文件列表753
- 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
