I completed the “Creating a Streaming Data Pipeline for a Real-Time Dashboard with Dataflow” lab on Qwiklabs. In this lab, I took on the role of a proud owner of a fleet of New York City taxi cabs, driven by the ambition to monitor my business's performance in real time.

The journey was a bit scary and captivating as I built a dynamic streaming data pipeline to capture crucial metrics like taxi revenue, passenger count, ride status, and more. It was my first time using Dataflow and Looker Studio.

Here are some of the key takeaways from this experience:
🔹 Created a Dataflow job from a template, empowering me to effortlessly process vast volumes of streaming data.
🔹 Subscribed to a Pub/Sub topic, ensuring I never missed a beat in the fast-paced world of taxi operations.

🔹 Streamed the Dataflow pipeline into BigQuery.
🔹 Monitored the Dataflow pipeline in BigQuery, gaining valuable insights into its performance and efficiency.
🔹 Analyzed results with SQL, revealing trends within the taxi data that fueled informed decision-making.

🔹 Visualized key metrics in the enchanting realm of Looker Studio, creating captivating and interactive dashboards that brought my data to life.

#Dataflow #LookerStudio #GoogleCloud #Dataengineering #BigQuery