Course Overview
Achieving Advanced Insights with BigQuery, the third course in this series, is available. As we explore advanced functions and how to deconstruct a large query into digestible pieces, we will build on your expanding understanding of SQL.
We'll discuss BigQuery's core architecture (column-based sharded storage) as well as more complex SQL topics like repeated and nested fields using arrays and structures. Finally, we'll discuss query performance optimization and ways to secure your data with approved views.
Afterwards, sign up for the Applying Machine Learning to your Data with Google Cloud course.
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Pre-requisites
Basic Knowledge of SQL
Audience Profile
Data Analysts, Business Analysts, and Business Intelligence professionals Cloud Data Engineers will partner with Data Analysts to create scalable data solutions on Google Cloud.
Learning Objectives
- Describe SQL's more complex BigQuery features.
- Compare how traditional databases have developed to accommodate dataset scale with how BigQuery was created to address scaling issues.
- Determine the essential tasks that affect BigQuery performance and learn how to speed up your searches.
- Find out what BigQuery and Google Cloud tools are available to you so that you can share and control permissions for your data.
Content Outline
Introduction of what you will learn in this course
Learn more complex functions including statistical approximations, analytical window queries, user-defined functions, and WITH clauses to expand your understanding of SQL on BigQuery.
The development of BigQuery to address scaling issues is compared to the evolution of how traditional databases handle dataset scale. A thorough examination of nested and repeated fields, a vital component of denormalized BigQuery data structures.
Learn how to speed up your queries by understanding the core tasks that have an impact on BigQuery performance.
We are introducing Vertex AI Workbench -- a vital tool in the Data Scientist toolkit -- which enables analysts to collaborate through the use of scalable cloud notebooks.
Securing and sharing your BigQuery datasets is critical for any organization. Learn what Google Cloud and BigQuery tools are available to you to permission control and transfer your data.
Summary of the course ley learning points
FAQs
A. BigQuery offers support for the following data analysis workflows :-
Ad hoc research
BigQuery supports ad hoc analysis using Google Standard SQL, the SQL dialect it utilises. You can execute searches using either the Google Cloud console or third-party applications that incorporate BigQuery.
Mapping analysis
You can analyse and visualise geospatial data using BigQuery thanks to its use of geography data types and Google Standard SQL geography functions. For more on these data types and functions, see Introduction to Geospatial Analytics.
Computer learning
Machine learning (ML) models can be created and used in BigQuery by using Google Standard SQL queries.
Enterprise intelligence
A quick, in-memory analysis service called BigQuery BI Engine enables you to create dynamic, rich dashboards and reports without sacrificing performance, scalability, security, or the timeliness of the data.
You can use BigQuery to query the following categories of data sources:
Information kept in BigQuery
BigQuery can be used to load data for analysis. Additionally, you can create data by writing query results into a table or by using data manipulation language (DML) instructions.
External data
You can do queries on a variety of other data sources, including database services and other Google Cloud storage options (such Cloud Storage) (like Cloud Spanner or Cloud SQL). See Introduction to external data sources for details on how to establish links with outside sources.
Number of clouds
Data residing in other public clouds, such AWS or Azure, can be queried. Read a description of BigQuery Omni Public to learn more about how to connect to Amazon S3 or Azure blob storage.
Public datasets
If you don't have your data, you can analyze any datasets available in the public dataset marketplace.
A: Radiant has highly intensive selection criteria for Technology Trainers & Consultants who deliver training programs. Our trainers & consultants undergo a rigorous technical and behavioral interview and assessment process before they are onboarded in the company.
Our Technology experts/trainers & consultants carry deep-dive knowledge in the technical subject & are certified by the OEM.
Our training programs are practically oriented with 70% – 80% hands-on training technology tools. Our training program focuses on one-on-one interaction with each participant, the latest content in the curriculum, real-time projects, and case studies during the training program.
Our faculty will quickly provide you with the knowledge of each course from the fundamental level, and you are free to ask your doubts at any time from your respective faculty.
Our trainers have the patience and ability to explain complex concepts simplistically with depth and width of knowledge.
To ensure quality learning, we provide support sessions even after the training program.
A: To attend the training session, you should have operational Desktops or Laptops with the required specification and a good internet connection to access the labs.
A: We recommend you attend the live session to practice & clarify the doubts instantly and get more value from your investment. However, if, due to some contingency, you have to skip the class, Radiant Techlearning will help you with the recorded session of that particular day. However, those recorded sessions are not meant only for personal consumption and NOT for distribution or any commercial use.
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Participants can easily access these labs over Cloud with the help of a remote desktop connection.
Radiant virtual labs allow you to learn from anywhere and in any time zone.
A: The learners will be enthralled as we engage them in the natural world and industry Oriented projects during the training program. These projects will improve your skills and knowledge and give you a better experience. These real-time projects will help you a lot in your future tasks and assignments.