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The Cloud Database Engineer certification focuses on managing and optimizing cloud-based databases. It covers database design, deployment, security, and performance tuning across various cloud platforms. This certification is ideal for professionals who want to specialize in cloud database management and support data-driven decision-making.
Instructor
Curriculum
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( 4.8 Ratings )
Live Online Classes starting on 01 January, 1970
Cloud Database Engineer
Data Engineering on Google Cloud Platform
This four-day instructor-led class provides participants with a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demonstrations, and practical labs, you will learn to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning solutions. The course covers various types of data, including structured, unstructured, and streaming data.
Key Features:
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Session by Certified Instructor
-
Advanced hands-on labs
-
Official training content
-
Industry-recognized certification
-
Interactive sessions
Course Objectives:
-
Design and build data processing systems on Google Cloud.
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Process batch and streaming data by implementing auto-scaling data pipelines using Dataflow.
-
Derive business insights from large datasets using BigQuery.
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Leverage unstructured data with Spark and ML APIs on Dataproc.
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Enable instant insights from streaming data.
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Introduce ML APIs and BigQuery ML, and use Cloud AutoML to create powerful models without coding.
( 4.8 Ratings )
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Live Online Training (Duration : 32 Hours)
Guaranteed to run classes as per your convenient time zone
Industry experienced & certified trainers
Query Handling session by technical expert after 2 month completion of training
Career path counselling
Custom tailored training as per the requirement
Exam assistance
Exam Mock papers
100% Quality assurance with certified & industry experienced Trainer
Live Online Training (Duration : 32 Hours)
Guaranteed to run classes as per your convenient time zone
Industry experienced & certified trainers
Query Handling session by technical expert after 2 month completion of training
Career path counselling
Custom tailored training as per the requirement
Exam assistance
Exam Mock papers
100% Quality assurance with certified & industry experienced Trainer
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Data Engineering on Google Cloud Platform
This four-day instructor-led class provides participants with a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demonstrations, and practical labs, you will learn to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning solutions. The course covers various types of data, including structured, unstructured, and streaming data.
Key Features:
-
Session by Certified Instructor
-
Advanced hands-on labs
-
Official training content
-
Industry-recognized certification
-
Interactive sessions
Course Objectives:
-
Design and build data processing systems on Google Cloud.
-
Process batch and streaming data by implementing auto-scaling data pipelines using Dataflow.
-
Derive business insights from large datasets using BigQuery.
-
Leverage unstructured data with Spark and ML APIs on Dataproc.
-
Enable instant insights from streaming data.
-
Introduce ML APIs and BigQuery ML, and use Cloud AutoML to create powerful models without coding.
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Since SpireTec provides 24X7 training and support for your training needs is very adaptable to your time availabilities and offers customized training programs according to your availability and time zones of your contingent.
Because SpireTec aims for the personal & professional growth of you as individual & corporate as a whole, providing training on the latest and updated versions in the designated domains.
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