Watch full webinar here: https://bit.ly/3hfEO6d
Die SAP Analytics Cloud (kurz "SAC" genannt) ist ein Service in der Cloud, der umfangreiche Analysefunktionen für Benutzer in einem Produkt bereit stellt. Wie immer bei der SAP ist auch die SAC technologisch gut integriert in die Welt der SAP Systeme.
Doch die Daten, die Unternehmen heutzutage analysieren möchten, befinden sich sehr häufig in den unterschiedlichsten Datenquellen: In relationalen Datenbanken, in Data Lakes, in Webservices, in Dateien, in NoSQL Datenbanken,... Und so stellt sich zwangsläufig die Frage, wie Sie aus der SAC heraus alle Daten konnektieren, transformieren und kombinieren können. Und das möglichst live, d.h. mit Abfragen auf Echtzeit-Daten! Hier kommt die Datenvirtualisierung ins Spiel: Sie bietet Anwendungen (so auch der SAC) einen einheitlichen, integrierten und performanten Zugriff auf SAP Daten und non-SAP Daten.
Erfahren Sie in diesem Webcast:
- Wie die Datenvirtualisierung funktioniert (in a Nutshell)
- Wie Sie aus der SAC heraus auf alle ihre Daten in Echtzeit zugreifen können ("Live Data Connection" genannt)
- Wie die Datenvirtualisierung die Performance auch für Abfragen auf grossen Datenmengen optimiert
SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?
1. EMEA WEBINARS
SAP Analytics Cloud: Haben Sie schon
alle Datenquellen im Live-Zugriff?
Jörg Meiners
Data Architect, Denodo Technologies
Marcel Metzen
Solution Manager, biX Consulting
2. 2
We enable organizations to connect to all
of their data in real time.
Recognized as a Leader in …
• Data Virtualization (Forrester)
• Enterprise Data Fabric (Forrester)
• Data Integration (Gartner)
Data Warehousing &
Analytics
• SAP
• Tableau
• MS Power BI
Architecture
Tool Evaluation
Competence Center
Coaching
Service OfferingsKey topics
SAP BW
SAP HANA
Technical
Consulting
Data Science
Frontend Tools
Business Planning
biX stands for Business Integration Excellence
and has provided Consulting, Service and
Solutions for Business Intelligence at the highest
level for over ten years.
3. Agenda1. Welcome to a heterogenous Data World
2. Demo: SAC connecting to Data
3. Q&A
4. 4
The Data World is heterogenous!
Different Platforms: using most
appropriate technology and format
Diversity driven by business grow
and acquisitions
Big Data adds many more data
sources, structured or semi-
structured
Data Warehouse
Data Lake
Enterprise Systems
Cloud
NoSQL
Files
6. 6
The Challenge: A bigger Picture
• Different data locations
• Different data formats
• Different access protocols
• Transformation & Combination
• Performance
• Change management
• Different security concepts
(authentication, authorization)
• Or no concept at all
• Where/how to do auditing?
Usability
Quality
Privacy
7. 7
"Data fabric enables frictionless access and sharing of data in a distributed
data environment. It enables a single and consistent data management
framework, which allows seamless data access and processing by design
across otherwise siloed storage."
https://www.gartner.com/en/newsroom/press-releases/2019-02-18-gartner-identifies-top-10-data-and-analytics-technolo
"Orchestrating disparate data sources intelligently and securely in a self-
service and automated manner, leveraging data platforms such as data lakes,
Hadoop, Spark, in-memory, data warehouse, and NoSQL to deliver a unified,
trusted, and comprehensive real-time view of customer and business data
across the enterprise."
https://www.forrester.com/staticassets/glossary.html
Enterprise Data Fabric
8. 8
Denodo: Leader in Enterprise Data Fabric
DATA CATALOG
Discover - Explore - Document
DATA AS A SERVICE
REST, OData, SOAP, ESB, …
BI Tools Data Science Tools
SQL
CONSUMERS
DATA VIRTUALIZATION
CONNECT
to disparate data
in any location, format
or latency
COMBINE
related data into views
with universal semantic
model
CONSUME
using BI & data science
tools, data catalog,
and APIs
Self-Service
Hybrid/
Multi-Cloud
Data
Governance
Query
Optimization
AI//ML
Recommendations
Security
LOGICALDATAFABRICSOURCES
Traditional
DB & DW
150+
data
adaptersCloud
Stores
Hadoop
& NoSQL OLAP Files Apps Streaming SaaS
9. 9
Execution Example
SELECT customer.country, sum(sales.revenue) AS total
FROM sales JOIN customer
ON sales.cust_id = customer.id
GROUP BY customer.country
SELECT customer.country, sum(sg.subtotal) as total
FROM
(SELECT cust_id, sum(revenue) AS subtotal
FROM sales GROUP BY cust_id) AS sg
JOIN customer
on sg.cust_id = customer.id
GROUP BY country
Automatic Rewriting
8m rows 100k rows
Denodo Partial Aggregation Pushdown
50k 100k
SELECT ...
FROM customer
SELECT …sum(revenue)…
FROM sales
GROUP BY cust_id
join
group by
10. 10
Your Hub to the World of Data
CONSUMERS
Self-Service
Hybrid/
Multi-Cloud
Data
Governance
Query
Optimization
AI//ML
Recommendations
Security
LOGICALDATAFABRICSOURCES
Traditional
DB & DW
150+
data
adaptersCloud
Stores
Hadoop
& NoSQL OLAP Files Apps Streaming SaaS
Import Connection Live Connection
DATA CATALOG
Discover - Explore - Document
11. • Data is stored in the cloud
• Data requests will be triggered by import jobs
• Authorisation administration in the cloud
• Requires additional installation
of SAP Cloud Connector/Agent
• Connection in real time
• Only metadata are stored in the cloud
• Data access rights apply to those systems that provide data
• Secured connection between browser and source
11
Live vs. Import Data Connection
12. 12
Connecting from SAC to Denodo
IMPORT CONNECTION
• SAC -> OData -> Denodo
• SAC -> SQL Database (JDBC/ODBC) -> Denodo
LIVE CONNECTION
• SAC -> SAP Universes -> Denodo
• SAC -> APOS Data Live Gateway -> Denodo
• SAC -> made by biX -> Denodo
… und das zeigen wir
Ihnen jetzt!
13. Made by biX – SAP Analytics Cloud & Denodo Realtime Connect
13
14. 14
Key Takeaways
Get it Real-time and Get it Fast!
• Explore all of your Data
• Import and Live Connection
• Denodo to deliver:
‒ Connectivity
‒ Security
‒ Performance