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[FreeCoursesOnline.Me] A Cloud Guru - Google Certified Professional Data Engineer
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2.55 GB
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3.37 k
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[FreeCoursesOnline.Me] A Cloud Guru - Google Certified Professional Data Engineer
0. Websites you may like
0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url
- 377 B
1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url
- 286 B
2. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, & more.etc.url
- 163 B
3. (FTUApps.com) Download Cracked Developers Applications For Free.url
- 239 B
How you can help our Group!.txt
- 208 B
01 Introduction
001 Welcome.mp4
- 30.15 MB
002 About This Course.mp4
- 48.42 MB
003 Course Audience and Prerequisites.mp4
- 12.35 MB
02 Data Processing Fundamentals
001 Data Processing Concepts.mp4
- 93.68 MB
002 Data Processing Pipelines.mp4
- 18.79 MB
03 Storage and Databases
001 Introduction to Data Storage in GCP.mp4
- 59.1 MB
002 Working with Data.mp4
- 16.16 MB
003 Cloud Storage.mp4
- 23.08 MB
003 GCS Documentation.txt
- 39 B
003 GCS Pricing.txt
- 41 B
004 GCS Access Control Lists (ACLs).txt
- 73 B
004 GCS IAM Permissions.txt
- 75 B
004 Service Accounts.mp4
- 14.87 MB
005 BigQuery Data Transfer Service.txt
- 44 B
005 Cloud Storage Transfer Service.txt
- 48 B
005 Data Transfer Services.mp4
- 8.9 MB
006 Cloud SQL Documentation.txt
- 35 B
006 Cloud SQL.mp4
- 22.61 MB
006 Replicating from an external server.txt
- 68 B
006 Requirements and tips for configuring replication.txt
- 57 B
007 LAB Creating a Cloud SQL Instance and Loading Data.mp4
- 29.54 MB
007 forumdb.sql
- 65.5 KB
008 Cloud Firestore Documentation.txt
- 41 B
008 Cloud Firestore.mp4
- 23.6 MB
009 ANSI SQL best practices.txt
- 57 B
009 CAP Theorem.txt
- 42 B
009 Cloud Spanner Documentation.txt
- 39 B
009 Cloud Spanner.mp4
- 28.26 MB
009 Distributed database quorums.txt
- 61 B
009 Multi-regional best practices.txt
- 76 B
009 Regional best practices.txt
- 72 B
010 GCP Samples (C).txt
- 59 B
010 GCP Samples (Go).txt
- 54 B
010 GCP Samples (Java).txt
- 57 B
010 GCP Samples (PHP).txt
- 56 B
010 GCP Samples (Python).txt
- 59 B
010 GCP Samples (Ruby).txt
- 57 B
010 LAB Working with Cloud Spanner.mp4
- 21.85 MB
010 Node.txt
- 45 B
010 spannerlab-schema.sql
- 349 B
011 Cloud Memorystore Documentation.txt
- 49 B
011 Cloud Memorystore.mp4
- 10.39 MB
012 LAB Working with Cloud Memorystore.mp4
- 35.96 MB
012 Redis-CLI Documentation.txt
- 33 B
012 Retwis GitHub repo.txt
- 46 B
013 Comparing Storage Options.mp4
- 14.66 MB
014 Exam Tips.mp4
- 6.93 MB
04 Big Data Ecosystem
001 MapReduce research paper.pdf
- 186.24 KB
001 MapReduce.mp4
- 48.99 MB
002 Hadoop HDFS.mp4
- 22.79 MB
003 Apache Pig.mp4
- 7.43 MB
004 Apache Spark.mp4
- 30.23 MB
005 Apache Kafka.mp4
- 17.08 MB
05 Real Time Messaging with PubSub
001 PubSub Concepts.mp4
- 51.34 MB
002 PubSub Basics.mp4
- 8.9 MB
003 LAB Working with Cloud PubSub.mp4
- 31.7 MB
004 GCP Samples (C).txt
- 59 B
004 GCP Samples (Go).txt
- 54 B
004 GCP Samples (Java).txt
- 57 B
004 GCP Samples (PHP).txt
- 56 B
004 GCP Samples (Python).txt
- 59 B
004 GCP Samples (Ruby).txt
- 57 B
004 LAB Cloud PubSub Client Libraries.mp4
- 40.61 MB
004 Node.txt
- 44 B
004 bored.py
- 1005 B
005 Advanced PubSub.mp4
- 17.3 MB
005 PubSub IAM Roles.txt
- 67 B
005 PubSub Stackdriver Metrics.txt
- 63 B
006 LAB Loosely Coupled Services with Cloud PubSub.mp4
- 35.77 MB
006 Source Code gen_thumbnail.Source Code gen_thumbnail
- 2.32 KB
007 LAB Stream Data through Cloud PubSub to BigQuery.mp4
- 59.58 MB
007 MOCK_DATA.csv
- 39.22 KB
007 transactions.py
- 1.09 KB
008 Exam Tips.mp4
- 10.97 MB
06 Pipelines with Cloud Dataflow
001 Apache Beam overview.txt
- 51 B
001 Apache Beam programming model.txt
- 71 B
001 Dataflow Introduction.mp4
- 15.39 MB
002 Pipeline Lifecycle.mp4
- 16.12 MB
003 Dataflow Pipeline Concepts.mp4
- 15.22 MB
004 Advanced Dataflow Concepts.mp4
- 15.18 MB
004 Concepts.txt
- 71 B
005 Dataflow Security and Access.mp4
- 17.06 MB
006 Deploying a pipeline.txt
- 67 B
006 Using Dataflow.mp4
- 22.15 MB
007 Exam Tips.mp4
- 10.41 MB
008 LAB Working with Cloud Dataflow.mp4
- 31.6 MB
008 Lab Commands.Lab Commands
- 586 B
009 Beam Programming Guide.txt
- 57 B
009 LAB Streaming Pipelines with Cloud Dataflow.mp4
- 60.04 MB
009 Lab Code.Lab Code
- 3.07 KB
009 Lab Commands.Lab Commands
- 479 B
07 Managed Spark with Cloud Dataproc
001 Dataproc Overview.mp4
- 8.89 MB
002 Dataproc Basics.mp4
- 8.31 MB
003 Estimating Pi using the Monte Carlo method.txt
- 53 B
003 LAB Working with Cloud Dataproc.mp4
- 20.96 MB
003 Monte Carlo method.txt
- 49 B
003 Submitting jobs to Cloud Dataproc.txt
- 57 B
004 Advanced Dataproc.mp4
- 15.83 MB
004 Autoscaling Clusters.txt
- 81 B
004 Dataproc Cluster Properties.txt
- 88 B
004 Dataproc IAM.txt
- 56 B
005 LAB Cloud Dataproc with the GCS Connector.mp4
- 25.03 MB
005 Project Gutenberg.txt
- 37 B
005 wordcount.py
- 1.02 KB
006 Exam Tips.mp4
- 8.63 MB
08 NoSQL Data with Cloud Bigtable
001 Bigtable Concepts.mp4
- 13.93 MB
002 Bigtable Application Profiles.txt
- 52 B
002 Bigtable Architecture.mp4
- 15.18 MB
002 Bigtable IAM Roles.txt
- 54 B
002 Bigtable Quotas Limits.txt
- 41 B
003 Bigtable Data Model.mp4
- 10.23 MB
003 Bigtable Garbage Collection Defaults.txt
- 67 B
004 Cloud Bigtable examples.txt
- 67 B
004 LAB Working with Cloud Bigtable.mp4
- 51.77 MB
004 Lab commands.Lab commands
- 1.14 KB
004 cbt Reference.txt
- 53 B
005 Bigtable Schema Design.mp4
- 16.63 MB
005 Visualizing Cloud Bigtable Access Patterns at Twitter for Optimizing Analytics (YouTube).txt
- 44 B
006 Bigtable Advanced Concepts.mp4
- 14.29 MB
006 Monitoring a Cloud Bigtable Instance.txt
- 59 B
007 Cloud Bigtable examples.txt
- 63 B
007 Fire Weather Index (FWI) System.txt
- 74 B
007 Forest Fires dataset.txt
- 53 B
007 LAB Loading and Querying Data with Cloud Bigtable.mp4
- 40.71 MB
007 dataloader.py
- 970 B
007 forestfires.csv
- 7.65 KB
008 Exam Tips.mp4
- 9.58 MB
09 Data Analytics with BigQuery
001 BigQuery Basics.mp4
- 15.3 MB
001 BigQuery documentation - working with datasets.txt
- 54 B
001 BigQuery main page.txt
- 35 B
001 Interacting with BigQuery.txt
- 65 B
002 BigQuery Capacitor.txt
- 110 B
002 BigQuery Transfer Service.txt
- 74 B
002 BigQuery documentation - BigQuery jobs.txt
- 53 B
002 BigQuery documentation - loading data into BigQuery.txt
- 52 B
002 BigQuery documentation - table schemas.txt
- 47 B
002 BigQuery documentation - views.txt
- 51 B
002 BigQuery documentation - working with external data.txt
- 56 B
002 BigQuery documentation - working with tables.txt
- 52 B
002 Using BigQuery.mp4
- 37.37 MB
003 BigQuery documentation - working with clustered tables.txt
- 56 B
003 BigQuery documentation - working with partitions.txt
- 58 B
003 Partitioning and Clustering.mp4
- 23.63 MB
004 Best Practices.mp4
- 21.64 MB
004 Controlling costs.txt
- 60 B
004 Optimising storage.txt
- 62 B
004 Query performance.txt
- 75 B
005 Cloud KMS keys.txt
- 67 B
005 Data Loss Prevention and BigQuery.txt
- 53 B
005 Encryption at rest.txt
- 58 B
005 Predefined roles and permissions.txt
- 54 B
005 Primitive roles and permissions.txt
- 70 B
005 Securing BigQuery.mp4
- 11.64 MB
006 Audit logs.txt
- 60 B
006 BigQuery Monitoring and Logging.mp4
- 9.13 MB
006 Monitoring using Stackdriver.txt
- 50 B
007 BigQuery ML documentation.txt
- 43 B
007 Machine Learning with BigQuery ML.mp4
- 10.44 MB
008 Exam Tips.mp4
- 9.24 MB
009 Dummy data files.Dummy data files
- 83.29 KB
009 LAB Working with BigQuery.mp4
- 38.57 MB
009 Lab Commands.Lab Commands
- 429 B
009 Loading CSV data from Cloud Storage.txt
- 70 B
009 Loading JSON data from Cloud Storage.txt
- 71 B
010 LAB Advanced BigQuery Features.mp4
- 58.13 MB
010 Lab Commands.Lab Commands
- 1.87 KB
10 Exploration with Cloud Datalab
001 Cloud Datalab docs.txt
- 39 B
001 Datalab Concepts.mp4
- 9.36 MB
002 LAB Working with Cloud Datalab.mp4
- 37.08 MB
003 Introduction to Jupyter Notebooks (ACG Course).txt
- 60 B
003 LAB Jupyter Notebooks in GCP.mp4
- 40.22 MB
11 Visualization with Cloud Data Studio
001 Reporting and Business Intelligence.mp4
- 7.83 MB
002 Data Distributions.mp4
- 20.83 MB
003 Introduction to Data Studio.mp4
- 7.73 MB
004 Charts and Filters.mp4
- 13.96 MB
12 Orchestration with Cloud Composer
001 Cloud Composer Overview.mp4
- 15.3 MB
002 Cloud Composer Architecture.mp4
- 8.86 MB
003 GCP Regions and Zones.txt
- 52 B
003 Lab Working with Cloud Composer.mp4
- 46.6 MB
003 War Peace at Project Gutenburg.txt
- 37 B
003 hadoop-wordcount.py.zip
- 1.19 KB
004 Advanced Cloud Composer.mp4
- 9.52 MB
004 Airflow Plugins.html
- 113.74 KB
004 Blocked Configurations.txt
- 71 B
13 Introduction to Machine Learning
001 AI at Google.txt
- 18 B
001 Google AI and machine learning products.txt
- 38 B
001 Machine Learning Introduction.mp4
- 25.62 MB
001 The difference between AI ML and deep learning.txt
- 117 B
002 L1 Regularisation.txt
- 106 B
002 L2 Regularisation.txt
- 108 B
002 Linear regression.txt
- 97 B
002 ML Terminology.txt
- 83 B
002 Machine Learning Basics.mp4
- 39.87 MB
002 Regularisation.txt
- 77 B
002 Training models.txt
- 97 B
002 Worked gradient descent example.html
- 38.46 KB
003 Difference between supervised unsupervised and reinforcement learning.txt
- 75 B
003 Introduction to clustering.txt
- 80 B
003 Introduction to linear regression.txt
- 88 B
003 Introduction to logistic regression.txt
- 90 B
003 Introduction to transfer learning.txt
- 72 B
003 Machine Learning Types and Models.mp4
- 24.91 MB
004 Cross validation.txt
- 60 B
004 Early stopping.txt
- 95 B
004 L1 Regularisation.txt
- 106 B
004 L2 Regularisation.txt
- 108 B
004 Overfitting.mp4
- 21.21 MB
004 Regularisation.txt
- 77 B
005 Hyperparameter tuning.txt
- 117 B
005 Hyperparameters and parameters.txt
- 88 B
005 Hyperparameters.mp4
- 10.02 MB
006 Cleaning data.txt
- 89 B
006 Feature Engineering.mp4
- 23.63 MB
006 Feature engineering.txt
- 95 B
14 Machine Learning with TensorFlow
001 Colab tutorial.txt
- 44 B
001 Deep Learning with TensorFlow.mp4
- 17.03 MB
001 Keras overview.txt
- 48 B
001 Keras.txt
- 17 B
001 Project Jupyter.txt
- 20 B
001 TensforFlow overview.txt
- 37 B
002 Activation functions.txt
- 81 B
002 Introduction to Artificial Neural Networks.mp4
- 45.54 MB
002 Overview of deep learning.txt
- 66 B
002 Weights and layers.txt
- 65 B
003 Neural Network Architectures.mp4
- 20.14 MB
004 Building a Neural Network.mp4
- 10.75 MB
15 Using Pre-Trained ML Cloud APIs
001 Cloud AI Cloud APIs.mp4
- 12.62 MB
002 Vision.mp4
- 26.36 MB
003 Video Intelligence.mp4
- 17.82 MB
004 Language.mp4
- 25.1 MB
005 Conversation.mp4
- 27.47 MB
006 Bleeding hand picture.txt
- 59 B
006 Cute dog picture.txt
- 66 B
006 GCP Pricing.txt
- 38 B
006 LAB Working with Cloud ML APIs.mp4
- 52.56 MB
006 Lab code.Lab code
- 3.45 KB
16 Leveraging Auto ML Platform
001 Introduction to AutoML.mp4
- 10.01 MB
002 Sight with AutoML.mp4
- 12.54 MB
003 Language with AutoML.mp4
- 11.73 MB
004 Structured Data with AutoML.mp4
- 9.71 MB
17 Operationalizing Machine Learning Models
001 Introduction to Operationalizing ML Models.mp4
- 11.33 MB
002 Kubeflow.mp4
- 7.86 MB
003 AI Platform.mp4
- 9.06 MB
18 Data Security and Industry Regulation
001 Security and Regulation Overview.mp4
- 20.65 MB
002 IAM Best Practices.mp4
- 14.83 MB
003 Data Security.mp4
- 11.83 MB
003 Security Command Center Quick Start.txt
- 75 B
004 Cloud DLP Pricing.txt
- 37 B
004 Data Privacy.mp4
- 12.77 MB
005 Complying with COPPA FAQ.txt
- 100 B
005 EU Data Protection Rules (GDPR).txt
- 149 B
005 FedRAMP FAQs.txt
- 30 B
005 GCP Compliance Resource Center.txt
- 46 B
005 Industry Regulation.mp4
- 17.15 MB
005 PCI DSS Quick Reference Guide.txt
- 85 B
19 Dataprep
001 Dataprep Overview.mp4
- 25.06 MB
002 LAB Working with Cloud Dataprep.mp4
- 59.99 MB
002 Mock data files.Mock data files
- 97.76 KB
20 Preparing for the Professional Data Engineer Exam
001 GCP Solutions Big Data.txt
- 42 B
001 Reference Architectures Big Data.mp4
- 23.31 MB
002 GCP Solutions AI ML.txt
- 45 B
002 Learn Tensorflow.txt
- 33 B
002 Reference Architectures Artificial Intelligence and Machine Learning.mp4
- 10.81 MB
003 GCP Solutions IoT.txt
- 54 B
003 Reference Architectures Internet of Things.mp4
- 11.18 MB
004 Agones Overview.txt
- 39 B
004 GCP Solutions Gaming.txt
- 38 B
004 Reference Architectures Mobile Gaming.mp4
- 13.16 MB
005 Applied Machine Learning with BigQuery (ACG).txt
- 64 B
005 AutoML Vision API Tutorial.txt
- 53 B
005 External Resources and Tutorials.mp4
- 8.73 MB
005 Introduction to Jupyter Notebooks (ACG).txt
- 60 B
005 ML Basics with Keras Tutorials.txt
- 58 B
005 Python for Beginners (ACG).txt
- 47 B
005 TensorFlow 2 Quickstart Tutorial.txt
- 57 B
005 Visualizing GCP Billing using BigQuery and Data Studio.txt
- 98 B
006 Exam Guide Breakdown.mp4
- 60.35 MB
007 What to Expect From the Exam.mp4
- 24.49 MB
008 Thank You and Good Luck.mp4
- 10.18 MB
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InfoHash:
B3E45DA38277D7F9E4EDC06C129C12FDFE2DBA90
Last updated:
Jan 25, 2022
File count:
284 B
File Category:
9
Tags:
Other, Tutorials
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