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Название [FreeCoursesOnline.Me] PacktPub - Apache Spark 3 for Data Engineering and Analytics with Python
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[0] Introduction.mp4 47.10Мб
[1] The Spark Architecture.mp4 31.65Мб
[10] MacOS - PySpark Installation.mp4 31.96Мб
[11] MacOS - Testing the Spark Installation.mp4 25.12Мб
[12] Install Jupyter Notebooks.mp4 31.53Мб
[13] The Spark Web UI.mp4 53.11Мб
[14] Section Summary.mp4 14.17Мб
[15] Section Introduction.mp4 12.00Мб
[16] Spark Application and Session.mp4 22.96Мб
[17] Spark Transformations and Actions Part 1.mp4 37.03Мб
[18] Spark Transformations and Actions Part 2.mp4 20.83Мб
[19] DAG Visualisation.mp4 28.65Мб
[2] The Spark Unified Stack.mp4 32.64Мб
[20] Introduction to RDDs.mp4 37.92Мб
[21] Data Preparation.mp4 17.45Мб
[22] Distinct and Filter Transformations.mp4 19.81Мб
[23] Map and Flat Map Transformations.mp4 22.11Мб
[24] SortByKey Transformations.mp4 22.26Мб
[25] RDD Actions.mp4 28.52Мб
[26] Challenge - Convert Fahrenheit to Centigrade.mp4 28.72Мб
[27] Challenge - XYZ Research.mp4 17.84Мб
[28] Challenge - XYZ Research Part 1.mp4 24.61Мб
[29] Challenge XYZ Research Part 2.mp4 14.94Мб
[3] Java Installation.mp4 23.60Мб
[30] Structured APIs Introduction.mp4 46.64Мб
[31] Preparing the Project Folder.mp4 24.97Мб
[32] PySpark DataFrame, Schema, and DataTypes.mp4 26.85Мб
[33] DataFrame Reader and Writer.mp4 36.77Мб
[34] Challenge Part 1 – Brief.mp4 38.33Мб
[35] Challenge Part 1 - Data Preparation.mp4 26.27Мб
[36] Working with Structured Operations.mp4 45.05Мб
[37] Managing Performance Errors.mp4 25.68Мб
[38] Reading a JSON File.mp4 39.03Мб
[39] Columns and Expressions.mp4 36.20Мб
[4] Hadoop Installation.mp4 22.56Мб
[40] Filter and Where Conditions.mp4 32.83Мб
[41] Distinct Drop Duplicates Order By.mp4 21.19Мб
[42] Rows and Union.mp4 27.15Мб
[43] Adding, Renaming, and Dropping Columns.mp4 28.03Мб
[44] Working with Missing or Bad Data.mp4 30.03Мб
[45] Working with User-Defined Functions.mp4 22.47Мб
[46] Challenge Part 2 – Brief.mp4 57.94Мб
[47] Challenge Part 2 - Remove Null Row and Bad Records.mp4 37.59Мб
[48] Challenge Part 2 - Get the City and State.mp4 38.75Мб
[49] Challenge Part 2 - Rearrange the Schema.mp4 47.25Мб
[5] Python Installation.mp4 14.76Мб
[50] Challenge Part 2 - Write Partitioned DataFrame to Parquet.mp4 35.87Мб
[51] Aggregations.mp4 8.18Мб
[52] Aggregations - Setting Up Flight Summary Data.mp4 21.48Мб
[53] Aggregations - Count and Count Distinct.mp4 23.67Мб
[54] Aggregations - Min Max Sum SumDistinct AVG.mp4 21.61Мб
[55] Aggregations with Grouping.mp4 26.09Мб
[56] Challenge Part 3 – Brief.mp4 30.81Мб
[57] Challenge Part 3 - Prepare 2019 Data.mp4 21.89Мб
[58] Challenge Part 3 - Q1 Get the Best Sales Month.mp4 34.36Мб
[59] Challenge Part 3 - Q2 Get the City that Sold the Most Products.mp4 19.06Мб
[6] PySpark Installation.mp4 42.48Мб
[60] Challenge Part 3 - Q3 When to Advertise.mp4 39.16Мб
[61] Challenge Part 3 - Q4 Products Bought Together.mp4 43.15Мб
[62] Introduction to DataBricks.mp4 22.29Мб
[63] Spark SQL Introduction.mp4 22.75Мб
[64] Register Account on Databricks.mp4 11.44Мб
[65] Create a Databricks Cluster.mp4 11.49Мб
[66] Creating our First 2 Databricks Notebooks.mp4 12.79Мб
[67] Reading CSV Files into DataFrame.mp4 34.03Мб
[68] Creating a Database and Table.mp4 36.39Мб
[69] Inserting Records into a Table.mp4 33.49Мб
[7] Install Microsoft Build Tools.mp4 11.26Мб
[70] Exposing Bad Records.mp4 18.80Мб
[71] Figuring out How to Remove Bad Records.mp4 15.44Мб
[72] Extract the City and State.mp4 30.45Мб
[73] Inserting Records to Final Sales Table.mp4 53.00Мб
[74] What was the Best Month in Sales_.mp4 26.19Мб
[75] Get the City that Sold the Most Products.mp4 7.64Мб
[76] Get the Right Time to Advertise.mp4 12.31Мб
[77] Get the Most Products Sold Together.mp4 24.93Мб
[78] Create a Dashboard.mp4 12.23Мб
[79] Summary.mp4 30.53Мб
[8] MacOS - Java Installation.mp4 20.77Мб
[9] MacOS - Python Installation.mp4 23.05Мб
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