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GCP Data Engineer Training
Original price was: Rs 54,000.00.Rs 46,999.00Current price is: Rs 46,999.00.
Course Content
Module 1: Designing data processing systems
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Designing for security and compliance. Considerations include:Â Identity and Access Management (e.g., Cloud IAM and organization policies), Data security (encryption and key management), Privacy (e.g., personally identifiable information, and Cloud Data Loss Prevention API), Regional considerations (data sovereignty) for data access and storage, Legal and regulatory compliance
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Designing for reliability and fidelity. Considerations include: Preparing and cleaning data (e.g., Dataprep, Dataflow, and Cloud Data Fusion), Monitoring and orchestration of data pipelines, Disaster recovery and fault tolerance, Making decisions related to ACID (atomicity, consistency, isolation, and durability) compliance and availability, Data validation
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Designing for flexibility and portability. Considerations include: Mapping current and future business requirements to the architecture, Designing for data and application portability (e.g., multi-cloud and data residency requirements), Data staging, cataloging, and discovery (data governance)
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Designing data migrations. Considerations include: Analyzing current stakeholder needs, users, processes, and technologies and creating a plan to get to desired state, Planning migration to Google Cloud (e.g., BigQuery Data Transfer Service, Database Migration Service, Transfer Appliance, Google Cloud networking, Datastream), Designing the migration validation strategy, Designing the project, dataset, and table architecture to ensure proper data governanceÂ
Module 2: Ingesting and processing the data
Module 3: Storing the data
Module 4: Preparing and using data for analysis
Module 5: Maintaining and automating data workloads
Class Recordings – One on One Training
About Course
Google Cloud Platform (GCP) Data Engineer Training is a comprehensive program designed to equip individuals with the skills and knowledge needed to excel in data engineering roles using GCP’s powerful tools and services. This training covers key topics such as data ingestion, storage, transformation, and analysis, utilizing services like BigQuery, Dataflow, and Cloud Storage. Participants gain hands-on experience in building scalable data pipelines and mastering data warehousing solutions. With a focus on real-world scenarios and best practices, this training empowers data professionals to harness the full potential of GCP for managing and analyzing data, making them valuable assets in the evolving world of data engineering.
