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Название [FreeCoursesOnline.Me] A Cloud Guru - Google Certified Professional Data Engineer
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0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url 377б
001 AI at Google.txt 18б
001 Apache Beam overview.txt 51б
001 Apache Beam programming model.txt 71б
001 BigQuery Basics.mp4 15.30Мб
001 BigQuery documentation - working with datasets.txt 54б
001 BigQuery main page.txt 35б
001 Bigtable Concepts.mp4 13.93Мб
001 Cloud AI Cloud APIs.mp4 12.62Мб
001 Cloud Composer Overview.mp4 15.30Мб
001 Cloud Datalab docs.txt 39б
001 Colab tutorial.txt 44б
001 Dataflow Introduction.mp4 15.39Мб
001 Datalab Concepts.mp4 9.36Мб
001 Dataprep Overview.mp4 25.06Мб
001 Data Processing Concepts.mp4 93.68Мб
001 Dataproc Overview.mp4 8.89Мб
001 Deep Learning with TensorFlow.mp4 17.03Мб
001 GCP Solutions Big Data.txt 42б
001 Google AI and machine learning products.txt 38б
001 Interacting with BigQuery.txt 65б
001 Introduction to AutoML.mp4 10.01Мб
001 Introduction to Data Storage in GCP.mp4 59.10Мб
001 Introduction to Operationalizing ML Models.mp4 11.33Мб
001 Keras.txt 17б
001 Keras overview.txt 48б
001 Machine Learning Introduction.mp4 25.62Мб
001 MapReduce.mp4 48.99Мб
001 MapReduce research paper.pdf 186.24Кб
001 Project Jupyter.txt 20б
001 PubSub Concepts.mp4 51.34Мб
001 Reference Architectures Big Data.mp4 23.31Мб
001 Reporting and Business Intelligence.mp4 7.83Мб
001 Security and Regulation Overview.mp4 20.65Мб
001 TensforFlow overview.txt 37б
001 The difference between AI ML and deep learning.txt 117б
001 Welcome.mp4 30.15Мб
002 About This Course.mp4 48.42Мб
002 Activation functions.txt 81б
002 BigQuery Capacitor.txt 110б
002 BigQuery documentation - BigQuery jobs.txt 53б
002 BigQuery documentation - loading data into BigQuery.txt 52б
002 BigQuery documentation - table schemas.txt 47б
002 BigQuery documentation - views.txt 51б
002 BigQuery documentation - working with external data.txt 56б
002 BigQuery documentation - working with tables.txt 52б
002 BigQuery Transfer Service.txt 74б
002 Bigtable Application Profiles.txt 52б
002 Bigtable Architecture.mp4 15.18Мб
002 Bigtable IAM Roles.txt 54б
002 Bigtable Quotas Limits.txt 41б
002 Cloud Composer Architecture.mp4 8.86Мб
002 Data Distributions.mp4 20.83Мб
002 Dataproc Basics.mp4 8.31Мб
002 Data Processing Pipelines.mp4 18.79Мб
002 GCP Solutions AI ML.txt 45б
002 Hadoop HDFS.mp4 22.79Мб
002 IAM Best Practices.mp4 14.83Мб
002 Introduction to Artificial Neural Networks.mp4 45.54Мб
002 Kubeflow.mp4 7.86Мб
002 L1 Regularisation.txt 106б
002 L2 Regularisation.txt 108б
002 LAB Working with Cloud Datalab.mp4 37.08Мб
002 LAB Working with Cloud Dataprep.mp4 59.99Мб
002 Learn Tensorflow.txt 33б
002 Linear regression.txt 97б
002 Machine Learning Basics.mp4 39.87Мб
002 ML Terminology.txt 83б
002 Mock data files.Mock data files 97.76Кб
002 Overview of deep learning.txt 66б
002 Pipeline Lifecycle.mp4 16.12Мб
002 PubSub Basics.mp4 8.90Мб
002 Reference Architectures Artificial Intelligence and Machine Learning.mp4 10.81Мб
002 Regularisation.txt 77б
002 Sight with AutoML.mp4 12.54Мб
002 Training models.txt 97б
002 Using BigQuery.mp4 37.37Мб
002 Vision.mp4 26.36Мб
002 Weights and layers.txt 65б
002 Worked gradient descent example.html 38.46Кб
002 Working with Data.mp4 16.16Мб
003 AI Platform.mp4 9.06Мб
003 Apache Pig.mp4 7.43Мб
003 BigQuery documentation - working with clustered tables.txt 56б
003 BigQuery documentation - working with partitions.txt 58б
003 Bigtable Data Model.mp4 10.23Мб
003 Bigtable Garbage Collection Defaults.txt 67б
003 Cloud Storage.mp4 23.08Мб
003 Course Audience and Prerequisites.mp4 12.35Мб
003 Dataflow Pipeline Concepts.mp4 15.22Мб
003 Data Security.mp4 11.83Мб
003 Difference between supervised unsupervised and reinforcement learning.txt 75б
003 Estimating Pi using the Monte Carlo method.txt 53б
003 GCP Regions and Zones.txt 52б
003 GCP Solutions IoT.txt 54б
003 GCS Documentation.txt 39б
003 GCS Pricing.txt 41б
003 hadoop-wordcount.py.zip 1.19Кб
003 Introduction to clustering.txt 80б
003 Introduction to Data Studio.mp4 7.73Мб
003 Introduction to Jupyter Notebooks (ACG Course).txt 60б
003 Introduction to linear regression.txt 88б
003 Introduction to logistic regression.txt 90б
003 Introduction to transfer learning.txt 72б
003 LAB Jupyter Notebooks in GCP.mp4 40.22Мб
003 Lab Working with Cloud Composer.mp4 46.60Мб
003 LAB Working with Cloud Dataproc.mp4 20.96Мб
003 LAB Working with Cloud PubSub.mp4 31.70Мб
003 Language with AutoML.mp4 11.73Мб
003 Machine Learning Types and Models.mp4 24.91Мб
003 Monte Carlo method.txt 49б
003 Neural Network Architectures.mp4 20.14Мб
003 Partitioning and Clustering.mp4 23.63Мб
003 Reference Architectures Internet of Things.mp4 11.18Мб
003 Security Command Center Quick Start.txt 75б
003 Submitting jobs to Cloud Dataproc.txt 57б
003 Video Intelligence.mp4 17.82Мб
003 War Peace at Project Gutenburg.txt 37б
004 Advanced Cloud Composer.mp4 9.52Мб
004 Advanced Dataflow Concepts.mp4 15.18Мб
004 Advanced Dataproc.mp4 15.83Мб
004 Agones Overview.txt 39б
004 Airflow Plugins.html 113.74Кб
004 Apache Spark.mp4 30.23Мб
004 Autoscaling Clusters.txt 81б
004 Best Practices.mp4 21.64Мб
004 Blocked Configurations.txt 71б
004 bored.py 1005б
004 Building a Neural Network.mp4 10.75Мб
004 cbt Reference.txt 53б
004 Charts and Filters.mp4 13.96Мб
004 Cloud Bigtable examples.txt 67б
004 Cloud DLP Pricing.txt 37б
004 Concepts.txt 71б
004 Controlling costs.txt 60б
004 Cross validation.txt 60б
004 Data Privacy.mp4 12.77Мб
004 Dataproc Cluster Properties.txt 88б
004 Dataproc IAM.txt 56б
004 Early stopping.txt 95б
004 GCP Samples (C).txt 59б
004 GCP Samples (Go).txt 54б
004 GCP Samples (Java).txt 57б
004 GCP Samples (PHP).txt 56б
004 GCP Samples (Python).txt 59б
004 GCP Samples (Ruby).txt 57б
004 GCP Solutions Gaming.txt 38б
004 GCS Access Control Lists (ACLs).txt 73б
004 GCS IAM Permissions.txt 75б
004 L1 Regularisation.txt 106б
004 L2 Regularisation.txt 108б
004 LAB Cloud PubSub Client Libraries.mp4 40.61Мб
004 Lab commands.Lab commands 1.14Кб
004 LAB Working with Cloud Bigtable.mp4 51.77Мб
004 Language.mp4 25.10Мб
004 Node.txt 44б
004 Optimising storage.txt 62б
004 Overfitting.mp4 21.21Мб
004 Query performance.txt 75б
004 Reference Architectures Mobile Gaming.mp4 13.16Мб
004 Regularisation.txt 77б
004 Service Accounts.mp4 14.87Мб
004 Structured Data with AutoML.mp4 9.71Мб
005 Advanced PubSub.mp4 17.30Мб
005 Apache Kafka.mp4 17.08Мб
005 Applied Machine Learning with BigQuery (ACG).txt 64б
005 AutoML Vision API Tutorial.txt 53б
005 BigQuery Data Transfer Service.txt 44б
005 Bigtable Schema Design.mp4 16.63Мб
005 Cloud KMS keys.txt 67б
005 Cloud Storage Transfer Service.txt 48б
005 Complying with COPPA FAQ.txt 100б
005 Conversation.mp4 27.47Мб
005 Dataflow Security and Access.mp4 17.06Мб
005 Data Loss Prevention and BigQuery.txt 53б
005 Data Transfer Services.mp4 8.90Мб
005 Encryption at rest.txt 58б
005 EU Data Protection Rules (GDPR).txt 149б
005 External Resources and Tutorials.mp4 8.73Мб
005 FedRAMP FAQs.txt 30б
005 GCP Compliance Resource Center.txt 46б
005 Hyperparameters.mp4 10.02Мб
005 Hyperparameters and parameters.txt 88б
005 Hyperparameter tuning.txt 117б
005 Industry Regulation.mp4 17.15Мб
005 Introduction to Jupyter Notebooks (ACG).txt 60б
005 LAB Cloud Dataproc with the GCS Connector.mp4 25.03Мб
005 ML Basics with Keras Tutorials.txt 58б
005 PCI DSS Quick Reference Guide.txt 85б
005 Predefined roles and permissions.txt 54б
005 Primitive roles and permissions.txt 70б
005 Project Gutenberg.txt 37б
005 PubSub IAM Roles.txt 67б
005 PubSub Stackdriver Metrics.txt 63б
005 Python for Beginners (ACG).txt 47б
005 Securing BigQuery.mp4 11.64Мб
005 TensorFlow 2 Quickstart Tutorial.txt 57б
005 Visualizing Cloud Bigtable Access Patterns at Twitter for Optimizing Analytics (YouTube).txt 44б
005 Visualizing GCP Billing using BigQuery and Data Studio.txt 98б
005 wordcount.py 1.02Кб
006 Audit logs.txt 60б
006 BigQuery Monitoring and Logging.mp4 9.13Мб
006 Bigtable Advanced Concepts.mp4 14.29Мб
006 Bleeding hand picture.txt 59б
006 Cleaning data.txt 89б
006 Cloud SQL.mp4 22.61Мб
006 Cloud SQL Documentation.txt 35б
006 Cute dog picture.txt 66б
006 Deploying a pipeline.txt 67б
006 Exam Guide Breakdown.mp4 60.35Мб
006 Exam Tips.mp4 8.63Мб
006 Feature Engineering.mp4 23.63Мб
006 Feature engineering.txt 95б
006 GCP Pricing.txt 38б
006 Lab code.Lab code 3.45Кб
006 LAB Loosely Coupled Services with Cloud PubSub.mp4 35.77Мб
006 LAB Working with Cloud ML APIs.mp4 52.56Мб
006 Monitoring a Cloud Bigtable Instance.txt 59б
006 Monitoring using Stackdriver.txt 50б
006 Replicating from an external server.txt 68б
006 Requirements and tips for configuring replication.txt 57б
006 Source Code gen_thumbnail.Source Code gen_thumbnail 2.32Кб
006 Using Dataflow.mp4 22.15Мб
007 BigQuery ML documentation.txt 43б
007 Cloud Bigtable examples.txt 63б
007 dataloader.py 970б
007 Exam Tips.mp4 10.41Мб
007 Fire Weather Index (FWI) System.txt 74б
007 forestfires.csv 7.65Кб
007 Forest Fires dataset.txt 53б
007 forumdb.sql 65.50Кб
007 LAB Creating a Cloud SQL Instance and Loading Data.mp4 29.54Мб
007 LAB Loading and Querying Data with Cloud Bigtable.mp4 40.71Мб
007 LAB Stream Data through Cloud PubSub to BigQuery.mp4 59.58Мб
007 Machine Learning with BigQuery ML.mp4 10.44Мб
007 MOCK_DATA.csv 39.22Кб
007 transactions.py 1.09Кб
007 What to Expect From the Exam.mp4 24.49Мб
008 Cloud Firestore.mp4 23.60Мб
008 Cloud Firestore Documentation.txt 41б
008 Exam Tips.mp4 10.97Мб
008 Exam Tips.mp4 9.58Мб
008 Exam Tips.mp4 9.24Мб
008 Lab Commands.Lab Commands 586б
008 LAB Working with Cloud Dataflow.mp4 31.60Мб
008 Thank You and Good Luck.mp4 10.18Мб
009 ANSI SQL best practices.txt 57б
009 Beam Programming Guide.txt 57б
009 CAP Theorem.txt 42б
009 Cloud Spanner.mp4 28.26Мб
009 Cloud Spanner Documentation.txt 39б
009 Distributed database quorums.txt 61б
009 Dummy data files.Dummy data files 83.29Кб
009 Lab Code.Lab Code 3.07Кб
009 Lab Commands.Lab Commands 479б
009 Lab Commands.Lab Commands 429б
009 LAB Streaming Pipelines with Cloud Dataflow.mp4 60.04Мб
009 LAB Working with BigQuery.mp4 38.57Мб
009 Loading CSV data from Cloud Storage.txt 70б
009 Loading JSON data from Cloud Storage.txt 71б
009 Multi-regional best practices.txt 76б
009 Regional best practices.txt 72б
010 GCP Samples (C).txt 59б
010 GCP Samples (Go).txt 54б
010 GCP Samples (Java).txt 57б
010 GCP Samples (PHP).txt 56б
010 GCP Samples (Python).txt 59б
010 GCP Samples (Ruby).txt 57б
010 LAB Advanced BigQuery Features.mp4 58.13Мб
010 Lab Commands.Lab Commands 1.87Кб
010 LAB Working with Cloud Spanner.mp4 21.85Мб
010 Node.txt 45б
010 spannerlab-schema.sql 349б
011 Cloud Memorystore.mp4 10.39Мб
011 Cloud Memorystore Documentation.txt 49б
012 LAB Working with Cloud Memorystore.mp4 35.96Мб
012 Redis-CLI Documentation.txt 33б
012 Retwis GitHub repo.txt 46б
013 Comparing Storage Options.mp4 14.66Мб
014 Exam Tips.mp4 6.93Мб
1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url 286б
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How you can help our Group!.txt 208б
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