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[FreeCoursesOnline.Me] PacktPub - Master Big Data Ingestion and Analytics with Flume, Sqoop, Hive and Spark [Video]

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种子名称： [FreeCoursesOnline.Me] PacktPub - Master Big Data Ingestion and Analytics with Flume, Sqoop, Hive and Spark [Video]
文件类型： 视频
文件数目： 68个文件
文件大小： 1.55 GB
收录时间： 2020-6-12 03:52
已经下载： 3次
资源热度： 185
最近下载： 2024-6-8 01:39

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FreeCoursesOnline Me PacktPub - Master Big Data Ingestion and Analytics with Flume Sqoop Hive and Spark Video

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[FreeCoursesOnline.Me] PacktPub - Master Big Data Ingestion and Analytics with Flume, Sqoop, Hive and Spark [Video].torrent
  • 1 - Hadoop Introduction/01 - HDFS and Hadoop Commands.mp4110.45MB
  • 2 - Sqoop Import/02 - Sqoop Introduction.mp4110.84MB
  • 2 - Sqoop Import/03 - Managing Target Directories.mp439.65MB
  • 2 - Sqoop Import/04 - Working with Different File Formats.mp417.24MB
  • 2 - Sqoop Import/05 - Working with Different Compressions.mp422.96MB
  • 2 - Sqoop Import/06 - Conditional Imports.mp417.94MB
  • 2 - Sqoop Import/07 - Split-by and Boundary Queries.mp433.08MB
  • 2 - Sqoop Import/08 - Field delimeters.mp413.43MB
  • 2 - Sqoop Import/09 - Incremental Appends.mp412.44MB
  • 2 - Sqoop Import/10 - Sqoop Hive Import.mp414.18MB
  • 2 - Sqoop Import/11 - Sqoop List Tables_Database.mp410.53MB
  • 2 - Sqoop Import/12 - Sqoop Import Practice1.mp420.04MB
  • 2 - Sqoop Import/13 - Sqoop Import Practice2.mp417.82MB
  • 2 - Sqoop Import/14 - Sqoop Import Practice3.mp414.98MB
  • 3 - Sqoop Export/15 - Export from Hdfs to Mysql.mp444.13MB
  • 3 - Sqoop Export/16 - Export from Hive to Mysql.mp410.67MB
  • 4 - Apache Flume/17 - Flume Introduction & Architecture.mp49.94MB
  • 4 - Apache Flume/18 - Exec Source and Logger Sink.mp414.8MB
  • 4 - Apache Flume/19 - Moving data from Twitter to HDFS.mp434.25MB
  • 4 - Apache Flume/20 - Moving data from NetCat to HDFS.mp416.6MB
  • 4 - Apache Flume/21 - Flume Interceptors.mp45.7MB
  • 4 - Apache Flume/22 - Flume Interceptor Example.mp418.92MB
  • 4 - Apache Flume/23 - Flume Multi-Agent Flow.mp425.86MB
  • 4 - Apache Flume/24 - Flume Consolidation.mp423.5MB
  • 5 - Apache Hive/25 - Hive Introduction.mp413.76MB
  • 5 - Apache Hive/26 - Hive Database.mp412.52MB
  • 5 - Apache Hive/27 - Hive Managed Tables.mp425.56MB
  • 5 - Apache Hive/28 - Hive External Tables.mp410.54MB
  • 5 - Apache Hive/29 - Hive Inserts.mp421.6MB
  • 5 - Apache Hive/30 - Hive Analytics.mp417.38MB
  • 5 - Apache Hive/31 - Working with Parquet.mp413.33MB
  • 5 - Apache Hive/32 - Compressing Parquet.mp419.14MB
  • 5 - Apache Hive/33 - Working with Fixed File Format.mp411.24MB
  • 5 - Apache Hive/34 - Alter Command.mp423.37MB
  • 5 - Apache Hive/35 - Hive String Functions.mp425.13MB
  • 5 - Apache Hive/36 - Hive Date Functions.mp420.95MB
  • 5 - Apache Hive/37 - Hive Partitioning.mp426.54MB
  • 5 - Apache Hive/38 - Hive Bucketing.mp414.72MB
  • 6 - Spark Introduction/39 - Spark Introduction.mp416.32MB
  • 6 - Spark Introduction/40 - Resilient Distributed Datasets.mp410.67MB
  • 6 - Spark Introduction/41 - Cluster Overview.mp426.24MB
  • 6 - Spark Introduction/42 - Directed Acyclic Graph (DAG) & Stages.mp438.09MB
  • 7 - Spark Transformations & Actions/43 - Map_FlatMap Transformation.mp417.82MB
  • 7 - Spark Transformations & Actions/44 - Filter_Intersection.mp416.87MB
  • 7 - Spark Transformations & Actions/45 - Union_Distinct Transformation.mp410.68MB
  • 7 - Spark Transformations & Actions/46 - GroupByKey_ Group people based on Birthday months.mp422.55MB
  • 7 - Spark Transformations & Actions/47 - ReduceByKey _ Total Number of students in each Subject.mp427.24MB
  • 7 - Spark Transformations & Actions/48 - SortByKey _ Sort students based on their rollno.mp424.3MB
  • 7 - Spark Transformations & Actions/49 - MapPartition _ MapPartitionWithIndex.mp424.22MB
  • 7 - Spark Transformations & Actions/50 - Change number of Partitions.mp415.48MB
  • 7 - Spark Transformations & Actions/51 - Join _ Join email address based on customer name.mp412.98MB
  • 7 - Spark Transformations & Actions/52 - Spark Actions.mp423.53MB
  • 8 - Spark RDD Practice/53 - Scala Tuples.mp435.89MB
  • 8 - Spark RDD Practice/54 - Extract Error Logs from log files.mp439.55MB
  • 8 - Spark RDD Practice/55 - Frequency of word in Text File.mp432.66MB
  • 8 - Spark RDD Practice/56 - Population of each City.mp415.22MB
  • 8 - Spark RDD Practice/57 - Orders placed by Customers.mp435.66MB
  • 8 - Spark RDD Practice/58 - Movie Average Rating greater than 3.mp427.1MB
  • 9 - Spark Dataframes & Spark SQL/59 - Dataframe Intro.mp49.02MB
  • 9 - Spark Dataframes & Spark SQL/60 - Dafaframe from Json Files.mp420.73MB
  • 9 - Spark Dataframes & Spark SQL/61 - Dataframe from Parquet Files.mp47.31MB
  • 9 - Spark Dataframes & Spark SQL/62 - Dataframe from CSV Files.mp431.81MB
  • 9 - Spark Dataframes & Spark SQL/63 - Dataframe from Avro_XML Files.mp419.45MB
  • 9 - Spark Dataframes & Spark SQL/64 - Working with Different Compressions.mp425.06MB
  • 9 - Spark Dataframes & Spark SQL/65 - DataFrame API Part1.mp420.08MB
  • 9 - Spark Dataframes & Spark SQL/66 - DataFrame API Part2.mp425.15MB
  • 9 - Spark Dataframes & Spark SQL/67 - Spark SQL.mp418.42MB
  • 9 - Spark Dataframes & Spark SQL/68 - Working with Hive Tables in Spark.mp418.44MB



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