Using HANA and Hadoop, Key Scenarios – Part 2 ASUG Big Data Webcast

This is part 2 of an ASUG Webcast covering Big Data in an SAP Landscape.  Part 1 introducted the topic: Big Data in an SAP Landscape – ASUG Webcast Part 1

Figure 1: Source: SAP

Figure 1 shows you have SAP solutions, maybe with HANA, BI and analytics software.

In the mix, now you have Hadoop, and how to use it with SAP?

Four main ways is shown on the left of Figure 1 – a flexible data store, use it as a simple database, as a processing engine, analytics and existing SAP BI technologies.

Figure 2: Source: SAP

If you have a flexible data store, you can store pretty much anything – logs, smart meter data, social media, Facebook, twitter, e-mails.

You can store census data, archiving data and still access and analyze it.

Scenarios are covered on the lower right of Figure 2

Figure 3: Source: SAP

Figure 3 covers scenarios of using Hadoop as a simple database.

Figure 4: Source:SAP

Figure 4 covers Hadoop as a processing engine.

You can use this for text analytics with Data Services

You can look for patterns of analysis

Figure 5: Source: SAP

Two main uses of Hadoop for Data Analytics:

1. Two phase analytics
2. Query federation – “smart data access”

Figure 6: Source: SAP

You create jobs in Hadoop and push those results into HANA and combine with business suite.  You have to define your query first and involve IT

Figure 7: Source: SAP

HANA has the ability to look inside Hive and understand the data stored there.  Then you write a SQL query and pass that query to HANA.  With smart data access you no longer have to predefine the query

Figure 8: Source: SAP

Figure 8 shows the picture of HANA and Hadoop

You can use Data Services to load data

Using Smart Data Access you can query the data directly

Figure 9: Source: SAP

Why use them together?

Using SAP on its own as shown on the left but there is more data out there than just SAP (social media and other sources) to give you another perspective.

You can combine together to give you better insight, according to the SAP speaker.

Note:

The next blog, part 3, will cover reference architecture and usage scenarios

More Information:

SAP’s site http://www.sapbigdata.com/

If you are new to Big Data (like I am) you can enroll for free at Big Data University course http://bigdatauniversity.com/ sponsored by IBM.