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教程列表:
Hadoop Certification - CCA - Submitting pyspark applications
Hadoop Certification - CCA - Spark Introduction
Hadoop Certification - CCA - Setup Spark 1.2.1 on Quickstart VM
Hadoop Certification - CCA - Scala - Sorting and Ranking by key using groupByKey
Hadoop Certification - CCA - Scala - Recap of scala list operations
Hadoop Certification - CCA - Scala - Reading and Saving Text Files
Hadoop Certification - CCA - Scala - Reading and Saving Sequence Files
Hadoop Certification - CCA - Scala - Reading and Saving Hive and JSON data
Hadoop Certification - CCA - Scala - Ranking by key using groupByKey
Hadoop Certification - CCA - Scala - Global sorting and ranking
Hadoop Certification - CCA - Scala - Filtering data (includes sql)
Hadoop Certification - CCA - Scala - Developing Word Count program - flatMap
Hadoop Certification - CCA - Scala - 04 Max By Key (includes SQL)
Hadoop Certification - CCA - Scala - 03 Average by key
Hadoop Certification - CCA - Submitting scala applications
Hadoop Certification - Sqoop Job and Sqoop Merge
Hadoop Certification - Sqoop commands - list and eval
Hadoop Certification - CCA - Word Count Explained
Hadoop Certification - CCA - Using Cloudera Quickstart VM
Hadoop Certification - CCA - Using Cloudera Quickstart VM (Add on)
Hadoop Certification - CCA - Flume - Setup Telnet
Hadoop Certification - CCA - Flume - Running first job (telnet to logger)
Hadoop Certification - CCA - Flume - Ingest real time data into HDFS
Hadoop Certification - CCA - Extracting Avro schema from Avro
Hadoop Certification - CCA - Pyspark - 03 Aggregating Data by key - Introduction
Hadoop Certification - CCA - Scala - 02 Aggregating Data by key - Introduction
Hadoop Certification - CCA - Scala - 01 Joining Data Sets
Hadoop Certification - CCA - Pyspark - Sorting and Ranking using SQL
Hadoop Certification - CCA - Pyspark - Sorting and Ranking
Hadoop Certification - CCA - Pyspark - Recap of python list operations
Hadoop Certification - CCA - Pyspark - Reading and Saving Text Files
Hadoop Certification - CCA - Pyspark - Reading and Saving Sequence Files
Hadoop Certification - CCA - Pyspark - Reading and Saving Hive and JSON data
Hadoop Certification - CCA - Pyspark - Global sorting and ranking
Hadoop Certification - CCA - Pyspark - Filtering data
Hadoop Certification - CCA - Pyspark - Developing Word Count program - flatMap
Hadoop Certification - CCA - Pyspark - 05 Max By Key (includes SQL)
Hadoop Certification - CCA - Pyspark - 04 Average by key
Hadoop Certification - CCA - Pyspark - 03 Joining Data Sets using SQL
Hadoop Certification - CCA - Scala - 02 Joining Data Sets using Hive
Hadoop Certification - CCA - Avro Schema Evolution in Hive and Impala
Hadoop Certification - CCA - 01 Flume Introduction
Hadoop Certification - 05 Sqoop Import Incremental
Hadoop Certification - 04 Sqoop Import
Hadoop Certification - 03 Sqoop Import
Hadoop Certification - 03 Sqoop File Formats
Hadoop Certification - 02 Sqoop Import
Hadoop Certification - 02 Sqoop Import - Add on
Hadoop Certification - 02 Sqoop export delimiters
Hadoop Certification - CCA - Data Analysis introduction
Hadoop Certification - CCA - Pyspark - 02 Joining Data Sets using Python
Hadoop Certification - CCA - Pyspark - 02 Aggregating data (totals continued)
Hadoop Certification - CCA - Pyspark - 01 Joining Data Sets using Python
Hadoop Certification - CCA - Pyspark - 01 Aggregating Data (totals)
Hadoop Certification - CCA - Partitioning in Hive with Avro file format
Hadoop Certification - CCA - Introduction
Hadoop Certification - CCA - Introduction of pyspark (python on spark)
Hadoop Certification - CCA - How Combiner Works
Hadoop Certification - CCA - Hive Metastore
Hadoop Certification - CCA - Flume - Using HDFS Sink
Hadoop Certification - 01 Sqoop Import
Hadoop Certification - 01 Sqoop Export
Hadoop Certification - 01 Sqoop common issues
Hadoop Ceritfication - 01 Sqoop import delimiters
Data Warehouse using Hadoop eco system - 09 04 Transformation and Load
Data Warehouse using Hadoop eco system - 09 03 Transformation and Load
Data Warehouse using Hadoop eco system - 09 02 Extract and Load - Hive Load demo
Data Warehouse using Hadoop eco system - 08 02 Extract and Load Sqoop Demo
Data Warehouse using Hadoop eco system - 07 Extract and Load Sqoop Theory
Data Warehouse using Hadoop eco system - 06 Create Databases Hive DDL Demo
Data Warehouse using Hadoop eco system - 05 Create Databases Hive DDL Theory
Data Warehouse using Hadoop eco system 09 01 Extract and Load Hive Theory
Cloudera Quickstart 5.5 Preview
Cloudera Quickstart 5.5 preview - CCA certification
Hadoop Certification - 02 Sqoop Export - Merge_Upsert
Hadoop Certification - CCA - Create a table in the Hive metastore using Avro
Hadoop Certification - CCA - Copying data from HDFS
Hadoop Certification - CCA - Conclusion and Best of luck
Hadoop Certification - CCA - Common Issues - Connection Refused
Hadoop Certification - CCA - Combiner in reduceByKey and aggregateByKey
- 01 Flume Introduction
- 01 Sqoop common issues
- 01 Sqoop Export
- 01 Sqoop Import
- 02 Sqoop Export - Merge_Upsert
- 02 Sqoop export delimiters
- 02 Sqoop Import
- 02 Sqoop Import - Add on
- 03 Sqoop File Formats
- 03 Sqoop Import
- 04 Sqoop Import
- 05 Sqoop Import Incremental
- Avro Schema Evolution in Hive and Impala
- Cloudera Quickstart 5.5 Preview
- Cloudera Quickstart 5.5 preview - CCA certification
- Combiner in reduceByKey and aggregateByKey
- Common Issues - Connection Refused
- Conclusion and Best of luck
- Copying data from HDFS
- Create a table in the Hive metastore using Avro
- Data Analysis introduction
- Data Warehouse using Hadoop eco system - 05 Create Databases Hive DDL Theory
- Data Warehouse using Hadoop eco system - 06 Create Databases Hive DDL Demo
- Data Warehouse using Hadoop eco system - 07 Extract and Load Sqoop Theory
- Data Warehouse using Hadoop eco system - 08 02 Extract and Load Sqoop Demo
- Data Warehouse using Hadoop eco system - 09 02 Extract and Load - Hive Load demo
- Data Warehouse using Hadoop eco system - 09 03 Transformation and Load
- Data Warehouse using Hadoop eco system - 09 04 Transformation and Load
- Data Warehouse using Hadoop eco system 09 01 Extract and Load Hive Theory
- Extracting Avro schema from Avro
- Flume - Ingest real time data into HDFS
- Flume - Running first job (telnet to logger)
- Flume - Setup Telnet
- Flume - Using HDFS Sink
- Hadoop Ceritfication - 01 Sqoop import delimiters
- Hive Metastore
- How Combiner Works
- Introduction
- Introduction of pyspark (python on spark)
- Partitioning in Hive with Avro file format
- Pyspark - 01 Aggregating Data (totals)
- Pyspark - 01 Joining Data Sets using Python
- Pyspark - 02 Aggregating data (totals continued)
- Pyspark - 02 Joining Data Sets using Python
- Pyspark - 03 Aggregating Data by key - Introduction
- Pyspark - 03 Joining Data Sets using SQL
- Pyspark - 04 Average by key
- Pyspark - 05 Max By Key (includes SQL)
- Pyspark - Developing Word Count program - flatMap
- Pyspark - Filtering data
- Pyspark - Global sorting and ranking
- Pyspark - Reading and Saving Hive and JSON data
- Pyspark - Reading and Saving Sequence Files
- Pyspark - Reading and Saving Text Files
- Pyspark - Recap of python list operations
- Pyspark - Sorting and Ranking
- Pyspark - Sorting and Ranking using SQL
- Scala - 01 Joining Data Sets
- Scala - 02 Aggregating Data by key - Introduction
- Scala - 02 Joining Data Sets using Hive
- Scala - 03 Average by key
- Scala - 04 Max By Key (includes SQL)
- Scala - Developing Word Count program - flatMap
- Scala - Filtering data (includes sql)
- Scala - Global sorting and ranking
- Scala - Ranking by key using groupByKey
- Scala - Reading and Saving Hive and JSON data
- Scala - Reading and Saving Sequence Files
- Scala - Reading and Saving Text Files
- Scala - Recap of scala list operations
- Scala - Sorting and Ranking by key using groupByKey
- Setup Spark 1.2.1 on Quickstart VM
- Spark Introduction
- Sqoop commands - list and eval
- Sqoop Job and Sqoop Merge
- Submitting pyspark applications
- Submitting scala applications
- Using Cloudera Quickstart VM
- Using Cloudera Quickstart VM (Add on)
- Word Count Explained
- 01 Flume Introduction
- 01 Sqoop common issues
- 01 Sqoop Export
- 01 Sqoop Import
- 02 Sqoop Export - Merge_Upsert
- 02 Sqoop export delimiters
- 02 Sqoop Import
- 02 Sqoop Import - Add on
- 03 Sqoop File Formats
- 03 Sqoop Import
- 04 Sqoop Import
- 05 Sqoop Import Incremental
- Avro Schema Evolution in Hive and Impala
- Cloudera Quickstart 5.5 Preview
- Cloudera Quickstart 5.5 preview - CCA certification
- Combiner in reduceByKey and aggregateByKey
- Common Issues - Connection Refused
- Conclusion and Best of luck
- Copying data from HDFS
- Create a table in the Hive metastore using Avro
- Data Analysis introduction
- Data Warehouse using Hadoop eco system - 05 Create Databases Hive DDL Theory
- Data Warehouse using Hadoop eco system - 06 Create Databases Hive DDL Demo
- Data Warehouse using Hadoop eco system - 07 Extract and Load Sqoop Theory
- Data Warehouse using Hadoop eco system - 08 02 Extract and Load Sqoop Demo
- Data Warehouse using Hadoop eco system - 09 02 Extract and Load - Hive Load demo
- Data Warehouse using Hadoop eco system - 09 03 Transformation and Load
- Data Warehouse using Hadoop eco system - 09 04 Transformation and Load
- Data Warehouse using Hadoop eco system 09 01 Extract and Load Hive Theory
- Extracting Avro schema from Avro
- Flume - Ingest real time data into HDFS
- Flume - Running first job (telnet to logger)
- Flume - Setup Telnet
- Flume - Using HDFS Sink
- Hadoop Ceritfication - 01 Sqoop import delimiters
- Hive Metastore
- How Combiner Works
- Introduction
- Introduction of pyspark (python on spark)
- Partitioning in Hive with Avro file format
- Pyspark - 01 Aggregating Data (totals)
- Pyspark - 01 Joining Data Sets using Python
- Pyspark - 02 Aggregating data (totals continued)
- Pyspark - 02 Joining Data Sets using Python
- Pyspark - 03 Aggregating Data by key - Introduction
- Pyspark - 03 Joining Data Sets using SQL
- Pyspark - 04 Average by key
- Pyspark - 05 Max By Key (includes SQL)
- Pyspark - Developing Word Count program - flatMap
- Pyspark - Filtering data
- Pyspark - Global sorting and ranking
- Pyspark - Reading and Saving Hive and JSON data
- Pyspark - Reading and Saving Sequence Files
- Pyspark - Reading and Saving Text Files
- Pyspark - Recap of python list operations
- Pyspark - Sorting and Ranking
- Pyspark - Sorting and Ranking using SQL
- Scala - 01 Joining Data Sets
- Scala - 02 Aggregating Data by key - Introduction
- Scala - 02 Joining Data Sets using Hive
- Scala - 03 Average by key
- Scala - 04 Max By Key (includes SQL)
- Scala - Developing Word Count program - flatMap
- Scala - Filtering data (includes sql)
- Scala - Global sorting and ranking
- Scala - Ranking by key using groupByKey
- Scala - Reading and Saving Hive and JSON data
- Scala - Reading and Saving Sequence Files
- Scala - Reading and Saving Text Files
- Scala - Recap of scala list operations
- Scala - Sorting and Ranking by key using groupByKey
- Setup Spark 1.2.1 on Quickstart VM
- Spark Introduction
- Sqoop commands - list and eval
- Sqoop Job and Sqoop Merge
- Submitting pyspark applications
- Submitting scala applications
- Using Cloudera Quickstart VM
- Using Cloudera Quickstart VM (Add on)
- Word Count Explained