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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will provision a MongoDB Atlas cluster, create a dataflow pipeline to load data from the cluster to BigQuery

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What's inside

Syllabus

Configuring MongoDB Atlas with BigQuery Dataflow Templates

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches skills and knowledge that are highly relevant to industry
Is a self-paced lab in the Google Cloud console
Develops skills in data loading from MongoDB Atlas to BigQuery using BigQuery Dataflow Templates
Targeting data engineers and developers looking to load data from MongoDB to BigQuery using Google Cloud

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Configuring MongoDB Atlas with BigQuery Dataflow Templates with these activities:
Review Course Materials and Compile Notes
Regularly compile notes and review course materials to reinforce understanding and enhance retention.
Show steps
  • Organize lecture notes
  • Summarize key concepts
  • Review compiled materials
Configure Atlas Cluster with Airflow Templates
Practice configuring MongoDB Atlas with Airflow templates to improve understanding of data-flow processing.
Show steps
  • Review the template documentation
  • Create an Atlas cluster
  • Configure the Airflow template
  • Run the template
Attend BigQuery Workshop
Participate in a workshop to enhance knowledge of BigQuery's capabilities and best practices.
Show steps
  • Find and register for a workshop
  • Attend the workshop
  • Apply concepts learned to course projects
Three other activities
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Create Dataflow Pipeline using Templates
Utilize guided tutorials to enhance understanding of creating Dataflow pipelines using templates.
Show steps
  • Find relevant tutorials
  • Follow the steps in the tutorials
  • Experiment with different templates
Design a Data Integration Solution
Create a data integration solution to demonstrate proficiency in implementing the concepts covered in the course.
Show steps
  • Identify the data sources
  • Design the data integration architecture
  • Implement the data integration solution
  • Test and validate the solution
Build a MongoDB Data Pipeline
Develop a MongoDB data pipeline to solidify understanding of data processing and management.
Show steps
  • Define the project requirements
  • Design the data pipeline
  • Implement the data pipeline
  • Test and evaluate the data pipeline

Career center

Learners who complete Configuring MongoDB Atlas with BigQuery Dataflow Templates will develop knowledge and skills that may be useful to these careers:
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 may be useful for a Data Scientist by providing an introduction to using MongoDB Atlas with BigQuery Dataflow Templates.
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models. This course may be useful for a Machine Learning Engineer by providing an introduction to using MongoDB Atlas with BigQuery Dataflow Templates.
Data Architect
Data Architects design and implement data management solutions. This course may be useful for a Data Architect by providing an introduction to using MongoDB Atlas with BigQuery Dataflow Templates.
Software Engineer
Software Engineers design, develop, and maintain software systems. This course may be useful for a Software Engineer by providing an introduction to using MongoDB Atlas with BigQuery Dataflow Templates.
Data Analyst
Data Analysts collect, clean, and analyze data to help organizations make informed decisions. This course may be useful for a Data Analyst by providing an introduction to using MongoDB Atlas with BigQuery Dataflow Templates.
Database Administrator
Database Administrators are responsible for the installation, configuration, and maintenance of database management systems. This course may be useful for a Database Administrator by providing an introduction to using MongoDB Atlas with BigQuery Dataflow Templates.
Data Engineer
Data Engineers design, build, and maintain big data infrastructure. This course may be useful for a Data Engineer by providing an introduction to using MongoDB Atlas with BigQuery Dataflow Templates.
Big Data Architect
Big Data Architects design and implement big data solutions. This course may be useful for a Big Data Architect by providing an introduction to using MongoDB Atlas with BigQuery Dataflow Templates.
Data Warehouse Engineer
Data Warehouse Engineers design and implement data warehouse systems. This course may be useful for a Data Warehouse Engineer by providing an introduction to using MongoDB Atlas with BigQuery Dataflow Templates.
Business Intelligence Analyst
Business Intelligence Analysts use data to help organizations make better decisions. This course may be useful for a Business Intelligence Analyst by providing an introduction to using MongoDB Atlas with BigQuery Dataflow Templates.
Cloud Engineer
Cloud Engineers design, build, and maintain cloud computing systems. This course may be useful for a Cloud Engineer by providing an introduction to using MongoDB Atlas with BigQuery Dataflow Templates.
Database Developer
Database Developers design and develop database systems. This course may be useful for a Database Developer by providing an introduction to using MongoDB Atlas with BigQuery Dataflow Templates.
Data Security Analyst
Data Security Analysts design and implement data security solutions. This course may be useful for a Data Security Analyst by providing an introduction to using MongoDB Atlas with BigQuery Dataflow Templates.
Data Integration Engineer
Data Integration Engineers design and implement data integration solutions. This course may be useful for a Data Integration Engineer by providing an introduction to using MongoDB Atlas with BigQuery Dataflow Templates.
Data Privacy Engineer
Data Privacy Engineers design and implement data privacy solutions. This course may be useful for a Data Privacy Engineer by providing an introduction to using MongoDB Atlas with BigQuery Dataflow Templates.

Reading list

We've selected ten 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 Configuring MongoDB Atlas with BigQuery Dataflow Templates.
Offers comprehensive coverage of all things MongoDB, from the fundamentals to advanced topics like replication, sharding, and security.
Provides an in-depth look into the internal workings of MongoDB, its storage engine, and indexing.
A practical guide to MongoDB, with a focus on real-world applications and use cases.
A comprehensive guide to MongoDB, covering basics to advanced concepts.
A non-technical guide to NoSQL databases, including MongoDB, BigQuery, and Dataflow.
A comprehensive guide to building data-intensive applications, with a focus on scalability, reliability, and performance.
A practical guide to data science for business professionals. Covers everything from the basics to advanced topics like machine learning and data mining.
The official guide to Apache Spark, the open-source framework for distributed processing of large data sets.

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