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Leverage data and gain real-time insights to improve decision-making and accelerate innovation. Design and build data processing systems on Google Cloud.

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.

Take your pick from data analyst, data engineer and database engineer pathways.

Home » Courses » Google Cloud Certified » Smart Analytics & Data Management

Leverage data and gain real-time insights to improve decision-making and accelerate innovation. Design and build data processing systems on Google Cloud.

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.

Take your pick from data analyst, data engineer and database engineer pathways.

Leverage data and gain real-time insights to improve decision-making and accelerate innovation. Design and build data processing systems on Google Cloud.

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.

Take your pick from data analyst, data engineer and database engineer pathways.

  • 2 Days ILT, VILT

    Unlock the power of data with Cloud Data Fusion.

    This 2-day Google Cloud 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.

  • 3 Days ILT, VILT

    The next generation of Dataflow: Dataflow Prime, Dataflow Go, and Dataflow ML.

    This training is intended for big data practitioners who want to further their understanding of Dataflow in order to advance their data processing applications.

    Beginning with foundations, this training explains how Apache Beam and Dataflow work together to meet your data processing needs without the risk of vendor lock-in. The section on developing pipelines covers how you convert your business logic into data processing applications that can run on Dataflow.

    This training culminates with a focus on operations, which reviews the most important lessons for operating a data application on Dataflow, including monitoring, troubleshooting, testing, and reliability

  • 4 Days ILT, VILT

    Data Engineers design solutions that ensure maximum flexibility and scalability, while meeting all required security controls.

    Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning.

    This Google Cloud course covers structured, unstructured, and streaming data.

  • 3 Days ILT, VILT

    Data Analysts gather data, analyze that data and translate the results into insights to share with business stakeholders.

    Explore ways to derive insights from data at scale using BigQuery, Google Cloud’s serverless, highly scalable, and cost-effective cloud data warehouse. This GCPDI: From Data to Insights with Google Cloud course uses lectures, demos, and hands-on labs to teach you the fundamentals of BigQuery, including how to create a data transformation pipeline, build a BI dashboard, ingest new datasets, and design schemas at scale.