Prepare Data for Looker Dashboards and Reports
Earned серп. 28, 2024 EDT
Analyzing and Visualizing Data in Looker
Earned серп. 18, 2024 EDT
Build Batch Data Pipelines on Google Cloud
Earned лип. 25, 2023 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned бер. 9, 2023 EST
Google Cloud Big Data and Machine Learning Fundamentals - українська
Earned лют. 14, 2023 EST
This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure.
Learners will get hands-on practice building and managing Google Cloud resources using Terraform.
Докладніше
Курс "Знайомство з Google Cloud: основна інфраструктура" охоплює важливі поняття й терміни щодо використання Google Cloud. Переглядаючи відео й виконуючи практичні завдання, слухачі ознайомляться з різними сервісами Google Cloud для обчислень і зберігання даних, а також важливими ресурсами й інструментами для керування правилами. Крім того, вони зможуть їх порівнювати.
Докладніше
Complete the introductory Prepare Data for Looker Dashboards and Reports skill badge course to demonstrate skills in the following: filtering, sorting, and pivoting data; merging results from different Looker Explores; and using functions and operators to build Looker dashboards and reports for data analysis and visualization.
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In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
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In this intermediate course, you will learn to design, build, and optimize robust batch data pipelines on Google Cloud. Moving beyond fundamental data handling, you will explore large-scale data transformations and efficient workflow orchestration, essential for timely business intelligence and critical reporting.
Get hands-on practice using Dataflow for Apache Beam and Serverless for Apache Spark (Dataproc Serverless) for implementation, and tackle crucial considerations for data quality, monitoring, and alerting to ensure pipeline reliability and operational excellence. A basic knowledge of data warehousing, ETL/ELT, SQL, Python, and Google Cloud concepts is recommended.
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While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
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Під час курсу ви зможете ознайомитися з продуктами й сервісами Google Cloud для роботи з масивами даних і машинним навчанням, які підтримують життєвий цикл роботи з даними для тренування моделей штучного інтелекту. У курсі розглядаються процеси, проблеми й переваги створення конвеєру масиву даних і моделей машинного навчання з Vertex AI у Google Cloud.
Getting Started with Terraform for Google Cloud
Earned жовт. 14, 2024 EDT
Google Cloud Fundamentals: Core Infrastructure - Yкраїнська
Earned жовт. 11, 2024 EDT
Prepare Data for Looker Dashboards and Reports
Earned серп. 28, 2024 EDT
Analyzing and Visualizing Data in Looker
Earned серп. 18, 2024 EDT
Build Batch Data Pipelines on Google Cloud
Earned лип. 25, 2023 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned бер. 9, 2023 EST
Google Cloud Big Data and Machine Learning Fundamentals - українська
Earned лют. 14, 2023 EST