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[FreeCourseSite.com] Udemy - CCA 175 – Spark and Hadoop Developer Certification – Scala

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种子名称： [FreeCourseSite.com] Udemy - CCA 175 – Spark and Hadoop Developer Certification – Scala
文件类型： 视频
文件数目： 159个文件
文件大小： 5.46 GB
收录时间： 2018-8-26 10:40
已经下载： 3次
资源热度： 376
最近下载： 2024-12-26 06:59

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FreeCourseSite com Udemy - CCA 175 – Spark and Hadoop Developer Certification – Scala

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[FreeCourseSite.com] Udemy - CCA 175 – Spark and Hadoop Developer Certification – Scala.torrent
  • 01 Introduction/001 CCA 175 Spark and Hadoop Developer - Curriculum.mp419.32MB
  • 01 Introduction/002 Using labs for preparation.mp420.44MB
  • 02 Scala Fundamentals/003 Introduction and Setting up of Scala.mp429.47MB
  • 02 Scala Fundamentals/004 Setup Scala on Windows.mp421.86MB
  • 02 Scala Fundamentals/005 Basic Programming Constructs.mp442.23MB
  • 02 Scala Fundamentals/006 Functions.mp437.38MB
  • 02 Scala Fundamentals/007 Object Oriented Concepts - Classes.mp437.96MB
  • 02 Scala Fundamentals/008 Object Oriented Concepts - Objects.mp427.87MB
  • 02 Scala Fundamentals/009 Object Oriented Concepts - Case Classes.mp428.29MB
  • 02 Scala Fundamentals/010 Collections - Seq Set and Map.mp418.7MB
  • 02 Scala Fundamentals/011 Basic Map Reduce Operations.mp430.47MB
  • 02 Scala Fundamentals/012 Setting up Data Sets for Basic IO Operations.mp410.94MB
  • 02 Scala Fundamentals/013 Basic IO Operations and using Scala Collections APIs.mp438.45MB
  • 02 Scala Fundamentals/014 Tuples.mp49.05MB
  • 02 Scala Fundamentals/015 Development Cycle - Developing Source code.mp416.39MB
  • 02 Scala Fundamentals/016 Development Cycle - Compile source code to jar using SBT.mp421.33MB
  • 02 Scala Fundamentals/017 Development Cycle - Setup SBT on Windows.mp411.08MB
  • 02 Scala Fundamentals/018 Development Cycle - Compile changes and run jar with arguments.mp410.95MB
  • 02 Scala Fundamentals/019 Development Cycle - Setup IntelliJ with Scala.mp431.33MB
  • 02 Scala Fundamentals/020 Development Cycle - Develop Scala application using SBT in IntelliJ.mp428.72MB
  • 03 Getting Started/021 Introduction and Curriculum.mp414.03MB
  • 03 Getting Started/022 Setup Environment - Options.mp43.02MB
  • 03 Getting Started/023 Setup Environment - Locally.mp43.53MB
  • 03 Getting Started/024 Setup Environment - using Cloudera Quickstart VM.mp423.07MB
  • 03 Getting Started/025 Using itversitys big data labs.mp430.02MB
  • 03 Getting Started/026 Using Windows - Putty and WinSCP.mp426.63MB
  • 03 Getting Started/027 Using Windows - Cygwin.mp434.74MB
  • 03 Getting Started/028 HDFS Quick Preview.mp460.58MB
  • 03 Getting Started/029 YARN Quick Preview.mp425.84MB
  • 03 Getting Started/030 Setup Data Sets.mp417.82MB
  • 04 Data Ingestion - Apache Sqoop/031 Introduction and Objectives.mp44.61MB
  • 04 Data Ingestion - Apache Sqoop/032 Accessing Sqoop Documentation.mp419.63MB
  • 04 Data Ingestion - Apache Sqoop/033 Preview of MySQL on labs.mp422.25MB
  • 04 Data Ingestion - Apache Sqoop/034 Sqoop connect string and validating using list commands.mp443.87MB
  • 04 Data Ingestion - Apache Sqoop/035 Run queries in MySQL using eval.mp437.91MB
  • 04 Data Ingestion - Apache Sqoop/036 Sqoop Import - Simple Import.mp441.7MB
  • 04 Data Ingestion - Apache Sqoop/037 Sqoop Import - Execution Life Cycle.mp453.34MB
  • 04 Data Ingestion - Apache Sqoop/038 Sqoop Import - Managing Directories.mp432.81MB
  • 04 Data Ingestion - Apache Sqoop/039 Sqoop Import - Using split by.mp462.56MB
  • 04 Data Ingestion - Apache Sqoop/040 Sqoop Import - auto reset to one mapper.mp414.21MB
  • 04 Data Ingestion - Apache Sqoop/041 Sqoop Import - Different file formats.mp428.75MB
  • 04 Data Ingestion - Apache Sqoop/042 Sqoop Import - Using compression.mp434.84MB
  • 04 Data Ingestion - Apache Sqoop/043 Sqoop Import - Using Boundary Query.mp431.58MB
  • 04 Data Ingestion - Apache Sqoop/044 Sqoop Import - columns and query.mp453.76MB
  • 04 Data Ingestion - Apache Sqoop/045 Sqoop Import - Delimiters and handling nulls.mp468.09MB
  • 04 Data Ingestion - Apache Sqoop/046 Sqoop Import - Incremental Loads.mp460.59MB
  • 04 Data Ingestion - Apache Sqoop/047 Sqoop Import - Hive - Create Hive Database.mp46.87MB
  • 04 Data Ingestion - Apache Sqoop/048 Sqoop Import - Hive - Simple Hive Import.mp442.99MB
  • 04 Data Ingestion - Apache Sqoop/049 Sqoop Import - Hive - Managing Hive tables.mp463.81MB
  • 04 Data Ingestion - Apache Sqoop/050 Sqoop Import - Import all tables.mp444.07MB
  • 04 Data Ingestion - Apache Sqoop/051 Role of Sqoop in typical data processing life cycle.mp434.39MB
  • 04 Data Ingestion - Apache Sqoop/052 Sqoop Export - Simple export with delimiters.mp440.21MB
  • 04 Data Ingestion - Apache Sqoop/053 Sqoop Export - Understanding export behaviour.mp420.3MB
  • 04 Data Ingestion - Apache Sqoop/054 Sqoop Export - Column Mapping.mp442.17MB
  • 04 Data Ingestion - Apache Sqoop/055 Sqoop Export - Update and Upsert.mp449.74MB
  • 04 Data Ingestion - Apache Sqoop/056 Sqoop Export - Stage Tables.mp464.45MB
  • 05 Transform Stage and Store - Spark/057 Introduction.mp49.16MB
  • 05 Transform Stage and Store - Spark/058 Introduction to Spark.mp43.98MB
  • 05 Transform Stage and Store - Spark/059 Setup Spark on Windows.mp489.08MB
  • 05 Transform Stage and Store - Spark/060 Quick overview about Spark documentation.mp419.69MB
  • 05 Transform Stage and Store - Spark/061 Initializing Spark job using spark-shell.mp467.65MB
  • 05 Transform Stage and Store - Spark/062 Create Resilient Distributed Data Sets (RDD).mp436.08MB
  • 05 Transform Stage and Store - Spark/063 Previewing data from RDD.mp464.45MB
  • 05 Transform Stage and Store - Spark/064 Reading different file formats - Brief overview using JSON.mp426.23MB
  • 05 Transform Stage and Store - Spark/065 Transformations Overview.mp410.38MB
  • 05 Transform Stage and Store - Spark/066 Manipulating Strings as part of transformations using Scala.mp433.46MB
  • 05 Transform Stage and Store - Spark/067 Row level transformations using map.mp447.75MB
  • 05 Transform Stage and Store - Spark/068 Row level transformations using flatMap.mp426.5MB
  • 05 Transform Stage and Store - Spark/069 Filtering the data.mp458.38MB
  • 05 Transform Stage and Store - Spark/070 Joining data sets - inner join.mp429.77MB
  • 05 Transform Stage and Store - Spark/071 Joining data sets - outer join.mp451.11MB
  • 05 Transform Stage and Store - Spark/072 Aggregations - Getting Started.mp415.19MB
  • 05 Transform Stage and Store - Spark/073 Aggregations - using actions (reduce and countByKey).mp443.84MB
  • 05 Transform Stage and Store - Spark/074 Aggregations - understanding combiner.mp414.36MB
  • 05 Transform Stage and Store - Spark/075 Aggregations using groupByKey - least preferred API for aggregations.mp456.34MB
  • 05 Transform Stage and Store - Spark/076 Aggregations using reduceByKey.mp425.74MB
  • 05 Transform Stage and Store - Spark/077 Aggregations using aggregateByKey.mp460.81MB
  • 05 Transform Stage and Store - Spark/078 Sorting data using sortByKey.mp459.24MB
  • 05 Transform Stage and Store - Spark/079 Global Ranking - using sortByKey with take and takeOrdered.mp434.09MB
  • 05 Transform Stage and Store - Spark/080 By Key Ranking - Converting (K V) pairs into (K IterableV) using groupByKey.mp419.54MB
  • 05 Transform Stage and Store - Spark/081 Get topNPrices using Scala Collections API.mp431.87MB
  • 05 Transform Stage and Store - Spark/082 Get topNPricedProducts using Scala Collections API.mp437.04MB
  • 05 Transform Stage and Store - Spark/083 Get top n products by category using groupByKey flatMap and Scala function.mp419.58MB
  • 05 Transform Stage and Store - Spark/084 Set Operations - union intersect distinct as well as minus.mp459.35MB
  • 05 Transform Stage and Store - Spark/085 Save data in Text Input Format.mp443.22MB
  • 05 Transform Stage and Store - Spark/086 Save data in Text Input Format using Compression.mp428.82MB
  • 05 Transform Stage and Store - Spark/087 Saving data in standard file formats - Overview.mp429.41MB
  • 05 Transform Stage and Store - Spark/088 Revision of Problem Statement and Design the solution.mp48.75MB
  • 05 Transform Stage and Store - Spark/089 Solution - Get Daily Revenue per Product - Launching Spark Shell.mp425.22MB
  • 05 Transform Stage and Store - Spark/090 Solution - Get Daily Revenue per Product - Read and join orders and order_items.mp448.44MB
  • 05 Transform Stage and Store - Spark/091 Solution - Get Daily Revenue per Product - Compute daily revenue per product id.mp439.35MB
  • 05 Transform Stage and Store - Spark/092 Solution - Get Daily Revenue per Product - Read products data and create RDD.mp444.03MB
  • 05 Transform Stage and Store - Spark/093 Solution - Get Daily Revenue per Product - Sort and save to HDFS.mp488.61MB
  • 05 Transform Stage and Store - Spark/094 Solution - Add spark dependencies to sbt.mp419.98MB
  • 05 Transform Stage and Store - Spark/095 Solution - Develop as Scala based application.mp490.52MB
  • 05 Transform Stage and Store - Spark/096 Solution - Run locally using spark-submit.mp435.93MB
  • 06 Data Analysis - Spark SQL or HiveQL/098 Different interfaces to run Hive queries.mp422.83MB
  • 06 Data Analysis - Spark SQL or HiveQL/099 Create Hive tables and load data in text file format.mp467.97MB
  • 06 Data Analysis - Spark SQL or HiveQL/100 Create Hive tables and load data in ORC file format.mp430.55MB
  • 06 Data Analysis - Spark SQL or HiveQL/101 Using spark-shell to run Hive queries or commands.mp413.37MB
  • 06 Data Analysis - Spark SQL or HiveQL/102 Functions - Getting Started.mp410.85MB
  • 06 Data Analysis - Spark SQL or HiveQL/103 Functions - Manipulating Strings.mp454.33MB
  • 06 Data Analysis - Spark SQL or HiveQL/104 Functions - Manipulating Dates.mp433MB
  • 06 Data Analysis - Spark SQL or HiveQL/105 Functions - Aggregations.mp414.9MB
  • 06 Data Analysis - Spark SQL or HiveQL/106 Functions - CASE.mp432.08MB
  • 06 Data Analysis - Spark SQL or HiveQL/107 Row level transformations.mp417.67MB
  • 06 Data Analysis - Spark SQL or HiveQL/108 Joins.mp451.25MB
  • 06 Data Analysis - Spark SQL or HiveQL/109 Aggregations.mp438.65MB
  • 06 Data Analysis - Spark SQL or HiveQL/110 Sorting.mp421.37MB
  • 06 Data Analysis - Spark SQL or HiveQL/111 Set Operations.mp413.2MB
  • 06 Data Analysis - Spark SQL or HiveQL/112 Analytics Functions - Aggregations.mp445.26MB
  • 06 Data Analysis - Spark SQL or HiveQL/113 Analytics Functions - Ranking.mp424.06MB
  • 06 Data Analysis - Spark SQL or HiveQL/114 Windowing Functions.mp425.55MB
  • 06 Data Analysis - Spark SQL or HiveQL/115 Create Data Frame and Register as Temp table.mp444.57MB
  • 06 Data Analysis - Spark SQL or HiveQL/116 Writing Spark SQL Applications - process data.mp429.69MB
  • 06 Data Analysis - Spark SQL or HiveQL/117 Writing Spark SQL Applications - Save data into Hive tables.mp424.37MB
  • 06 Data Analysis - Spark SQL or HiveQL/118 Data Frame Operations.mp445.35MB
  • 07 Data Ingest - real time near real time and streaming analytics/119 Introduction.mp49.46MB
  • 07 Data Ingest - real time near real time and streaming analytics/120 Flume - Getting Started.mp453.97MB
  • 07 Data Ingest - real time near real time and streaming analytics/121 Flume - Web Server Logs to HDFS - Introduction.mp460.36MB
  • 07 Data Ingest - real time near real time and streaming analytics/122 Flume - Web Server Logs to HDFS - Setup Data.mp420.28MB
  • 07 Data Ingest - real time near real time and streaming analytics/123 Flume - Web Server Logs to HDFS - Source exec.mp419.17MB
  • 07 Data Ingest - real time near real time and streaming analytics/124 Flume - Web Server Logs to HDFS - Sink HDFS - Getting Started.mp444.77MB
  • 07 Data Ingest - real time near real time and streaming analytics/125 Flume - Web Server Logs to HDFS - Sink HDFS - Customize properties.mp440.35MB
  • 07 Data Ingest - real time near real time and streaming analytics/126 Flume - Web Server Logs to HDFS - Deep dive to memory channel.mp411.77MB
  • 07 Data Ingest - real time near real time and streaming analytics/127 Kafka - Getting Started - High Level Architecture.mp417.97MB
  • 07 Data Ingest - real time near real time and streaming analytics/128 Kafka - Getting Started - Produce and consume messages using commands.mp461.15MB
  • 07 Data Ingest - real time near real time and streaming analytics/129 Kafka - Anatomy of a topic.mp433.46MB
  • 07 Data Ingest - real time near real time and streaming analytics/130 Flume and Kafka in Streaming analytics.mp419.6MB
  • 07 Data Ingest - real time near real time and streaming analytics/131 Spark Streaming - Getting Started.mp436.44MB
  • 07 Data Ingest - real time near real time and streaming analytics/132 Spark Streaming - Setting up netcat.mp419.57MB
  • 07 Data Ingest - real time near real time and streaming analytics/133 Spark Streaming - Develop Word Count program.mp430.77MB
  • 07 Data Ingest - real time near real time and streaming analytics/134 Spark Streaming - Ship and run word count program on the cluster.mp431.9MB
  • 07 Data Ingest - real time near real time and streaming analytics/135 Spark Streaming - Data Structure (DStream) and APIs overview.mp427.4MB
  • 07 Data Ingest - real time near real time and streaming analytics/136 Spark Streaming - Get department wise traffic - Problem Statement.mp423.35MB
  • 07 Data Ingest - real time near real time and streaming analytics/137 Spark Streaming - Get department wise traffic - Development.mp432.02MB
  • 07 Data Ingest - real time near real time and streaming analytics/138 Spark Streaming - Get department wise traffic - Run on the cluster.mp437.83MB
  • 07 Data Ingest - real time near real time and streaming analytics/139 Flume and Spark Streaming - Department Wise Traffic - Setup Flume.mp461.65MB
  • 07 Data Ingest - real time near real time and streaming analytics/140 Flume and Spark Streaming - Department Wise Traffic - Add sbt dependencies.mp421.15MB
  • 07 Data Ingest - real time near real time and streaming analytics/141 Flume and Spark Streaming - Department Wise Traffic - Develop and build.mp416.2MB
  • 07 Data Ingest - real time near real time and streaming analytics/142 Flume and Spark Streaming - Department Wise Traffic - Run and Validate.mp448.74MB
  • 07 Data Ingest - real time near real time and streaming analytics/143 Flume and Kafka integration - Develop configuration file.mp442.48MB
  • 07 Data Ingest - real time near real time and streaming analytics/144 Flume and Kafka integration - Run and validate.mp450.27MB
  • 07 Data Ingest - real time near real time and streaming analytics/145 Kafka and Spark Streaming - Add dependencies.mp423.09MB
  • 07 Data Ingest - real time near real time and streaming analytics/146 Kafka and Spark Streaming - Develop and build application.mp424.65MB
  • 07 Data Ingest - real time near real time and streaming analytics/147 Kafka and Spark Streaming - Run and Validate.mp442.95MB
  • 08 Sample scenarios with solutions/148 Introduction to Sample Scenarios and Solutions.mp48.85MB
  • 08 Sample scenarios with solutions/149 Problem Statements - General Guidelines.mp412.63MB
  • 08 Sample scenarios with solutions/150 Initializing the job - General Guidelines.mp434.19MB
  • 08 Sample scenarios with solutions/151 Getting crime count per type per month - Understanding Data.mp443.29MB
  • 08 Sample scenarios with solutions/152 Getting crime count per type per month - Implementing the logic - Core API.mp468.07MB
  • 08 Sample scenarios with solutions/153 Getting crime count per type per month - Implementing the logic - Data Frames.mp481.55MB
  • 08 Sample scenarios with solutions/154 Getting crime count per type per month - Validating Output.mp417.64MB
  • 08 Sample scenarios with solutions/155 Get inactive customers - using Core Spark API (leftOuterJoin).mp464.28MB
  • 08 Sample scenarios with solutions/156 Get inactive customers - using Data Frames and SQL.mp475.04MB
  • 08 Sample scenarios with solutions/157 Get top 3 crimes in RESIDENCE - using Core Spark API.mp464.53MB
  • 08 Sample scenarios with solutions/158 Get top 3 crimes in RESIDENCE - using Data Frame and SQL.mp462.3MB
  • 08 Sample scenarios with solutions/159 Convert NYSE data from text file format to parquet file format.mp456.19MB
  • 08 Sample scenarios with solutions/160 Get word count - with custom control arguments num keys and file format.mp470.63MB



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