Access to New Types of Data

Objectives
After completing this lesson, you will be able to:

After completing this lesson, you will be able to:

  • Describe how SAP HANA Cloud works with new types of data to power innovative applications

Access Any Type of Data Anywhere

In today’s digital world, there are many new types of data.

As well as the traditional business data of structured records, we also have the following new data types:

  • Spatial Data

    This is data that relates to space such as geographic position, maps, engineering diagrams, floor plans.

  • Graph Data

    This is data that relates to highly networked organizational entities such as social networks, supply chains.

SAP HANA Cloud can store and also process new types of data with the same SAP HANA Cloud database. In the past, different data types had to be stored and managed in separate systems, combining them was challenging. Combining data types results in the development of innovative applications that were never before possible.

For example, imagine a visual application used by an energy company to provide geographic information on infrastructure alerts, which can provide drill-down possibilities to access detailed text based data, e.g. incident tickets, support tickets. Then link the incident tickets using subject graphs to identify root-causes of breakdowns.

SAP HANA Cloud can also access data from any type of source, including the following:

  • Enterprise Systems

    SAP S/4HANA is an example of an enterprise system.

  • Data Warehouses

    BW is an example of a data warehouse.

  • Archives

    SAP HANA Cloud can create an online connection to remote archives.

  • Big Data

    Apache Hadoop is an example of Big Data.

  • File Stores

    XL, CSV, and XML are examples of file stores.

  • Databases

    This includes any relational database.

  • Social Networks

    Twitter, Facebook, and LinkedIn are examples of social networks.

SAP HANA Cloud can also access remote data without loading the data to its database. This means a live view of remotely stored data is always possible.

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