Udemy Google Cloud Professional Data Engineer Certification Course

[0dayddl]

3.78 GB | 00:18:58 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English​

Files Included :

Spoiler

2 Course Curriculum Overview (19.16 MB)
3 GCP Data Overview (35.1 MB)
4 Data Lifecycle (60.82 MB)
1 Introduction to Pub Sub (3.02 MB)
2 Apache Kafka Pulsar (32.82 MB)
3 Pub Sub Overview (17.55 MB)
4 Pub Sub Architecture (39.73 MB)
5 Pub Sub DEMO (32.73 MB)
1 Introduction to Data Studio (2.83 MB)
2 Data Studio Overview (30.68 MB)
3 Data Studio DEMO (38.93 MB)
1 Introduction to Dataprep (4.1 MB)
2 Dataprep Features and Overview (19.62 MB)
3 Dataprep DEMO (56.98 MB)
1 Introduction to Machine Learning Overview Section (11.89 MB)
2 Understanding the Machine Learning Pathway (42.15 MB)
3 Why Machine Learning (46.87 MB)
4 Types of Machine Learning Algorithms (40.73 MB)
5 Supervised Machine Learning Process (74.79 MB)
6 Difference AI and ML (31.01 MB)
7 Overview AI and ML on Google Cloud (52.63 MB)
8 Vertex AI Overview (35.64 MB)
9 Vertex AI Workbench Jupyter Notebook on Google Cloud (59.05 MB)
1 Introduction to Exam Guide (3.69 MB)
2 Exam Topics Overview (72.04 MB)
3 Exam Experience (50.38 MB)
2 What is Cloud A Cloud Computing Overview (69.85 MB)
3 GCP Network Infrastructure (80.77 MB)
4 GCP Network Connections (153.74 MB)
5 Why Choose GCP (75.18 MB)
6 Google Cloud Account Set-up (50.09 MB)
7 Billing and Budgets (26.79 MB)
8 Billing Tour DEMO (35.28 MB)
9 Setting a Budget Alert DEMO (20.38 MB)
1 GCP Storage Overview (5.21 MB)
10 Cloud Spanner DEMO (109.08 MB)
11 Cloud BigTable (41.94 MB)
12 Memorystore (23.07 MB)
2 GCP Storage Tour (31.39 MB)
3 Cloud Storage (138.71 MB)
4 Cloud Storage DEMO (118.39 MB)
5 Filestore (40.85 MB)
6 Filestore DEMO (109.66 MB)
7 Cloud SQL (49.83 MB)
8 Cloud SQL DEMO (112.71 MB)
9 Cloud Spanner (34.94 MB)
1 Big Data Overview (8.05 MB)
2 MapReduce (40.07 MB)
3 Apache Hadoop (33.84 MB)
4 Apache Pig (17.65 MB)
5 Apache Spark (35.82 MB)
6 Apache Kafka (26.87 MB)
1 Introduction to Bigquery (8.4 MB)
10 BigQuery Nested and Repeated Fields (42.93 MB)
11 Nested Fields DEMO (62.7 MB)
12 Partioning and Clustering (34.45 MB)
13 BigQuery and Machine Learning (23.85 MB)
14 BigQuery and Machine Learning DEMO (66.53 MB)
15 BigQuery Best Practices (33.2 MB)
16 BigQuery IAM Policy and Monitoring (28.02 MB)
17 BigQuery Streaming (30.73 MB)
2 Data Lakes vs Data Warehouse (81.6 MB)
3 BigQuery Architecture (52.69 MB)
4 BigQuery Basic Hierarchy (57.11 MB)
5 BigQuery Basics DEMO (69.57 MB)
6 BigQuery Command Line Tool DEMO (53.56 MB)
7 BigQuery Ingesting Data Input (31.93 MB)
8 BigQuery Loading Data DEMO (87.5 MB)
9 BigQuery Understanding Schemas (43 MB)
1 Introduction to Dataproc (3.78 MB)
2 Hadoop Based Ecosystem Review (26 MB)
3 Dataproc Key Features (37.06 MB)
4 Dataproc Optimization (33.49 MB)
5 Dataproc DEMO (73.57 MB)
6 Dataproc with Cloud Storage (35.26 MB)
1 Introduction to Data Fusion (3.03 MB)
2 Cloud Data Fusion (43.42 MB)
3 Data Fusion User Interface (28.34 MB)
4 Data Fusion DEMO (82.74 MB)
1 Introduction to Cloud Composer (3.14 MB)
2 Apache Airflow Overview (29.74 MB)
3 Cloud Composer (30.55 MB)
4 Cloud Composer DEMO (44.28 MB)
1 Introduction to Cloud Dataflow (2.79 MB)
2 Cloud Dataflow Overview (42.08 MB)
3 Cloud Dataflow Templates and SQL (26.43 MB)
4 Cloud Dataflow DEMO (108.6 MB)

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Spoiler

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12.4 GB | 56min 58s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English​

Files Included :

Spoiler

2 - Introduction to Google Cloud Data Engineer certification.mp4 (92.53 MB)
3 - How to register for GCP certifications.mp4 (77.7 MB)
4 - How to Create Free trial account in Google Cloud.mp4 (11.74 MB)
45 - Overview of Google Cloud AIML Services.mp4 (41.25 MB)
46 - Vision API.mp4 (54.17 MB)
47 - Natural Language Processing API.mp4 (97.49 MB)
48 - Video Intelligence API.mp4 (28.99 MB)
49 - Vertex AI Studio Now AI Studio.mp4 (108.09 MB)
50 - Custom Machine learning model using Vertex AI.mp4 (181.59 MB)
51 - Create Dashboard in Data Studio.mp4 (257.07 MB)
52 - Encrypting persistent Disk.mp4 (102.04 MB)
53 - Encryption at Cloud Storage Bucket.mp4 (189.34 MB)
54 - Data loss Prevention API.mp4 (47.62 MB)
55 - Inspect Sensitive Data Using Data Loss Prevention API.mp4 (130.59 MB)
56 - Creating an ETL Data Pipeline with Cloud Data Fusion AirflowPart1.mp4 (1.28 GB)
57 - Creating an ETL Data Pipeline with Cloud Data Fusion Airflow part2.mp4 (784.75 MB)
58 - Cricket Statistics Data Pipeline in Google Cloud using Airflow.mp4 (1.39 GB)
59 - Automated Data Pipeline for Sales Data.mp4 (1.68 GB)
60 - Building a Sentiment Analysis Data Pipeline from Support Chat using Gemini.mp4 (567.51 MB)
61 - Automate GCS to BigQuery Dataload.mp4 (732.8 MB)
5 - Compute Services Overview.mp4 (62.07 MB)
6 - Creating First GCP VM Instance.mp4 (79.11 MB)
7 - Google App Engine.mp4 (97.06 MB)
8 - Google cloud Networking Services.mp4 (449.9 MB)
10 - Google Cloud Storage Introduction.mp4 (192.15 MB)
11 - Google Cloud Storage features Handson.mp4 (143.71 MB)
12 - Persistent Disks and snapshots.mp4 (265.75 MB)
13 - Creating Snapshot Policy.mp4 (47.95 MB)
14 - Mount GCS Bucket as Filesystem.mp4 (148.42 MB)
9 - Overview of Storage services.mp4 (351.84 MB)
15 - Getting Started with Cloud SQL.mp4 (114.19 MB)
16 - Migrate Onprem MySQL to Google Cloud.mp4 (97.43 MB)
17 - Cloud Spanner.mp4 (143.36 MB)
18 - Create Cloud Spanner Instance.mp4 (125.94 MB)
19 - Create Cloud Spanner Change Stream.mp4 (152.29 MB)
20 - Cloud BigTable.mp4 (33.77 MB)
21 - Create BigTable instance.mp4 (105.48 MB)
22 - Google Cloud BigQuery.mp4 (41.75 MB)
23 - Create Dataset and Table in BigQuery.mp4 (64.76 MB)
24 - Partitioning in BigQuery.mp4 (60.88 MB)
25 - BigQuery Access Control.mp4 (75.83 MB)
26 - Federated Queries in BigQuery.mp4 (97.1 MB)
27 - Restore Deleted data in BigQuery.mp4 (75.69 MB)
28 - Streaming Buffer in BigQuery.mp4 (138.14 MB)
29 - Gemini AI in BigQuery Former Duet AI.mp4 (96.19 MB)
30 - Data Analytics Services Overview.mp4 (50.84 MB)
31 - Cloud PubSub.mp4 (34.61 MB)
32 - Introduction to Dataflow.mp4 (32.89 MB)
33 - Create batch Job using Dataflow.mp4 (40.74 MB)
34 - Load Data from GCS to BigQuery using Dataflow.mp4 (129.78 MB)
35 - Extract Data from Cloud Spanner to GCS.mp4 (125.81 MB)
36 - Create Streaming Job using Dataflow.mp4 (210.54 MB)
37 - Create Spanner change stream using Dataflow streaming Job.mp4 (152.27 MB)
38 - Introduction to Cloud Data Fusion.mp4 (22.21 MB)
39 - Create Data Pipeline using Cloud Data Fusion.mp4 (125.71 MB)
40 - Introduction to Cloud Composer.mp4 (85.08 MB)
41 - Creating Cloud Composer Environment.mp4 (32.12 MB)
42 - Cloud Composer Architecture.mp4 (96.37 MB)
43 - Creating Airflow Dag using Cloud composer.mp4 (259.7 MB)
44 - Restarting Composer Services.mp4 (72.39 MB)

]
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Spoiler

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Google Cloud Professional Data Engineer Certification Course
Last updated 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 2.35 GB | Duration: 10h 31m​

Learn to use Google Cloud for Data Engineering and prepare for the Certification Exam!

What you'll learn
Learn what's needed to pass the Google Cloud Professional Data Engineer Certification Exam
Design Data Processing Systems with Google Cloud Tools
Operationalize Machine Learning Models for Deployment
Learn fundamentals of Big Data and Machine Learning
Discover how to use Google Cloud SQL and Spark
Learn to use BigQuery ML for predictions
Build real-time IoT Dashboards with DataFlow and Data Studio
Learn to use Google Cloud APIs for ML, such as Vision API and AutoML
Build Data Lakes and Data Warehouses on Google Cloud
Use DataFlow for Serverless Data Processing with Apache Beam
Understand the Google Cloud Platform Console
Create Virtual Machines with Google Compute Engines

Requirements
Google Cloud Account (to follow along with demo labs and assignments)
Some Basic Google Cloud Platform experience

Description
Welcome to your one-stop shop for passing the Google Cloud Professional Data Engineer Certification Exam!A FULL 50 QUESTION PRACTICE EXAM IS INCLUDED WITH THIS COURSE!We've designed this course to be a complete resource for you to learn how to use Google Cloud to pass the Professional Data Engineer Certification Exam!As you may have heard, Google Cloud is growing at a tremendous rate, with almost 50% YoY growth, and has a higher growth rate than overall cloud. Since Google has some of the most advanced data and machine learning offerings of any cloud provider, it makes sense to get skilled in this highly in-demand field today.In this course we'll teach you how to make data-driven decisions by collecting, transforming, and publishing data. This certification preparatory course will show you how to use Google Cloud to design, build, and operationalize data systems that can run at the scale of Google.In this course, we'll prepare you for the Google Cloud Professional Data Engineer Certification Exam by teaching you about the followingesigning Data Processing SystemsGoogle Cloud StorageData PipelinesBigQueryDataFlowCloud ComposerOperationalize Data SystemsCloud BigTableCloud SQLData Cleaning and TransformationData MonitoringMachine Learning DevOpsGoogle Cloud ML APIsDeploying ML PipelinesInfrastructure DecisionsData Solutions QualityData Security and AccessTest Suites and TroubleshootingVerification and MonitoringData PortabilityAnd much more!While this course is specifically designed to help you pass the Google Cloud Professional Data Engineer Certification Exam, we believe anyone that is interested in using Google Cloud to create development operations for the latest data products will benefit massively from taking this course.Also, not only do you get great technical content with this course, but you'll also get access to our in course Question and Answer Forums and our Discord Student Chat Channel.You can try the course risk free with a 30-day money back guarantee!Enroll today and we'll see you inside the course!

Who this course is for:
Anyone wanting to pass the Professional Data Engineer Certification from Google Cloud

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