Skip to Content

Working with Time Series using Apache Zeppelin

Previous

Working with Time Series using Apache Zeppelin

By Vitaliy Rudnytskiy

SAP Vora in-memory engine enables efficient analyses of time series data in distributed environments

You will learn

You will learn how to process time series data using SAP Vora engine.

Details


Step 1: Time Series processing

The SAP Vora time series engine enhances the in-memory engine by enabling time series data to be efficiently analyzed in distributed environments. It supports highly compressed time series storage and time series analysis algorithms that work directly on top of the compressed data.

Please log in to access this content.
Step 2: Running notebook 5_Time_Series

Select the 5_Time_Series notebook.
Notebook

Start off by creating the required partition function and scheme, then follow by creating a table and loading time-series data.
Start time series

Continue with the paragraphs as below, doing simple time-series analysis, calculate the advance from a specific point in time.
Time series analysis

Next we determine the trend of sales over a time period, multi column analysis of Sales-Advertising and overall trend in sales and advertising.
More time series analysis

Please log in to access this content.

Next Steps

Updated 05/23/2017

Time to Complete

15 Min

Beginner

Tags

Next
Back to top