When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
This 2-day course introduces learners to Google Cloud’s data integration capability using Cloud Data Fusion. In this course, we discuss challenges with data integration and the need for a data...
Read MoreThis 2-day course introduces learners to Google Cloud’s data integration capability using Cloud Data Fusion. In this course, we discuss challenges with data integration and the need for a data integration platform (middleware). We then discuss how Cloud Data Fusion can help to effectively integrate data from a variety of sources and formats and generate insights. We take a look at Cloud Data Fusion’s main components and how they work, how to process batch data and real time streaming data with visual pipeline design, rich tracking of metadata and data lineage, and how to deploy data pipelines on various execution engines.
Completed “Big Data and Machine Learning Fundamentals”
Introduction
Introduction to data integration and Cloud Data Fusion
Building pipelines
Designing complex pipelines
Pipeline execution environment
Building Transformations and Preparing Data with Wrangler
Connectors and streaming pipelines
Metadata and data lineage
Summary