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- 【影视】 data
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收录时间:2021-03-11
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video/IntroVideo0.avi 325.8 MB
update driver/BV-21 Basler/Basler_pylon_5.0.9.10388.exe 184.1 MB
tts/korea_cache.zip 73.2 MB
Troll.dll 42.5 MB
trees/Taiwan01.zip 38.2 MB
trees/Jeju02.zip 38.0 MB
trees/Augusta national.zip 36.5 MB
ffmpeg.exe 36.5 MB
trees/China02.zip 32.2 MB
trees/Greenhill.zip 32.1 MB
trees/Korea01.zip 30.9 MB
trees/National.zip 30.8 MB
trees/Seaside.zip 30.8 MB
trees/Newspring.zip 30.5 MB
trees/Jungle.zip 30.5 MB
trees/vietnam01.zip 29.6 MB
trees/Montana.zip 29.6 MB
trees/China01.zip 28.9 MB
trees/Desert01.zip 27.0 MB
trees/Field02.zip 25.6 MB
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- 【影视】 Udemy - R Programming Advanced Analytics In R For Data Science
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2. Data Preparation/3. Updates on Udemy Reviews.mp4 61.2 MB
3. Lists in R/2. Project Brief Machine Utilization.mp4 55.7 MB
4. Apply Family of Functions/15. THANK YOU bonus video.mp4 54.8 MB
2. Data Preparation/17. Replacing Missing Data Median Imputation Method (Part 1).mp4 51.3 MB
2. Data Preparation/11. An Elegant Way To Locate Missing Data.mp4 50.8 MB
2. Data Preparation/9. Dealing with Missing Data.mp4 44.6 MB
2. Data Preparation/15. Reseting the dataframe index.mp4 41.1 MB
4. Apply Family of Functions/7. Using lapply().mp4 40.6 MB
3. Lists in R/4. Handling Date-Times in R.mp4 40.5 MB
3. Lists in R/10. Creating A Timeseries Plot.mp4 40.1 MB
3. Lists in R/5. R programming What is a List.mp4 37.7 MB
4. Apply Family of Functions/10. Using sapply().mp4 36.6 MB
2. Data Preparation/8. gsub() and sub().mp4 34.7 MB
3. Lists in R/8. Adding and deleting components.mp4 34.1 MB
4. Apply Family of Functions/12. which.max() and which.min() (advanced topic).mp4 34.0 MB
2. Data Preparation/21. Visualizing results.mp4 33.4 MB
2. Data Preparation/12. Data Filters which() for Non-Missing Data.mp4 31.4 MB
2. Data Preparation/5. What are Factors (Refresher).mp4 30.6 MB
1. Welcome To The Course/1. Welcome to the Advanced R Programming Course!.mp4 30.5 MB
4. Apply Family of Functions/3. Import Data into R.mp4 29.4 MB
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- 【影视】 Data Science for Business Analytics and Intelligence
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收录时间:2021-03-11
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[TutsNode.com] - Data Science for Business Analytics and Intelligence/2. Hands-on lessons/2. Cleaning our customer dataset.mp4 214.1 MB
[TutsNode.com] - Data Science for Business Analytics and Intelligence/2. Hands-on lessons/3. Revenue Analysis and Data pre-processing.mp4 200.8 MB
[TutsNode.com] - Data Science for Business Analytics and Intelligence/2. Hands-on lessons/4. Using Machine Learning to predict revenue.mp4 192.9 MB
[TutsNode.com] - Data Science for Business Analytics and Intelligence/2. Hands-on lessons/1. Understanding and optimizing customer datasets.mp4 164.3 MB
[TutsNode.com] - Data Science for Business Analytics and Intelligence/2. Hands-on lessons/1.1 Understanding and optimizing customer datasets.zip 48.8 MB
[TutsNode.com] - Data Science for Business Analytics and Intelligence/2. Hands-on lessons/2.1 Cleaning our customer dataset.zip 32.3 MB
[TutsNode.com] - Data Science for Business Analytics and Intelligence/2. Hands-on lessons/3.1 Revenue Analysis and Data pre-processing.zip 30.7 MB
[TutsNode.com] - Data Science for Business Analytics and Intelligence/1. Welcome to the course!/1. Welcome to the course!.mp4 23.5 MB
[TutsNode.com] - Data Science for Business Analytics and Intelligence/2. Hands-on lessons/4.1 Using Machine Learning to predict revenue.zip 20.6 MB
[TutsNode.com] - Data Science for Business Analytics and Intelligence/1. Welcome to the course!/2. Overview of the learning methodology.mp4 13.0 MB
[TutsNode.com] - Data Science for Business Analytics and Intelligence/3. End of Course/1. End of Course.mp4 9.6 MB
[TutsNode.com] - Data Science for Business Analytics and Intelligence/2. Hands-on lessons/3. Revenue Analysis and Data pre-processing.srt 20.5 kB
[TutsNode.com] - Data Science for Business Analytics and Intelligence/2. Hands-on lessons/2. Cleaning our customer dataset.srt 19.6 kB
[TutsNode.com] - Data Science for Business Analytics and Intelligence/2. Hands-on lessons/4. Using Machine Learning to predict revenue.srt 19.0 kB
[TutsNode.com] - Data Science for Business Analytics and Intelligence/2. Hands-on lessons/1. Understanding and optimizing customer datasets.srt 15.2 kB
[TutsNode.com] - Data Science for Business Analytics and Intelligence/1. Welcome to the course!/2. Overview of the learning methodology.srt 2.4 kB
[TutsNode.com] - Data Science for Business Analytics and Intelligence/1. Welcome to the course!/1. Welcome to the course!.srt 1.6 kB
[TutsNode.com] - Data Science for Business Analytics and Intelligence/3. End of Course/1. End of Course.srt 600 Bytes
[TGx]Downloaded from torrentgalaxy.to .txt 585 Bytes
TutsNode.com.txt 63 Bytes
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- 【影视】 [FreeCourseSite.com] Udemy - Python for Data Science and Machine Learning Bootcamp
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文档个数:304
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26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4 164.3 MB
26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp4 99.2 MB
26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp4 98.7 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp4 72.6 MB
25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
26. Neural Nets and Deep Learning/6. MNIST - Part One.mp4 61.2 MB
25. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 58.4 MB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4 55.2 MB
1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip.zip 55.0 MB
2. Environment Set-Up/1.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
3. Jupyter Overview/2.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp4 53.9 MB
11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp4 53.6 MB
13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp4 52.2 MB
24. Natural Language Processing/6. NLP Project Solutions.mp4 50.4 MB
20. Support Vector Machines/2. Support Vector Machines with Python.mp4 49.8 MB
13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp4 49.6 MB
21. K Means Clustering/4. K Means Project Solutions.mp4 49.4 MB
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- 【影视】 [UdemyCourseDownloader] Python Pandas and Altair Data Science & Visualization Course
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收录时间:2021-03-11
文档个数:192
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03. Python 3 on Raspberry Pi/4. Raspberry Pi Raspbian OS Setup Part 1.mp4 240.3 MB
21. Basic Altair Visualization/3. Encodings in Altair.mp4 231.7 MB
18. Python and MySQL/1. MySQL Installation on Windows.mp4 222.7 MB
11. Array Manipulation/1. Array Manipulation.mp4 198.8 MB
03. Python 3 on Raspberry Pi/5. Raspberry Pi Raspbian OS Setup Part 2.mp4 192.9 MB
18. Python and MySQL/2. Getting Started with MySQL and SQL Workbench.mp4 182.2 MB
07. Jupyter Notebook/6. A brief tour of Jupyter.mp4 160.5 MB
14. Plotting in Detail/3. Grid Axes and Labels.mp4 138.1 MB
08. Getting Started with NumPy/2. Ndarrays Indexing and Slicing.mp4 135.4 MB
03. Python 3 on Raspberry Pi/6. Remote Connection with VNC.mp4 128.6 MB
18. Python and MySQL/4. Explore MySQL Workbench.mp4 117.6 MB
17. Data Acquisition with Python, NumPy, and Matplotlib/3. Excel Files.mp4 116.4 MB
07. Jupyter Notebook/1. Jupyter and IPython.mp4 116.2 MB
21. Basic Altair Visualization/1. Installation and Basics.mp4 113.4 MB
19. Series and DataFrames in Pandas/2. DataFrames.mp4 110.3 MB
09. Creation of Arrays and Matplotlib/4. Numerical Ranges and Visualization.mp4 107.8 MB
18. Python and MySQL/6. Connect to MySQL with Python 3.mp4 102.8 MB
16. Matrices and Linear Algebra/6. Linear Algebra with SciPy.mp4 98.5 MB
18. Python and MySQL/7. Execute DDL.mp4 96.3 MB
18. Python and MySQL/8. INSERT.mp4 95.7 MB
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- 【影视】 [DesireCourse.Net] Udemy - Machine Learning, Data Science and Deep Learning with Python
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收录时间:2021-03-10
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6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 210.3 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 200.3 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 198.9 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 197.7 MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 191.1 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 175.5 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 167.4 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 163.9 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 163.4 MB
5. Recommender Systems/3. [Activity] Finding Movie Similarities.mp4 159.4 MB
6. More Data Mining and Machine Learning Techniques/5. Data Warehousing Overview ETL and ELT.mp4 158.0 MB
2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
4. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.mp4 152.0 MB
3. Predictive Models/1. [Activity] Linear Regression.mp4 151.4 MB
9. Experimental Design ML in the Real World/2. AB Testing Concepts.mp4 148.7 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
8. Apache Spark Machine Learning on Big Data/6. Spark and the Resilient Distributed Dataset (RDD).mp4 147.4 MB
9. Experimental Design ML in the Real World/6. AB Test Gotchas.mp4 146.6 MB
5. Recommender Systems/4. [Activity] Improving the Results of Movie Similarities.mp4 143.1 MB
4. Machine Learning with Python/12. [Activity] Decision Trees Predicting Hiring Decisions.mp4 140.9 MB
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- 【影视】 [Нетология] Профессия - Data Scientist (2019)
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收录时间:2021-03-10
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06. Рекомендательные системы/4. Рекомендации на основе скрытых факторов/7.mp4 894.7 MB
06. Рекомендательные системы/5. Гибридные рекомендатльные системы/2.mp4 894.5 MB
07. Обработка естественного языка/4. Задача классификации в АОТ/5.mp4 894.5 MB
07. Обработка естественного языка/4. Задача классификации в АОТ/1.mp4 894.5 MB
07. Обработка естественного языка/2. Морфологический и синтаксический анализ/3.mp4 894.5 MB
06. Рекомендательные системы/4. Рекомендации на основе скрытых факторов/1.mp4 894.5 MB
07. Обработка естественного языка/4. Задача классификации в АОТ/2.mp4 894.5 MB
07. Обработка естественного языка/3. Векторная модель и методы снижения размерности. Информационный поиск/5.mp4 894.4 MB
07. Обработка естественного языка/1. Введение в обработку текста/1.mp4 894.3 MB
06. Рекомендательные системы/7. Приглашенный лектор E-Contenta/5.mp4 894.3 MB
06. Рекомендательные системы/7. Приглашенный лектор E-Contenta/1.mp4 894.2 MB
06. Рекомендательные системы/5. Гибридные рекомендатльные системы/6.mp4 894.2 MB
06. Рекомендательные системы/4. Рекомендации на основе скрытых факторов/6.mp4 894.2 MB
07. Обработка естественного языка/3. Векторная модель и методы снижения размерности. Информационный поиск/2.mp4 894.2 MB
07. Обработка естественного языка/3. Векторная модель и методы снижения размерности. Информационный поиск/1.mp4 894.2 MB
07. Обработка естественного языка/4. Задача классификации в АОТ/6.mp4 894.2 MB
07. Обработка естественного языка/4. Задача классификации в АОТ/3.mp4 894.2 MB
06. Рекомендательные системы/5. Гибридные рекомендатльные системы/1.mp4 894.1 MB
06. Рекомендательные системы/4. Рекомендации на основе скрытых факторов/2.mp4 894.1 MB
07. Обработка естественного языка/1. Введение в обработку текста/6.mp4 894.1 MB
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- 【影视】 [FreeTutorials.Us] [UDEMY] Mastering Data Analysis in Excel FTU]
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文档个数:115
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人气:1699
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4. PivotTable for Data Analysis/2. Calculations by PivotTable.mp4 148.1 MB
3. 50 Most Frequently Used Functions/1. Logical Functions IF, AND, OR.mp4 147.6 MB
3. 50 Most Frequently Used Functions/3. Text Fuctions RIGHT, LEFT, LEN, CONCATENATE, UPPER, LOWER.mp4 128.4 MB
3. 50 Most Frequently Used Functions/5. Math Functions SUMIF, COUNTIF, SUMIFS, COUNTIFS.mp4 122.4 MB
2. Cleaning and Preparing Tools/5. Data Validation.mp4 107.7 MB
6. Merging Techniques/1. VLOOKUP With Exact Match.mp4 106.4 MB
3. 50 Most Frequently Used Functions/6. Statistical Functions MAX, MIN, MEAN, MEDIAN, MODE, VAR, StdDev, CORREL.mp4 104.7 MB
2. Cleaning and Preparing Tools/2. Sort and Filter.mp4 100.1 MB
5. What-If Analysis/1. What-If Analysis Goal Seek.mp4 98.1 MB
6. Merging Techniques/2. INDEX and MATCH vs VLOOKUP.mp4 96.0 MB
3. 50 Most Frequently Used Functions/2. SUBTOTAL vs SUM.mp4 93.5 MB
4. PivotTable for Data Analysis/1. Introduction to PivotTable.mp4 90.5 MB
2. Cleaning and Preparing Tools/3. Text to Columns.mp4 74.9 MB
8. Visualizing Data/1. Conditional Formatting.mp4 73.7 MB
6. Merging Techniques/3. VLOOKUP With Approximate Match.mp4 71.4 MB
3. 50 Most Frequently Used Functions/4. Date Functions YEAR, MONTH, DAY, EOMONTH, DATE.mp4 66.8 MB
3. 50 Most Frequently Used Functions/7. Financial Functions PMT, PV, RATE, NPER, NPV, IRR.mp4 66.2 MB
9. Data Analysis ToolPak/5. Correlation.mp4 64.3 MB
2. Cleaning and Preparing Tools/4. Remove Duplicates.mp4 64.2 MB
9. Data Analysis ToolPak/7. Explanation of Regression Output.mp4 63.6 MB
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- 【影视】 Python Data Analysis with Pandas Library [UdemyLibrary.com]
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7. Indexing/2. Indexing Part2.mp4 623.6 MB
8. Dataframes Merging and Concatenating/2. Dataframes Merging and Concatenating.mp4 519.4 MB
2. Pandas Data Structures - Series/1. Pandas Data Structures - Series.mp4 151.9 MB
5. Selecting columns & rows from a Dataframe/1. Selecting columns & rows from a Dataframe.mp4 147.0 MB
3. Pandas Data Structures - Dataframes/1. Dataframes.mp4 105.1 MB
4. Playing with Dataframes/1. Playing with Dataframes.mp4 94.0 MB
6. Subsetting of Dataframes/1. Subsetting of Dataframes.mp4 62.4 MB
7. Indexing/1. Indexing Part1.mp4 50.7 MB
1. Introduction/1. Introduction.mp4 13.7 MB
8. Dataframes Merging and Concatenating/2. Dataframes Merging and Concatenating.srt 66.2 kB
7. Indexing/2. Indexing Part2.srt 64.4 kB
2. Pandas Data Structures - Series/1. Pandas Data Structures - Series.srt 25.6 kB
5. Selecting columns & rows from a Dataframe/1. Selecting columns & rows from a Dataframe.srt 20.5 kB
3. Pandas Data Structures - Dataframes/1. Dataframes.srt 17.4 kB
4. Playing with Dataframes/1. Playing with Dataframes.srt 16.2 kB
6. Subsetting of Dataframes/1. Subsetting of Dataframes.srt 7.8 kB
7. Indexing/1. Indexing Part1.srt 7.2 kB
1. Introduction/1. Introduction.srt 2.8 kB
[UdemyLibrary.com] Join for free courses and tutorials.txt 246 Bytes
8. Dataframes Merging and Concatenating/1. CSV Files to be used for dataframes merging and concatenating.html 155 Bytes
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- 【影视】 [FreeCourseSite.com] Udemy - Machine Learning, Data Science and Deep Learning with Python
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收录时间:2021-03-10
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2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations with Item-Based Collaborative Filtering.mp4 139.0 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 131.2 MB
1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 129.1 MB
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4 124.0 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 120.9 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 119.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 117.4 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 115.1 MB
5. Recommender Systems/3. [Activity] Finding Movie Similarities using Cosine Similarity.mp4 113.1 MB
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- 【影视】 [Tutorialsplanet.NET] Udemy - Data Warehouse Concepts Basic to Advanced concepts
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收录时间:2021-03-10
文档个数:250
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最近下载:2025-05-16
人气:2867
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2. Brief about the Data warehouse/3. What is a Data Warehouse.mp4 47.3 MB
11. Dimensional Model/18. Slowly Changing Dimensions - Type 1, 2 and 3.mp4 40.6 MB
5. ODS - Operational Data Store/3. Staging Vs ODS.mp4 39.8 MB
2. Brief about the Data warehouse/4. Characteristics of a Data Warehouse.mp4 31.5 MB
11. Dimensional Model/17. Slowly Changing Dimensions - Intro and Example Creation.mp4 28.6 MB
1. Introduction/1. Welcome! Thank you for learning the Data Warehouse concepts with me!.mp4 26.8 MB
13. Data Integration and ETL/1. What is Data Integration.mp4 22.8 MB
15. ETL - Extraction Transformation & Loading/1. Build Vs Buy.mp4 20.8 MB
17. DWBIETL Implementation Approach/3. Requirements.mp4 20.4 MB
16. Typical Roles In DWH Project/4. SME - Subject Matter Expert.mp4 20.3 MB
16. Typical Roles In DWH Project/12. Data Architect, Data Warehouse Architect, BI Architect and Solution Architect.mp4 19.5 MB
2. Brief about the Data warehouse/1. Is Data Warehouse still relevant in the age of Big Data.mp4 18.6 MB
3. Business Intelligence/1. What is Business Intelligence.mp4 17.6 MB
3. Business Intelligence/3. Uses of Business Intelligence.mp4 17.3 MB
16. Typical Roles In DWH Project/6. Data Modeler.mp4 16.2 MB
19. Bonus Section/1. Links to other courses.srt 15.6 MB
19. Bonus Section/1. Links to other courses.mp4 15.6 MB
11. Dimensional Model/20. Step by Step approach to set up the Dimensional Model using a retail case study.mp4 15.4 MB
11. Dimensional Model/21. ER Model Vs Dimensional Model.mp4 15.4 MB
5. ODS - Operational Data Store/2. Define ODS.mp4 15.1 MB
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- 【影视】 Pluralsight - Securing Microsoft Azure Data Access Endpoints by John Savill
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3. Securing My Resource Endpoints/2. Firewall and IP Restrictions.mp4 18.9 MB
2. Integrating Data Services with Virtual Networks/5. Introducing Azure Private Link.mp4 17.5 MB
2. Integrating Data Services with Virtual Networks/6. Azure Private Link DNS Planning.mp4 17.2 MB
2. Integrating Data Services with Virtual Networks/2. Using Service Endpoints.mp4 15.3 MB
2. Integrating Data Services with Virtual Networks/3. Controlling Access from VNets Using Network Security Groups.mp4 15.3 MB
1. Exploring Data and Endpoint Considerations/3. Connectivity in Azure.mp4 15.0 MB
2. Integrating Data Services with Virtual Networks/7. Azure Private Link Demo.mp4 13.9 MB
3. Securing My Resource Endpoints/4. Threat Detection.mp4 13.2 MB
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