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GCP - Google Cloud Associate Data Practitioner Certification - OneDDL - 05-27-2025 Free Download GCP - Google Cloud Associate Data Practitioner Certification Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.00 GB | Duration: 8h 30m Prepare for Google Cloud Data Practitioner | BigQuery, Dataproc, Dataform, Cloud Composer, Looker Studio, Dataflow What you'll learn Understand the core services and tools used in Google Cloud for data management, analytics, and orchestration Design and implement data pipelines using BigQuery, Cloud Composer, Dataflow, Dataform, and Dataproc Perform data preparation, transformation, and ingestion using Cloud Data Fusion and BigQuery Analyze and visualize data using BigQuery, Looker Studio, and BigQuery ML Understand the differences and use cases of data storage options like BigQuery, Cloud Storage, Firestore, Cloud SQL, Bigtable, and Spanner Apply ETL, ELT, and ETLT concepts in real-world cloud data workflows Build, schedule, and monitor data workflows using Cloud Composer (Apache Airflow) Gain hands-on experience through labs aligned with the official certification exam guide Prepare effectively for the Google Cloud Associate Data Practitioner certification exam Requirements No prior Google Cloud experience is required A basic understanding of data concepts (such as tables, rows, queries) is helpful Willingness to explore cloud tools and perform hands-on practice A Google Cloud free-tier account for running labs and exercises Description This course is a comprehensive, hands-on learning path designed to help you prepare for the Google Cloud Associate Data Practitioner Certification, following the structure and objectives outlined in the official exam guide.The certification targets individuals working with data in the cloud, requiring foundational skills in managing, processing, analyzing, and visualizing data using Google Cloud technologies.In this course, you'll learn to confidently work across various GCP services and develop a clear understanding of their practical use in end-to-end data workflows.Key Focus Areasata Preparation and Ingestion: Learn to differentiate between ETL, ELT, and ETLT, clean and transform datasets, and work with tools like Cloud Data Fusion and BigQuery.Data Analysis and Visualization: Use BigQuery to explore datasets, interpret analytical results, and build impactful dashboards with Looker Studio. Learn to utilize BigQuery ML and AutoML for predictive insights.Data Pipeline Orchestration: Implement and schedule data pipelines using Cloud Composer (Apache Airflow), Dataflow (Apache Beam), Dataform, and Dataproc.Data Management: Understand when to use Cloud Storage, BigQuery, Cloud SQL, Firestore, Bigtable, Spanner, and AlloyDB, including considerations around cost, scale, and performance.This course blends theory with practical labs, real-world scenarios, and project-based exercises to help you internalize concepts and gain confidence.Whether you're aiming to clear the exam or build a strong data foundation in GCP, this course provides everything you need to succeed. Overview Section 1: Introduction Lecture 1 Course Introduction Section 2: ------------ Part 1: Data Preparation and Ingestion ------------ Lecture 2 Part Introduction Lecture 3 Data Manipulation Methods Lecture 4 Choose Appropriate Data Transfer Tool Lecture 5 Different Data File Formats Lecture 6 Choose Appropriate Extraction Tool Lecture 7 Select Appropriate Storage Solution Lecture 8 Choose Appropriate Data Storage Location Type Lecture 9 Structured, Unstructured, and Semi-Structured Data Lecture 10 Hands-On] gcloud Storage CLI Utility Part 1 - Transfer Data from Local to GCP Lecture 11 Hands-On] gcloud Storage CLI Utility Part 2 - Transfer Data from Local to GCP Lecture 12[Hands-On] Database Migration Part - 1 Lecture 13[Hands-On] Database Migration Part - 2 Lecture 14[Hands-On] Database Migration Part - 3 Lecture 15[Hands-On] Transfer Objects from One GCP Bucket to Another Lecture 16[Hands-On] Transfer Objects from Azure Cloud Storage to GCP Bucket Lecture 17[Hands-On] Transfer Objects from AWS S3 to GCP Bucket Lecture 18[Hands-On] Data Ingestion into BigQuery Using bq CLI Lecture 19[Hands-On] Using Python SDK to Interact with Google Cloud Services Part 1 Lecture 20[Hands-On] Using Python SDK to Interact with Google Cloud Services Part 2 Section 3: ------------ Part 2: Data Analysis and Presentation ----------- Lecture 21 Part Introduction Lecture 22[Hands-On] Data Insight using BigQuery Part 1 Lecture 23[Hands-On] Data Insight using BigQuery Part 2 Lecture 24[Hands-On] Data Insight using BigQuery Part 3 Lecture 25 Data visualization using Python Notebook Lecture 26 BigQuery Data Transfer Service: Dataset Copy Lecture 27 BigQuery Data Transfer Service: Google Cloud Storage Lecture 28 ML Use Cases using BigQuery ML and AutoML Lecture 29 Plan a Machine Learning Project Lecture 30 Analyse and Visualize Data with Looker Lecture 31 Complete ML Project with BigQuery Section 4: ------------ Part 3: Data Pipeline Orchestration -------------- Lecture 32 Part Introduction Lecture 33 Selecting a Data Transformation Tools Lecture 34 Use Cases for ELT and ETL Section 5:[Hands-on] Google Cloud Composer Lecture 35 Create Cloud Composer Environment Lecture 36 Create and Run Basic DAG Pipeline Lecture 37 ETL DAG - GCS to BigQuery Pipeline Section 6:[Hands-on] Google Cloud Dataproc Lecture 38 Create Dataproc Cluster Lecture 39 Explore Hadoop Distributed File System (HDFS) Lecture 40 Interact with Hive Lecture 41 PySpark Jobs on Dataproc Lecture 42 Run PySpark Job on Dataproc using User Interface (UI) Lecture 43 Run PySpark Job on Dataproc via Jupyter Notebook Section 7:[Hands-on] Google Cloud Dataflow Lecture 44 Using Dataflow Templates to Load Data from GCS to BigQuery Lecture 45 Create an ETL Pipeline with Dataflow Job Builder Section 8: ------------ Part 4: Data management -------------- Lecture 46 Part Introduction Lecture 47 Principles of Least Privileged Access using IAM Lecture 48 Different Types of Roles: BigQuery and Storage Lecture 49 Access Control for Google Cloud Storage Part 1 Lecture 50 Access Control for Google Cloud Storage Part 2 Lecture 51 Google Cloud Storage Classes Lecture 52 Configure Rules to Delete Objects in BigQuery & Cloud Storage Lecture 53 High Availability & Disaster Recovery in Cloud Storage & Cloud SQL Lecture 54 Introduction to Cloud Key Management Service (Cloud KMS) Section 9: Thank You Lecture 55 Congratulations Beginners who want to start a career in cloud data and analytics,Students and professionals preparing for the Google Cloud Associate Data Practitioner Certification,Data analysts, engineers, and business intelligence professionals interested in learning GCP,Anyone who wants to build practical skills in managing and analyzing data on Google Cloud Homepage [To see links please register or login] Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [To see links please register or login] No Password - Links are Interchangeable