Section 2: Building Solutions with GCP Components

This part will talk about leveraging GCP products to support storage systems, pipelines, and infrastructure in a production environment. It will also cover common operations, such as data ingestion, data cleansing, transformation, and integrating data with other sources. By the end of this part, you will have acquired the practical knowledge to build efficient ETL data pipelines via GCP.

This section comprises the following chapters:

• Chapter 3, Building a Data Warehouse in BigQuery
• Chapter 4, Building Orchestration for Batch Data Loading Using Cloud Composer
• Chapter 5, Building a Data Lake Using Dataproc
• Chapter 6, Processing Streaming Data with Pub/Sub and Dataflow
• Chapter 7, Visualizing Data for Making Data-Driven Decisions with Data Studio
• Chapter 8, Building Machine Learning Solutions on Google Cloud Platform