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种子名称： [FreeTutorials.Us] Udemy - gcp-data-engineer-and-cloud-architect
文件类型： 视频
文件数目： 165个文件
文件大小： 2.49 GB
收录时间： 2019-3-26 22:29
已经下载： 3次
资源热度： 126
最近下载： 2024-5-27 09:41

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[FreeTutorials.Us] Udemy - gcp-data-engineer-and-cloud-architect.torrent

01 You_ This Course and Us/001 You_ This Course and Us.mp48.59MB

02 Introduction/004 Theory_ Practice and Tests.mp413.08MB

02 Introduction/005 Why Cloud_.mp413.9MB

02 Introduction/006 Hadoop and Distributed Computing.mp415.46MB

02 Introduction/007 On-premise_ Colocation or Cloud_.mp413.78MB

02 Introduction/008 Introducing the Google Cloud Platform.mp424.75MB

02 Introduction/009 Lab_ Setting Up A GCP Account.mp419.51MB

02 Introduction/010 Lab_ Using The Cloud Shell.mp410.81MB

03 Compute Choices/011 Compute Options.mp416.91MB

03 Compute Choices/012 Google Compute Engine (GCE).mp410.1MB

03 Compute Choices/013 More GCE.mp410.66MB

03 Compute Choices/014 Lab_ Creating a VM Instance.mp410.9MB

03 Compute Choices/015 Lab_ Editing a VM Instance.mp48.62MB

03 Compute Choices/016 Lab_ Creating a VM Instance Using The Command Line.mp49.41MB

03 Compute Choices/017 Lab_ Creating And Attaching A Persistent Disk.mp410.1MB

03 Compute Choices/018 Google Container Engine - Kubernetes (GKE).mp419.07MB

03 Compute Choices/019 More GKE.mp412.83MB

03 Compute Choices/020 Lab_ Creating A Kubernetes Cluster And Deploying A Wordpress Container.mp416.23MB

03 Compute Choices/021 App Engine.mp412.69MB

03 Compute Choices/022 Contrasting App Engine_ Compute Engine and Container Engine.mp410.92MB

03 Compute Choices/023 Lab_ Deploy And Run An App Engine App.mp412.39MB

04 Storage/024 Storage Options.mp416.75MB

04 Storage/025 Quick Take.mp424.01MB

04 Storage/026 Cloud Storage.mp414.21MB

04 Storage/027 Lab_ Working With Cloud Storage Buckets.mp410.55MB

04 Storage/028 Lab_ Bucket And Object Permissions.mp410.05MB

04 Storage/029 Lab_ Life cycle Management On Buckets.mp412.35MB

04 Storage/030 Lab_ Running A Program On a VM Instance And Storing Results on Cloud Storage.mp418.11MB

04 Storage/031 Transfer Service.mp48.66MB

04 Storage/032 Lab_ Migrating Data Using The Transfer Service.mp414.29MB

05 Cloud SQL_ Cloud Spanner ~ OLTP ~ RDBMS/033 Cloud SQL.mp410.09MB

05 Cloud SQL_ Cloud Spanner ~ OLTP ~ RDBMS/034 Lab_ Creating A Cloud SQL Instance.mp420.13MB

05 Cloud SQL_ Cloud Spanner ~ OLTP ~ RDBMS/035 Lab_ Running Commands On Cloud SQL Instance.mp415.41MB

05 Cloud SQL_ Cloud Spanner ~ OLTP ~ RDBMS/036 Lab_ Bulk Loading Data Into Cloud SQL Tables.mp419.91MB

05 Cloud SQL_ Cloud Spanner ~ OLTP ~ RDBMS/037 Cloud Spanner.mp413.2MB

05 Cloud SQL_ Cloud Spanner ~ OLTP ~ RDBMS/038 More Cloud Spanner.mp417.54MB

05 Cloud SQL_ Cloud Spanner ~ OLTP ~ RDBMS/040 Lab_ Working With Cloud Spanner.mp415.64MB

07 BigTable ~ HBase = Columnar Store/042 BigTable Intro.mp410.34MB

07 BigTable ~ HBase = Columnar Store/043 Columnar Store.mp415.47MB

07 BigTable ~ HBase = Columnar Store/044 Denormalised.mp412.28MB

07 BigTable ~ HBase = Columnar Store/045 Column Families.mp410.46MB

07 BigTable ~ HBase = Columnar Store/046 BigTable Performance.mp421.87MB

07 BigTable ~ HBase = Columnar Store/048 Lab_ BigTable demo.mp412.58MB

08 Datastore ~ Document Database/049 Datastore.mp423.88MB

08 Datastore ~ Document Database/050 Lab_ Datastore demo.mp410.96MB

09 BigQuery ~ Hive ~ OLAP/051 BigQuery Intro.mp427.09MB

09 BigQuery ~ Hive ~ OLAP/052 BigQuery Advanced.mp423.82MB

09 BigQuery ~ Hive ~ OLAP/053 Lab_ Loading CSV Data Into Big Query.mp413.92MB

09 BigQuery ~ Hive ~ OLAP/054 Lab_ Running Queries On Big Query.mp414.02MB

09 BigQuery ~ Hive ~ OLAP/055 Lab_ Loading JSON Data With Nested Tables.mp412.24MB

09 BigQuery ~ Hive ~ OLAP/056 Lab_ Public Datasets In Big Query.mp414.81MB

09 BigQuery ~ Hive ~ OLAP/057 Lab_ Using Big Query Via The Command Line.mp417.66MB

09 BigQuery ~ Hive ~ OLAP/058 Lab_ Aggregations And Conditionals In Aggregations.mp423.37MB

09 BigQuery ~ Hive ~ OLAP/059 Lab_ Subqueries And Joins.mp49.88MB

09 BigQuery ~ Hive ~ OLAP/060 Lab_ Regular Expressions In Legacy SQL.mp413.86MB

09 BigQuery ~ Hive ~ OLAP/061 Lab_ Using The With Statement For SubQueries.mp418.45MB

10 Dataflow ~ Apache Beam/062 Data Flow Intro.mp416.85MB

10 Dataflow ~ Apache Beam/063 Apache Beam.mp45.06MB

10 Dataflow ~ Apache Beam/064 Lab_ Running A Python Data flow Program.mp421.71MB

10 Dataflow ~ Apache Beam/065 Lab_ Running A Java Data flow Program.mp434.57MB

10 Dataflow ~ Apache Beam/066 Lab_ Implementing Word Count In Dataflow Java.mp429.32MB

10 Dataflow ~ Apache Beam/067 Lab_ Executing The Word Count Dataflow.mp49.77MB

10 Dataflow ~ Apache Beam/068 Lab_ Executing MapReduce In Dataflow In Python.mp424.62MB

10 Dataflow ~ Apache Beam/069 Lab_ Executing MapReduce In Dataflow In Java.mp411.3MB

10 Dataflow ~ Apache Beam/070 Lab_ Dataflow With Big Query As Source And Side Inputs.mp429.48MB

10 Dataflow ~ Apache Beam/071 Lab_ Dataflow With Big Query As Source And Side Inputs 2.mp411.97MB

11 Dataproc ~ Managed Hadoop/072 Data Proc.mp412.02MB

11 Dataproc ~ Managed Hadoop/073 Lab_ Creating And Managing A Dataproc Cluster.mp419.96MB

11 Dataproc ~ Managed Hadoop/074 Lab_ Creating A Firewall Rule To Access Dataproc.mp420.63MB

11 Dataproc ~ Managed Hadoop/075 Lab_ Running A PySpark Job On Dataproc.mp417.3MB

11 Dataproc ~ Managed Hadoop/076 Lab_ Running The PySpark REPL Shell And Pig Scripts On Dataproc.mp420.59MB

11 Dataproc ~ Managed Hadoop/077 Lab_ Submitting A Spark Jar To Dataproc.mp46.5MB

11 Dataproc ~ Managed Hadoop/078 Lab_ Working With Dataproc Using The GCloud CLI.mp414.47MB

12 Pub_Sub for Streaming/079 Pub Sub.mp417.95MB

12 Pub_Sub for Streaming/080 Lab_ Working With Pubsub On The Command Line.mp410.42MB

12 Pub_Sub for Streaming/081 Lab_ Working With PubSub Using The Web Console.mp411.45MB

12 Pub_Sub for Streaming/082 Lab_ Setting Up A Pubsub Publisher Using The Python Library.mp411.02MB

12 Pub_Sub for Streaming/083 Lab_ Setting Up A Pubsub Subscriber Using The Python Library.mp48.6MB

12 Pub_Sub for Streaming/084 Lab_ Publishing Streaming Data Into Pubsub.mp414.46MB

12 Pub_Sub for Streaming/085 Lab_ Reading Streaming Data From PubSub And Writing To BigQuery.mp429.5MB

12 Pub_Sub for Streaming/086 Lab_ Executing A Pipeline To Read Streaming Data And Write To BigQuery.mp417.26MB

12 Pub_Sub for Streaming/087 Lab_ Pubsub Source BigQuery Sink.mp426.5MB

13 Datalab ~ Jupyter/088 Data Lab.mp45.09MB

13 Datalab ~ Jupyter/089 Lab_ Creating And Working On A Datalab Instance.mp423.69MB

13 Datalab ~ Jupyter/090 Lab_ Importing And Exporting Data Using Datalab.mp421.05MB

13 Datalab ~ Jupyter/091 Lab_ Using The Charting API In Datalab.mp417.34MB

14 TensorFlow and Machine Learning/092 Introducing Machine Learning.mp413.36MB

14 TensorFlow and Machine Learning/093 Representation Learning.mp413.23MB

14 TensorFlow and Machine Learning/094 NN Introduced.mp414.04MB

14 TensorFlow and Machine Learning/095 Introducing TF.mp49.21MB

14 TensorFlow and Machine Learning/096 Lab_ Simple Math Operations.mp418.9MB

14 TensorFlow and Machine Learning/097 Computation Graph.mp417.91MB

14 TensorFlow and Machine Learning/098 Tensors.mp415.15MB

14 TensorFlow and Machine Learning/099 Lab_ Tensors.mp48.37MB

14 TensorFlow and Machine Learning/100 Linear Regression Intro.mp416.98MB

14 TensorFlow and Machine Learning/101 Placeholders and Variables.mp411.45MB

14 TensorFlow and Machine Learning/102 Lab_ Placeholders.mp414.86MB

14 TensorFlow and Machine Learning/103 Lab_ Variables.mp418.48MB

14 TensorFlow and Machine Learning/104 Lab_ Linear Regression with Made-up Data.mp411.28MB

14 TensorFlow and Machine Learning/105 Image Processing.mp414.21MB

14 TensorFlow and Machine Learning/106 Images As Tensors.mp415.35MB

14 TensorFlow and Machine Learning/107 Lab_ Reading and Working with Images.mp420.29MB

14 TensorFlow and Machine Learning/108 Lab_ Image Transformations.mp415.22MB

14 TensorFlow and Machine Learning/109 Introducing MNIST.mp47.9MB

14 TensorFlow and Machine Learning/110 K-Nearest Neigbors as Unsupervised Learning.mp49.27MB

14 TensorFlow and Machine Learning/111 One-hot Notation and L1 Distance.mp412.56MB

14 TensorFlow and Machine Learning/112 Steps in the K-Nearest-Neighbors Implementation.mp416.42MB

14 TensorFlow and Machine Learning/113 Lab_ K-Nearest-Neighbors.mp431.78MB

14 TensorFlow and Machine Learning/114 Learning Algorithm.mp418.97MB

14 TensorFlow and Machine Learning/115 Individual Neuron.mp412.71MB

14 TensorFlow and Machine Learning/116 Learning Regression.mp413.52MB

14 TensorFlow and Machine Learning/117 Learning XOR.mp413.4MB

14 TensorFlow and Machine Learning/118 XOR Trained.mp415.15MB

15 Regression in TensorFlow/119 Lab_ Access Data from Yahoo Finance.mp45.35MB

15 Regression in TensorFlow/120 Non TensorFlow Regression.mp410.18MB

15 Regression in TensorFlow/121 Lab_ Linear Regression - Setting Up a Baseline.mp418.52MB

15 Regression in TensorFlow/122 Gradient Descent.mp417.12MB

15 Regression in TensorFlow/123 Lab_ Linear Regression.mp432.17MB

15 Regression in TensorFlow/124 Lab_ Multiple Regression in TensorFlow.mp423.44MB

15 Regression in TensorFlow/125 Logistic Regression Introduced.mp417.09MB

15 Regression in TensorFlow/126 Linear Classification.mp46.92MB

15 Regression in TensorFlow/127 Lab_ Logistic Regression - Setting Up a Baseline.mp421.74MB

15 Regression in TensorFlow/128 Logit.mp414.29MB

15 Regression in TensorFlow/129 Softmax.mp420.42MB

15 Regression in TensorFlow/130 Argmax.mp415.13MB

15 Regression in TensorFlow/131 Lab_ Logistic Regression.mp425.87MB

15 Regression in TensorFlow/132 Estimators.mp45.29MB

15 Regression in TensorFlow/133 Lab_ Linear Regression using Estimators.mp415.66MB

15 Regression in TensorFlow/134 Lab_ Logistic Regression using Estimators.mp410.1MB

16 Vision_ Translate_ NLP and Speech_ Trained ML APIs/135 Lab_ Taxicab Prediction - Setting up the dataset.mp425.67MB

16 Vision_ Translate_ NLP and Speech_ Trained ML APIs/136 Lab_ Taxicab Prediction - Training and Running the model.mp421.14MB

16 Vision_ Translate_ NLP and Speech_ Trained ML APIs/137 Lab_ The Vision_ Translate_ NLP and Speech API.mp421.51MB

16 Vision_ Translate_ NLP and Speech_ Trained ML APIs/138 Lab_ The Vision API for Label and Landmark Detection.mp414.14MB

17 Networking/139 Virtual Private Clouds.mp412.56MB

17 Networking/140 VPC and Firewalls.mp416.64MB

17 Networking/141 XPC or Shared VPC.mp410.08MB

17 Networking/142 VPN.mp416.24MB

17 Networking/143 Types of Load Balancing.mp48.97MB

17 Networking/144 Proxy and Pass-through load balancing.mp413.95MB

17 Networking/145 Internal load balancing.mp411.15MB

18 Ops and Security/146 StackDriver.mp416MB

18 Ops and Security/147 StackDriver Logging.mp49.66MB

18 Ops and Security/148 Cloud Deployment Manager.mp410.74MB

18 Ops and Security/149 Cloud Endpoints.mp47.07MB

18 Ops and Security/150 Security and Service Accounts.mp413.89MB

18 Ops and Security/151 OAuth and End-user accounts.mp411.33MB

18 Ops and Security/152 Identity and Access Management.mp411.25MB

18 Ops and Security/153 Data Protection.mp415.47MB

19 Appendix_ Hadoop Ecosystem/154 Introducing the Hadoop Ecosystem.mp42.37MB

19 Appendix_ Hadoop Ecosystem/155 Hadoop.mp419.66MB

19 Appendix_ Hadoop Ecosystem/156 HDFS.mp428.51MB

19 Appendix_ Hadoop Ecosystem/157 MapReduce.mp426.39MB

19 Appendix_ Hadoop Ecosystem/158 Yarn.mp410.47MB

19 Appendix_ Hadoop Ecosystem/159 Hive.mp421.72MB

19 Appendix_ Hadoop Ecosystem/160 Hive vs_ RDBMS.mp411.33MB

19 Appendix_ Hadoop Ecosystem/161 HQL vs_ SQL.mp416.67MB

19 Appendix_ Hadoop Ecosystem/162 OLAP in Hive.mp410.68MB

19 Appendix_ Hadoop Ecosystem/163 Windowing Hive.mp420.23MB

19 Appendix_ Hadoop Ecosystem/164 Pig.mp413.81MB

19 Appendix_ Hadoop Ecosystem/165 More Pig.mp417.39MB

19 Appendix_ Hadoop Ecosystem/166 Spark.mp419.86MB

19 Appendix_ Hadoop Ecosystem/167 More Spark.mp419.11MB

19 Appendix_ Hadoop Ecosystem/168 Streams Intro.mp418.36MB

19 Appendix_ Hadoop Ecosystem/169 Microbatches.mp410.57MB

19 Appendix_ Hadoop Ecosystem/170 Window Types.mp410.13MB