HANDS-ON WITH BIG DATA VIA Ambari - PART 2

A very much continuation from my previous write-up Hortonworks – Big Data Hands-on.

We assume now the Ambari portal setup is done & ready for action once follow the previous posts.

“Ambari is Apache Hadoop based portal for big data administration, modelling & execution.”

Create Table & Load Data

• First, download sample data. Download & extract the file to your computer, should contain 2 files. geolocation.csv & trucks.csv.
• Load the file to AMBARI’s file system & setup access right. Steps
• Load the sample raw file from file system to first layer of Hadoop Distributed File System ( HDFS ), Apache HIVE. And select Tez as execution engine of HIVE. Steps

If you are familiar with SAP BW, imagen

• .CSV file as data in an ECC system
• ORC as data acquisition layer/PSA
• HIVE & TEZ as BW data modelling creating final Multiprovider  or InfoCube

Query Data with Hadoop 

With above mentioned steps, ORC tables loaded with sample data. Ready to be query via HIVE & TEZ

Good News. The latest version of Ambari, incorporated visualization of data within the platform.

Click on the “Visualization” icon on the right hand side panel.

Data Visualization

Choose the relevant dimension/measures for analysis in “Data Visualization” tab.

Switch to “Data Explorer” to visualize the selected dimension & measures.

From setting up Hadoop environment to all the way visualize the big data in a Hadoop environment… quite a journey.

If you are following the write-up from my previous blog, we can recall about SAP’s partnership with Hortownworks and later merger with Cloudera.

Let’s go some extra miles by technically test the co-operation between SAP & Big Data Hortonworks environment in my next write-up, using SAP LUMIRA. Stay tune.

Disclaimer: My original post in 2017, reposted here again to centralise my digital profile in one single location, in dataChief. And to share the knowledge with any members starting with big data.