[FreeCourseSite.com] Udemy - Spark SQL and Spark 3 using Scala HandsOn with Labs

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文件数目：753个文件
文件大小：8.75 GB
收录时间：2023-01-27
访问次数：5
相关内容：FreeCourseSite Udemy Spark using Scala HandsOn with Labs

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19 - Sample scenarios with solutions/225 - Getting crime count per type per month Implementing the logic Data Frames.mp4
263.52 MB
19 - Sample scenarios with solutions/224 - Getting crime count per type per month Implementing the logic Core API.mp4
238.78 MB
19 - Sample scenarios with solutions/227 - Get inactive customers using Core Spark API leftOuterJoin.mp4
228.77 MB
19 - Sample scenarios with solutions/229 - Get top 3 crimes in RESIDENCE using Core Spark API.mp4
212.56 MB
19 - Sample scenarios with solutions/232 - Get word count with custom control arguments num keys and file format.mp4
209.56 MB
19 - Sample scenarios with solutions/228 - Get inactive customers using Data Frames and SQL.mp4
200.4 MB
19 - Sample scenarios with solutions/230 - Get top 3 crimes in RESIDENCE using Data Frame and SQL.mp4
198.24 MB
19 - Sample scenarios with solutions/231 - Convert NYSE data from text file format to parquet file format.mp4
179.02 MB
8 - Apache Spark 2 using Scala Data Processing Overview/99 - Overview of Spark read APIs.mp4
175.76 MB
19 - Sample scenarios with solutions/223 - Getting crime count per type per month Understanding Data.mp4
156.57 MB
6 - Scala Fundamentals/76 - Basic IO Operations and using Scala Collections APIs.mp4
141.46 MB
8 - Apache Spark 2 using Scala Data Processing Overview/102 - Overview of Functions to Manipulate Data in Spark Data Frames.mp4
135.58 MB
8 - Apache Spark 2 using Scala Data Processing Overview/103 - Overview of Spark Write APIs.mp4
130.44 MB
6 - Scala Fundamentals/68 - Basic Programming Constructs.mp4
127.14 MB
10 - Apache Spark 2 using Scala Basic Transformations using Data Frames/136 - Solution Getting Delayed Counts By Date using Spark Data Frame APIs.mp4
117.37 MB
6 - Scala Fundamentals/74 - Basic Map Reduce Operations.mp4
108.39 MB
9 - Apache Spark 2 using Scala Processing Column Data using Predefined Functions/119 - Date and Time Functions in Spark Using dateformat and other functions.mp4
106.42 MB
6 - Scala Fundamentals/72 - Object Oriented Concepts Case Classes.mp4
105.4 MB
6 - Scala Fundamentals/83 - Development Cycle Develop Scala application using SBT in IntelliJ.mp4
97.72 MB
19 - Sample scenarios with solutions/222 - Initializing the job General Guidelines.mp4
95.03 MB
7 - Overview of Hadoop HDFS Commands/87 - Copying files from local to HDFS.mp4
89 MB
7 - Overview of Hadoop HDFS Commands/86 - Managing HDFS Directories.mp4
87.88 MB
16 - Apache Spark using SQL Predefined Functions/197 - Date Manipulation Functions using Spark SQL.mp4
86 MB
13 - Apache Spark using SQL Basic Transformations/166 - Aggregating Data using Spark SQL.mp4
85.35 MB
9 - Apache Spark 2 using Scala Processing Column Data using Predefined Functions/111 - Manipulating String Columns using Spark Functions substring.mp4
84.32 MB
9 - Apache Spark 2 using Scala Processing Column Data using Predefined Functions/108 - Using Spark Special Functions col.mp4
79.79 MB
6 - Scala Fundamentals/82 - Development Cycle Setup IntelliJ with Scala.mp4
77.74 MB
18 - Apache Spark using SQL Windowing Functions/214 - LEAD or LAG Functions using Spark SQL.mp4
77.08 MB
3 - Setting up Environment Overview of GCP and Provision Ubuntu VM/18 - Setup Jupyter Lab.mp4
74.51 MB
18 - Apache Spark using SQL Windowing Functions/216 - Ranking using Windowing Functions in Spark SQL.mp4
72.95 MB
3 - Setting up Environment Overview of GCP and Provision Ubuntu VM/15 - Setup Docker.mp4
71.74 MB
12 - Apache Spark using SQL Getting Started/153 - Managing Spark Metastore Databases.mp4
71.68 MB
12 - Apache Spark using SQL Getting Started/150 - Overview of Spark SQL Properties.mp4
70.56 MB
16 - Apache Spark using SQL Predefined Functions/196 - String Manipulation Functions using Spark SQL.mp4
67.69 MB
10 - Apache Spark 2 using Scala Basic Transformations using Data Frames/131 - Filtering Data from Spark Data Frames Task 6 Using functions in Filter.mp4
67.56 MB
14 - Apache Spark using SQL Basic DDL and DML/170 - Create Spark Metastore Tables using Spark SQL.mp4
67.4 MB
15 - Apache Spark using SQL DML and Partitioning/189 - Loading Data into Partitioned Spark Metastore Tables using Spark SQL.mp4
66.27 MB
14 - Apache Spark using SQL Basic DDL and DML/171 - Overview of Data Types for Spark Metastore Table Columns.mp4
65.91 MB
7 - Overview of Hadoop HDFS Commands/89 - Getting File Metadata.mp4
65.05 MB
5 - Setup Hive and Spark on Single Node Cluster/54 - Validate Jupyter Lab Setup.mp4
63.98 MB
9 - Apache Spark 2 using Scala Processing Column Data using Predefined Functions/114 - Manipulating String Columns using Spark Functions Padding Strings.mp4
63.64 MB
5 - Setup Hive and Spark on Single Node Cluster/52 - Validate Spark 2 using CLIs.mp4
63.21 MB
9 - Apache Spark 2 using Scala Processing Column Data using Predefined Functions/117 - Date and Time Functions in Spark Date Arithmetic.mp4
61.55 MB
18 - Apache Spark using SQL Windowing Functions/215 - Getting first and last values using Spark SQL.mp4
61.31 MB
5 - Setup Hive and Spark on Single Node Cluster/62 - Validate Spark 3 using CLIs.mp4
59.68 MB
9 - Apache Spark 2 using Scala Processing Column Data using Predefined Functions/118 - Date and Time Functions in Spark Using trunc and datetrunc.mp4
58.49 MB
14 - Apache Spark using SQL Basic DDL and DML/178 - Overview of Spark Metastore Table File Formats.mp4
57.26 MB
18 - Apache Spark using SQL Windowing Functions/213 - Aggregations using Windowing Functions using Spark SQL.mp4
57.2 MB
5 - Setup Hive and Spark on Single Node Cluster/60 - Configure Spark 3.mp4
56.46 MB
9 - Apache Spark 2 using Scala Processing Column Data using Predefined Functions/112 - Manipulating String Columns using Spark Functions split.mp4
55.88 MB