The need for data analysis skills grew by 86% from 2013 to 2018. Become data-driven with Google Cloud. Leverage data and gain real-time insights that improve your decision-making and accelerate innovation. Learn how to design and build data processing systems.
Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Data to Insights in Google Cloud features interactive scenarios and hands-on labs where you can explore, mine, load, visualize, and extract insights from diverse BigQuery datasets.
Get started with big data and machine learning. This course provides an introduction to Google Cloud capabilities and a deeper dive of the data processing capabilities.
This course is recommended for Data and Business Analysts interested in getting started in developing data engineering skills.
Get an introduction to designing data processing systems, building end-to-end data pipelines, and analyzing data. You'll learn how to lift and shift Hadoop workloads using Dataproc, process batch and streaming data on Dataflow, manage data pipelines with Data Fusion and Cloud Composer, derive business insights using BigQuery, use pre-built APIs, and build machine learning models using BigQuery ML.
You can start preparing for your Professional Data Engineer certification exam and further your ability to collect, transform, and publish data to help organizations make data-driven decisions as a Data Engineer with this course. This course alone will not prepare you to pass the Professional Data Engineer certification exam, but it will deepen your understanding of the areas covered by the exam and help you navigate the other preparation resources recommended by Google Cloud.
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