value, producing output from zero through four. Understanding this structure is considered a foundational step in learning Java programming.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Developer Builds Multiplayer Game API from Cameroon After Scrapping 3D Game Dream

A software developer based in Cameroon set out to build a Free Fire-style 3D multiplayer game but abandoned the project after hitting complex architectural limits beyond what tutorials could teach. The experience prompted him to ask why embedding multiplayer games into apps requires an entire engineering team, leading him to conceive Beta Gamer, a Games-as-a-Service API. The platform allows developers to integrate real-time multiplayer games into their products without handling WebSocket architecture or game logic themselves. Building it solo was grueling — financial instability, power outages, and unreliable mobile data repeatedly halted progress, and he found no collaborators he could afford to pay. Despite pressure to ship early, he chose to build a scalable matchmaking engine correctly from the start, even though it extended the timeline significantly.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

New tools blur the line between analytical and transactional databases

Traditionally, running heavy analytical queries on the same database host as transactional workloads was considered a dangerous anti-pattern, as a single reporting query could exhaust system memory and crash core applications. Extensions like pg_lake are challenging this limitation by decoupling storage into cloud data lakes using Apache Iceberg and routing analytical workloads to an isolated background process powered by a vectorized DuckDB engine. This architecture separates the OLAP execution path from transactional operations, preventing resource contention between the two workload types. The approach involves distinct scheduling strategies, contrasting macro-distributed query engines with micro-morsel processing engines. The development signals a broader shift in data engineering toward unified platforms capable of safely handling both operational and analytical demands.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Insufficient source content to generate a reliable summary

The provided article text contains no substantive information beyond a GitHub repository link and brief description. No verifiable facts about OLAP, OLTP, or DuckDB were present in the supplied content. A meaningful and accurate summary cannot be written without fabricating details. Please provide the full article text for proper summarisation.

0 comments Read more at DEV Community