Big Data   Apache Spark


Topic Replies Activity
Data Ingest - real time, near real time and streaming analytics - Flume and Kafka in Streaming analytics 1 November 13, 2019
Data Ingest - real time, near real time and streaming analytics - Kafka – Anatomy of a topic 1 November 13, 2019
Data Ingest - real time, near real time and streaming analytics - Kafka – Getting Started – Produce and consume messages using commands 1 November 13, 2019
Data Ingest - real time, near real time and streaming analytics - Kafka – Getting Started – High Level Architecture 1 November 13, 2019
Data Ingest - real time, near real time and streaming analytics - Flume – Web Server Logs to HDFS – Deep dive to memory channel 1 November 13, 2019
Data Ingest - real time, near real time and streaming analytics - Flume – Web Server Logs to HDFS – Sink HDFS – Customize properties 1 November 13, 2019
Data Ingest - real time, near real time and streaming analytics - Flume – Web Server Logs to HDFS – Sink HDFS – Getting Started 1 November 13, 2019
Data Ingest - real time, near real time and streaming analytics - Flume – Web Server Logs to HDFS – Source exec 1 November 13, 2019
Data Ingest - real time, near real time and streaming analytics - Flume – Web Server Logs to HDFS – Setup Data 1 November 13, 2019
Data Ingest - real time, near real time and streaming analytics - Flume – Web Server Logs to HDFS – Introduction 1 November 13, 2019
Data Ingest - real time, near real time and streaming analytics - Flume – Getting Started 1 November 13, 2019
Data Ingest - real time, near real time and streaming analytics - Introduction 1 November 13, 2019
Apache Spark 1.6 - Data Analysis - Spark SQL or HiveQL using Spark Context - Data Frame Operations 1 November 13, 2019
Apache Spark 1.6 - Data Analysis - Spark SQL or HiveQL using Spark Context - Write Spark Application – Saving Data Frame to Hive tables 1 November 13, 2019
Apache Spark 1.6 - Data Analysis - Spark SQL or HiveQL using Spark Context - Write Spark Application – Processing Data using Spark SQL 1 November 13, 2019
Apache Spark 1.6 - Data Analysis - Spark SQL or HiveQL using Spark Context - Creating Data Frames and register as temp tables 1 November 13, 2019
Apache Spark 1.6 - Data Analysis - Spark SQL or HiveQL using Spark Context - Windowing Functions 1 November 13, 2019
Apache Spark 1.6 - Data Analysis - Spark SQL or HiveQL using Spark Context - Analytics functions – ranking 1 November 13, 2019
Apache Spark 1.6 - Data Analysis - Spark SQL or HiveQL using Spark Context - Analytics Functions – Aggregations 1 November 13, 2019
Apache Spark 1.6 - Data Analysis - Spark SQL or HiveQL using Spark Context - Set operations – union and union all 1 November 13, 2019
Apache Spark 1.6 - Data Analysis - Spark SQL or HiveQL using Spark Context - Sorting the data 1 November 13, 2019
Apache Spark 1.6 - Data Analysis - Spark SQL or HiveQL using Spark Context - Group by and aggregations 1 November 13, 2019
Apache Spark 1.6 - Data Analysis - Spark SQL or HiveQL using Spark Context - Joining data between multiple tables 1 November 13, 2019
Apache Spark 1.6 - Data Analysis - Spark SQL or HiveQL using Spark Context - Row level transformations 1 November 13, 2019
Apache Spark 1.6 - Data Analysis - Spark SQL or HiveQL using Spark Context - Functions – case and nvl 1 November 13, 2019
Apache Spark 1.6 - Data Analysis - Spark SQL or HiveQL using Spark Context - Functions – Aggregate Functions in brief 1 November 13, 2019
Apache Spark 1.6 - Data Analysis - Spark SQL or HiveQL using Spark Context - Functions – Date Manipulation 1 November 13, 2019
Apache Spark 1.6 - Data Analysis - Spark SQL or HiveQL using Spark Context - Functions – String Manipulation 1 November 13, 2019
Apache Spark 1.6 - Data Analysis - Spark SQL or HiveQL using Spark Context - Functions – Getting Started 1 November 13, 2019
Apache Spark 1.6 - Data Analysis - Spark SQL or HiveQL using Spark Context - Running SQL/Hive Commands using pyspark 1 November 13, 2019