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Google Cloud Associate Data Practitioner Exam Cram
Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.03 GB | Duration: 2h 0m
Unlock Your Data Career Potential: Master the Google Cloud Associate Data Practitioner Certification
What you'll learn
Master the Exam Objectives: Demystify the GCP Professional Data Engineer certification exam and understand its core components.
Implement Data Engineering Best Practices: Apply proven strategies for designing and building efficient, reliable data pipelines on GCP.
rchestrate Data Ingestion & Storage: Seamlessly extract and load data into diverse GCP storage solutions, including Cloud Storage and Bigtable.
Navigate GCP's Data Storage Ecosystem: Choose the right storage services for structured (Cloud SQL, Spanner, BigQuery), unstructured (Cloud Storage, Filestore),
Fortify Your Data Security & Compliance: Implement robust security measures and ensure adherence to stringent data privacy regulations.
Leverage Powerful Data Management Tools: Master DataPrep and Data Catalog for effective data governance.
Visualize Data Insights: Transform raw data into compelling visualizations using Data Studio.
ngineer High Availability & Disaster Recovery: Design resilient data solutions for Cloud Storage and Cloud SQL.
Harness the Power of AI/ML: Explore BigQuery ML and AutoML for advanced data analysis.
Requirements
olid understanding of fundamental data management, engineering, and privacy concepts.
At least six months of practical experience with GCP services (networking, security, storage).
Hands-on experience with SQL databases and relational database concepts
Description
Course DescriptionAre you ready to transform your career and become a sought-after data professional? This comprehensive course provides the focused training you need to conquer the Google Cloud Associate Data Practitioner certification and ELEVATE your expertise in the booming field of cloud data engineering.Why This Certification Matters:Stand Out in a Competitive Market: In a data-driven world, employers are actively seeking certified professionals. This certification validates your fundamental knowledge of Google Cloud data services, instantly setting you apart from the competition.Boost Your Earning Power: Industry studies consistently show that IT certifications, particularly those from leading cloud providers such as Google Cloud, are associated with higher salaries. Invest in your future and unlock your earning potential.Gain Real-World Google Cloud Expertise: This course goes beyond theory, providing hands-on experience with Google Cloud Platform (GCP), the industry-leading platform for cloud data services. Whether you aspire to work at Google or any organization leveraging GCP, this practical experience is invaluable.Massive Job Market Opportunity: With over 12,000 data engineer jobs currently listed on LinkedIn in the USA alone and the Google Cloud Data Engineer certification consistently ranked as one of the most valuable certifications, your skills are in high demand.Who Should Enroll:This course is designed for aspiring data professionals with a foundational understanding of data concepts and at least six months of practical experience with Google Cloud services. If you have a background in computer science, statistics, informatics, information systems, or any quantitative field and are eager to advance your data career, this course is for you.What You Will Achieve:Upon completion of this course, you will be able to:Master the Exam Objectives: Confidently navigate the GCP Associate Data Practitioner certification exam by thoroughly understanding its objectives.Apply Google Cloud Data Engineering Best Practices: Implement effective data engineering strategies tailored to the Google Cloud environment.Efficiently Extract and Load Data: Design and execute data ingestion processes into appropriate Google Cloud storage systems.Select and Utilize Key GCP Storage Services: Leverage Cloud Storage and Bigtable for optimal data storage solutions.Choose the Right Services for Structured Data: Implement Cloud SQL, Cloud Spanner, and BigQuery for structured data management.Effectively Manage Unstructured Data: Utilize Cloud Storage and Filestore for unstructured data storage and processing.Optimize Semi-Structured Data Handling: Employ Cloud Datastore and Bigtable for efficient semi-structured data management.Implement Robust Data Security and Compliance: Apply security measures and ensure compliance with data privacy regulations.Utilize Powerful GCP Data Management Tools: Master tools like DataPrep and Data Catalog for effective data management.Create Compelling Data Visualizations: Utilize GCP services like Data Studio to transform data into actionable insights.Design High Availability and Disaster Recovery Strategies: Implement resilient data solutions in Cloud Storage and Cloud SQL.Leverage AI/ML Services: Gain practical insights into BigQuery ML and AutoML for advanced data analysis.Prerequisites:To maximize your learning experience, you should have:Familiarity with foundational data concepts, including data management, data engineering, and data privacy.At least six months of hands-on experience with Google Cloud services, including networking, security, and storage.Practical experience with SQL databases and relational database concepts.Your Next Steps:After completing this course, you can further enhance your expertise by:Enrolling in advanced data engineering courses to delve deeper into complex concepts.Exploring AI services within Google Cloud to leverage cutting-edge technologies.Enroll now and take the definitive step towards becoming a certified Google Cloud Data Practitioner!
Overview
Section 1: Introduction
Lecture 1 Course Trailer
Lecture 2 Course Introduction
Lecture 3 What is the GCP Associate Data Practitioner Certification?
Lecture 4 Associate Data Practitioner Certification Exam Objectives
Lecture 5 Certification Exam Process
Lecture 6 Downloadable Course Resources
Section 2: Data Preparation and Ingestion
Lecture 7 Discussion - Importance of Data Practitioners
Lecture 8 Data Quality Fundamentals
Lecture 9 Data Transfer Tools (Storage Transfer Service and Transfer Appliance)
Lecture 10 Data Cleansing and Profiling
Lecture 11 Data Transfer Formats
Lecture 12 Data Structures, Files and Types
Lecture 13 Whiteboard - Mapping business requirements to Use Cases
Lecture 14 Demonstration - BigQuery
Lecture 15 Module Two Review
Section 3: Data Pipeline Orchestration (65 minutes)
Lecture 16 Selecting a data transformation tool in Google Cloud
Lecture 17 Evaluate use cases for ETL/ELT
Lecture 18 Choose products required to implement transformation pipelines
Lecture 19 Demonstration: Monitor Dataflow pipeline progress using the Dataflow job UI
Lecture 20 Demonstration: Review and analyze logs in Cloud Logging and Cloud Monitoring
Lecture 21 Whiteboard Discussion: Select a data orchestration solution
Lecture 22 Whiteboard Discussion- Identify use cases for event-driven data ingestion
Lecture 23 Demonstration - Use Eventarc triggers in event-driven pipelines
Lecture 24 Module Review
Lecture 25 Resources
Lecture 26 Course Closeout
Anyone who is looking to pass this exam,Data professionals such as data analysts, data practitioners, data engineers,IT professionals wishing to level up their data skills
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