Getting Started with Data Analytics

A typical flow to use EnOS to analyze your historical data is as follows:

Figure: Four steps to get started with offline data processing

Step 1: Prepare the data connection and target

  1. Prepare the data connection.
    • If the data connection is external, you’ll first need to set up connection to the source data. EnOS supports to synchronize data from MYSQL, SQL Server, Oracle, FTP, SFTP, Amazon S3, Azure Blob, and GitLab data connection. For information about how to connect to a specified database, see Data Connection.
    • If the data you want to process and analyze is on EnOS, such as the device master data accumulated and stored on EnOS. You can skip this substep.
  2. Prepare the target Create a hive table hosted on EnOS to store the data synchronized from the data connection. For more information, see Creating a Hive Table in Data Exploration.

Step 2: Synchronize the data from your data connection to EnOS

For external data connection, you can create data integration workflows from scratch or from importing existing workflows to synchronize your data. You can schedule one-time or periodical workflows as you need. For more information, see Data Integration

For master data synchronization, you can use the Data IDE function to create a workflow that uses the SYNC_MDM program. For more information, see Data IDE.

Step 3: Process the data

Use the Data IDE function to process your data, for example, converting columns to rows. EnOS provides rich data processing library that is ready to use.

For more information, see Data IDE.

Step 4: Explore the data

Optionally, you can use the Data Exploration Service to help you perform interactive data analytics and visualization before you start to use the data for further purposes such as dashboard and business intelligence. For more information, see Data Exploration.