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Cost Optimization and Data Tiering with BigLake and Cloud Storage
Google Cloud Training
Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console.
Learn to how to potentially reduce your costs by archiving data, unused tables, and partitions from BigQuery into Google Cloud Storage
Register for this course and see more details by visiting:
OpenCourser.com/course/lf5qte/cost
What's inside
Syllabus
Cost Optimization and Data Tiering with BigLake and Cloud Storage
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores cost analytics, which is standard in business
Taught by Google Cloud Training, who are recognized for their work in cloud solutions
Develops skills in data management and cost optimization, which are core skills for data analysts
Offers hands-on labs and interactive materials, which enhance learning
Covers cost optimization techniques for BigQuery, which is highly relevant to industry
Assumes learners have prior knowledge of BigQuery
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Activities
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We're preparing activities for
Cost Optimization and Data Tiering with BigLake and Cloud Storage.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Cost Optimization and Data Tiering with BigLake and Cloud Storage will develop knowledge and skills
that may be useful to these careers:
Big Data Architect
Big Data Architect
A Big Data Architect designs and maintains infrastructure for management and analysis of large data sets, which can be on premises or in the cloud. This course will help you to build a foundation in cost optimization and data tiering on Google's BigQuery, which is a leading cloud-based data management service for Big Data. Big Data engineering is a growing and in-demand field, and this course is a great way to learn how to use the tools and techniques that are essential to success in this role.
Data Engineer
Data Engineer
A Data Engineer designs and builds the systems and processes that enable an organization to collect, store, and analyze data. This course will help you develop your skills in Google's BigQuery, a leading cloud-based data management service for Big Data, which has become an essential tool for Data Engineers.
Big Data Engineer
Big Data Engineer
A Big Data Engineer designs and builds systems for managing and analyzing large amounts of data.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course will help you build a foundation in cost optimization and data tiering on Google's BigQuery, which is a leading cloud-based data management service for Big Data. Data Scientists are increasingly called upon to be able to manage and analyze large datasets, making this course an ideal stepping stone to get started in the field.
Data Analyst
Data Analyst
Data Analysts help businesses analyze data to make informed decisions. This course will help you build a foundation in cost optimization and data tiering on Google's BigQuery, which is a leading cloud-based data management service for Big Data. Data Analysts who can effectively use cost optimization and data tiering techniques are highly sought after, and this course is a great way to learn the skills that you need to get ahead in this field.
Database Administrator
Database Administrator
A Database Administrator (DBA) is responsible for the performance, security, and maintenance of a database management system. This course will help you build a foundation in cost optimization and data tiering on Google's BigQuery, a leading cloud-based data management service for Big Data. Cloud computing has become essential to the role of a DBA, and this course will help you learn the skills needed to excel in this role.
Data Architect
Data Architect
A Data Architect designs and builds data architectures for organizations. This course will help you build a foundation in cost optimization and data tiering on Google's BigQuery, a leading cloud-based data management service for Big Data. Data Architects who have experience with BigQuery are in high demand, and this course is a great way to develop the skills that you need to succeed in this role.
Cloud Architect
Cloud Architect
A Cloud Architect designs and builds cloud-based solutions for businesses. This course will help you build a foundation in cost optimization and data tiering on Google's BigQuery, a leading cloud-based data management service for Big Data. Cloud Architects who have experience with BigQuery are in high demand, and this course is a great way to develop the skills that you need to succeed in this role.
Cloud Engineer
Cloud Engineer
A Cloud Engineer designs and builds cloud-based solutions for businesses. This course will help you build a foundation in cost optimization and data tiering on Google's BigQuery, a leading cloud-based data management service for Big Data. Cloud Engineers who have experience with BigQuery are in high demand, and this course is a great way to develop the skills that you need to succeed in this role.
Data Warehouse Architect
Data Warehouse Architect
A Data Warehouse Architect designs and builds data warehouses, which are used to store and manage large amounts of data from multiple sources.
Solutions Architect
Solutions Architect
A Solutions Architect designs and implements solutions for complex business problems. This course will help you build a foundation in cost optimization and data tiering on Google's BigQuery, which is a leading cloud-based data management service for Big Data. Solutions Architects who have experience with cloud-based data management are in high demand, and this course is a great way to develop the skills that you need to succeed in this role.
Project Manager
Project Manager
A Project Manager plans, organizes, and manages projects. This course will help you build a foundation in cost optimization and data tiering on Google's BigQuery, a leading cloud-based data management service for Big Data. Project Managers who have experience with BigQuery are in high demand, and this course is a great way to develop the skills that you need to succeed in this role.
DevOps Engineer
DevOps Engineer
A DevOps Engineer designs and implements processes and tools that help to improve the collaboration between development and operations teams.
Business Analyst
Business Analyst
A Business Analyst uses data to help businesses make informed decisions.
Software Developer
Software Developer
A Software Developer designs, develops, tests, deploys, maintains, and documents software systems.
For more career information including salaries, visit:
OpenCourser.com/course/lf5qte/cost
Reading list
We've selected 13 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Cost Optimization and Data Tiering with BigLake and Cloud Storage.
Save
Provides a comprehensive overview of the principles and practices of designing and building data-intensive applications. It covers topics such as data modeling, storage, processing, and analysis, and valuable resource for anyone working with BigQuery and Cloud Storage.
Provides a comprehensive overview of data analytics with Google Cloud Platform, and covers topics such as data ingestion, processing, and analysis. It valuable resource for anyone working with BigQuery and Cloud Storage.
Provides a comprehensive overview of big data analytics, and covers topics such as data collection, storage, processing, and analysis. It valuable resource for anyone working with BigQuery and Cloud Storage.
Provides a comprehensive overview of big data, and covers topics such as data storage, processing, and analysis. It valuable resource for anyone working with BigQuery and Cloud Storage.
Provides a practical guide to data engineering on Google Cloud Platform, including best practices for data storage, processing, and analytics.
Provides a comprehensive overview of data warehousing fundamentals, design, and best practices, including topics such as data modeling, ETL, and data quality.
Provides a comprehensive guide to Hadoop, including topics such as data storage, processing, and analytics.
Provides a comprehensive guide to Spark, including topics such as data processing, machine learning, and streaming.
Provides a comprehensive overview of algorithms, including topics such as sorting, searching, and dynamic programming.
Provides a comprehensive guide to deep learning with Python, including topics such as neural networks, convolutional neural networks, and recurrent neural networks.
Provides a comprehensive overview of reinforcement learning, including topics such as Markov decision processes, value functions, and policy iteration.
Save
Provides a comprehensive overview of concrete mathematics, including topics such as combinatorics, graph theory, and number theory.
Provides a comprehensive overview of the theory of computation, including topics such as automata theory, computability theory, and complexity theory.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/lf5qte/cost
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Effort
90 minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Explores cost analytics, which is standard in business
Taught by Google Cloud Training, who are recognized for their work in cloud solutions
Develops skills in data management and cost optimization, which are core skills for data analysts
Offers hands-on labs and interactive materials, which enhance learning
Covers cost optimization techniques for BigQuery, which is highly relevant to industry
Assumes learners have prior knowledge of BigQuery
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