Member since 2022
Understanding LookML in Looker
Earned Nis 22, 2022 EDT
Analyzing and Visualizing Data in Looker
Earned Nis 18, 2022 EDT
Achieving Advanced Insights with BigQuery
Earned Nis 15, 2022 EDT
Creating New BigQuery Datasets and Visualizing Insights
Earned Nis 15, 2022 EDT
Exploring and Preparing your Data with BigQuery
Earned Nis 10, 2022 EDT
Insights from Data with BigQuery
Earned Nis 1, 2022 EDT
In this quest, you will get hands-on experience with LookML in Looker. You will learn how to write LookML code to create new dimensions and measures, create derived tables and join them to Explores, filter Explores, and define caching policies in LookML.
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.
The third course in this course series is Achieving Advanced Insights with BigQuery. Here we will build on your growing knowledge of SQL as we dive into advanced functions and how to break apart a complex query into manageable steps. We will cover the internal architecture of BigQuery (column-based sharded storage) and advanced SQL topics like nested and repeated fields through the use of Arrays and Structs. Lastly we will dive into optimizing your queries for performance and how you can secure your data through authorized views. After completing this course, enroll in the Applying Machine Learning to your Data with Google Cloud course.
This is the second course in the Data to Insights course series. Here we will cover how to ingest new external datasets into BigQuery and visualize them with Looker Studio. We will also cover intermediate SQL concepts like multi-table JOINs and UNIONs which will allow you to analyze data across multiple data sources. Note: Even if you have a background in SQL, there are BigQuery specifics (like handling query cache and table wildcards) that may be new to you. After completing this course, enroll in the Achieving Advanced Insights with BigQuery course.
In this course, we see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Dataprep to analyze and transform your datasets. This is the first course of the From Data to Insights with Google Cloud series. After completing this course, enroll in the Creating New BigQuery Datasets and Visualizing Insights course.
Veri analizi girişimlerinizi, veritabanı donanımını yönetme zahmeti olmadan ölçeklemek mi istiyorsunuz? BigQuery laboratuvarlarından oluşan bu etkileşimli seride, veri ambarınızı sorgulama ve veri ambarınızla ilişkili analizleri alma konusunda en iyi uygulamaları öğrenebilirsiniz. BigQuery, Google’ın tümüyle yönetilen, NoOps özellikli, düşük maliyetli analitik veritabanıdır. BigQuery ile terabaytlarca veriyi, yönetilmesi gereken bir altyapıya ya da bir veritabanı yöneticisine ihtiyaç duymadan sorgulayabilirsiniz. SQL kullanan BigQuery’de, kullandıkça öde modelinin avantajlarından yararlanabilirsiniz. Ayrıca BigQuery, anlamlı bulgular elde edebilmeniz için veri analizine odaklanmanıza olanak sağlar. Bu görevi, görev sonundaki yarışma laboratuvarı da dahil olmak üzere tamamladığınızda, size özel bir Google Cloud dijital rozetine hak kazanırsınız.