About this Paths
This skill path covers all the objectives needed to be a Data Engineer on Google Cloud. You will learn in depth how to use the products and services as well as how to complete the most common tasks with your Data in GCP. Although this path aligns with the topics for the GCP Cloud Data Engineer Professional exam. It is not a cert exam prep course. This is a path to teach the practical on the job skills for Data on GCP.
What You'll Learn
From | Pluralsight |
---|---|
Hours | 36 |
Instructors | Janani Ravi, Vitthal Srinivasan |
Language | English |
Subjects | IT & Networking |
Similar Courses
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Data Engineer (eDiscovery) $67k
Product Data Engineer $92k
Data Networking Engineer. $96k
Data Networking Engineer $101k
Staff Data Engineer 2 $105k
Data Communication Engineer 4 $111k
Voice and Data Engineer $111k
Data Modeling Engineer $112k
Data Integration Engineer| Data Warehouse $116k
Engineer - Data Services $120k
Software Engineer/Data Engineer $187k
Data Engineer/Developer $201k
Courses in this Paths
Listed in the order in which they should be taken
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On Demand |
Architecting Big Data Solutions Using Google Dataproc When organizations plan their move to the Google Cloud Platform, Dataproc offers the same features but with additional powerful paradigms such as separation of compute and... Pluralsight |
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On Demand |
Architecting Serverless Big Data Solutions Using Google Dataflow Dataflow allows developers to process and transform data using easy, intuitive APIs. Dataflow is built on the Apache Beam architecture and unifies batch as well as stream... Pluralsight |
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On Demand |
Building Pipelines for Workflow Orchestration Using Google Composer Cloud Composer is a pipeline orchestration service on the GCP. Based on the Apache Airflow API, Composer was launched in May 2018 and is fast-emerging as a popular and versatile... Pluralsight |
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On Demand |
Architecting Data Warehousing Solutions Using Google BigQuery Organizations store massive amounts of data that gets collated from a wide variety of sources. BigQuery supports fast querying at a petabyte scale, with serverless functionality... Pluralsight |
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On Demand |
Architecting Stream Processing Solutions Using Google Cloud Pub/Sub As data warehousing and analytics become more and more integrated into the business models of companies, the need for real-time analytics and data processing has grown. Stream... Pluralsight |
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On Demand |
Building Machine Learning Models in SQL Using BigQuery ML This course demonstrates how to build and train machine learning models for linear and logistic regression using SQL commands on BigQuery, the Google Cloud Platform’s serverless... Pluralsight |
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On Demand |
Creating and Administering Google Cloud SQL Instances An important component of an organization's on-premises solution is the relational database. Cloud SQL is an RDBMS offering on the GCP which makes the operational and... Pluralsight |
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On Demand |
Architecting Big Data Solutions Using Google Bigtable Bigtable is Google’s proprietary storage service that offers extremely fast read and write speeds. It uses a sophisticated internal architecture which learns access patterns and... Pluralsight |
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On Demand |
Designing and Implementing Solutions Using Google Machine Learning APIs The Google Cloud Platform makes a wide range of machine learning (ML) services available as a part of Google Cloud AI. Google Cloud Machine Learning APIs are the most accessible... Pluralsight |
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On Demand |
Designing and Implementing Solutions Using Google Cloud AutoML Most organizations want to harness the power of machine learning in order to improve their products, but they may not always have the expertise available in-house. In this course,... Pluralsight |
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On Demand |
Creating and Administering Google Cloud Spanner Instances Relational Databases have traditionally relied on vertical scaling, but Google’s Cloud Spanner is carefully architected to provide horizontal scaling and global replication with... Pluralsight |
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On Demand |
Architecting Schemaless Scalable NoSQL Databases Using Google Datastore A suite of big data technologies is considered incomplete unless it includes a solution optimized for document-oriented data and hierarchical queries, and that can provide the... Pluralsight |
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On Demand |
Leveraging Fully Managed Redis Datastores Using Google Cloud Memorystore Due to its in-memory nature, Memorystore features some of the lowest latencies on the platform, down to sub-millisecond levels. This managed-Redis service is hosted on Google’s... Pluralsight |
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On Demand |
Leveraging Google Cloud Firestore for Realtime Database Solutions Cloud Firestore is a flexible, scalable, realtime database where users can be notified when data changes in the cloud. Cloud Firestore is often used for mobile and web... Pluralsight |
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On Demand |
Firebase is Google’s comprehensive mobile and app development platform which has features and integrations with the Google Cloud Platform which allow developers to build... Pluralsight |
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On Demand |
Developing on the Google Cloud Using Datalab and Cloud Source Repositories At the core of cloud development is a thorough knowledge of Cloud Source Repositories. In this course, Developing on the Google Cloud Using Datalab and Cloud Source Repositories,... Pluralsight |
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On Demand |
Architecting Production-ready ML Models Using Google Cloud ML Engine Building machine learning models using Python and a machine learning framework is the first step towards building an enterprise-grade ML architecture, but two key challenges... Pluralsight |
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On Demand |
Designing Scalable Data Architectures on the Google Cloud The Google Cloud Platform offers up a very large number of services, for every important aspect of public cloud computing. This array of services and choices can often seem... Pluralsight |
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|
From | Pluralsight |
---|---|
Hours | 36 |
Instructors | Janani Ravi, Vitthal Srinivasan |
Language | English |
Subjects | IT & Networking |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Data Engineer (eDiscovery) $67k
Product Data Engineer $92k
Data Networking Engineer. $96k
Data Networking Engineer $101k
Staff Data Engineer 2 $105k
Data Communication Engineer 4 $111k
Voice and Data Engineer $111k
Data Modeling Engineer $112k
Data Integration Engineer| Data Warehouse $116k
Engineer - Data Services $120k
Software Engineer/Data Engineer $187k
Data Engineer/Developer $201k
Similar Courses
Sorted by relevance