From the course: Build a No-Code ETL Pipeline with Google BigQuery
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Introduction to ETL and ELT pipelines - BigQuery Tutorial
From the course: Build a No-Code ETL Pipeline with Google BigQuery
Introduction to ETL and ELT pipelines
- [Instructor] Let us now learn about data pipelines. Imagine you're tasked with analyzing millions of rows of data to find critical business insights, but instead of making decisions based on this data, you are stuck in a swamp of inconsistent formats, missing values, and redundant information. How do you get from this chaos to clear insights? That's where data pipelines come in. A data pipeline is a series of processes that automate the movement and transformation of data from one place to another. It's the backbone of any data system, ensuring that data flows seamlessly from source to destination, where it can be turned into actionable insights. So what are the steps in a data pipeline? The first step is to extract raw data from various sources, such as databases or flat files. This step often requires connecting to different systems and understanding various data formats. Once extracted, the data is loaded into our system, such as BigQuery, for processing and analysis. Raw data…
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