This webinar discusses how to simplify IT architecture for handling big data. It explains that SAP's HANA platform allows consolidating transactional and analytical systems onto one platform to process and deliver data in real-time. The webinar also outlines the benefits of Cloudera's Hadoop working with SAP HANA, including keeping historical or unstructured IoT data in Hadoop without duplicating it, and enhancing security and performance through Intel partnerships.

1. Big Data, Big Thinking:
Simplified Architecture
How can you handle the complexities of Big Data while simplifying your IT architecture?
In this webinar, SAP’s Dr Mark von Kopp and Bernard Doering from Cloudera reveal why Big Data is
about more than the “3 Vs” and how to create a unified data management framework that will actively
streamline your IT landscape.
SAP Big Data, Big Thinking webinar series

2. Big Data: the big challenge
SAP Big Data, Big Thinking webinar series
Today, some 70-80% of business
processes relating to data will happen
outside the organization in real-time.
Big Data isn’t for the 1% who can use
powerful business warehouse tools, but
an opportunity for employees in any line
of business to explore new models and
develop new revenue streams.
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3. More than 3 Vs
SAP Big Data, Big Thinking webinar series
Gartner originally defined Big Data according to three Vs: But if you want reliable insight, you also need:
Variety – the diversity of structured, semi-
structured and unstructured data sources
Volume – the sheer amount of data created by
the digitization of almost everything
Velocity – the speed at which data is
captured in real-time
Value – what will the output
achieve, given that no business case
will justify investment purely for
technology’s sake?
Validity – is the data accurate and up-to-date,
i.e. true at the point of use?
Veracity – will the data produce
meaningful results for the use case?
Visibility – is the insight accessible to everyone
who needs it, not just data scientists?
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4. Sources that present Big Data opportunities include:
Data, data everywhere
SAP Big Data, Big Thinking webinar series
Clickstream
Transactions
Planning and
simulations
RFID
Location-based
services
Customer
data
Log data
Real-time
replication
Digital
communications
PoS
data
Sensor
data
Mobile
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5. SAP Big Data, Big Thinking webinar series
You can process,
manipulate and deliver
information in real-time to
any application or user
If your current IT architecture is in any way typical, it will likely
feature multiple instances of ERP systems, customer and supplier
relationship management databases, various point solutions, plus
analytics, social integration, mobile apps and cloud infrastructure.
As complexity grows, cost rises.
Consolidate on the SAP HANA platform
Instead of tiered architecture, where data is physically moved to
the application server – and the inevitable latency that results –
the SAP HANA platform processes data in memory.
The unified data management framework allows you to
consolidate all your transactional and analytical systems, data
marts and silos, so you can process, manipulate and deliver
information in real-time to any application or user.
A fragmented and complex
IT landscape
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6. SAP HANA can support
three flavors of analytics
SAP Big Data, Big Thinking webinar series
Descriptive analytics – condenses Big Data into smaller, useful nuggets of information
that summarize what has already happened, e.g. event counters such as number of ‘likes’
on social media
Predictive analytics – uses a variety of statistical modeling techniques to help you make
predictions about what might happen in future based on data you already have,
e.g. customer sentiment analysis
Prescriptive analytics – requires a predictive model with actionable data and a
feedback loop, to predict the possible consequences of a choice of actions, so a
business decision maker can act upon information
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7. SAP Big Data, Big Thinking webinar series
The SAP HANA platform comes with:
- 400 different pre-built data models to
consume, saving you time accessing data
silos at the back end
- A predictive analysis library
- Geospatial capabilities
- Search and text mining, to make insights
discoverable
- A query and data federation layer with
adapters for Oracle, Microsoft and Hadoop
- Application and UI services, to provide
support for any device
- Planning and rules engines
- And much more
Cloudera and Intel alliance –
what’s the big idea?
Intel has invested $740m in Cloudera to
accelerate the evolution of Hadoop by:
- Joining forces on foundational
technologies, e.g. Cloudera’s market-
leading Impala SQL engine for Hadoop
- Enabling open source developers to
innovate on the Hadoop platform
- Providing the only distribution with
performance and security enhanced from
the silicon up
- Creating a community of 200 Hadoop
developers and 112 open source
committers
- Enabling Cloudera to run best on Intel
architecture, for faster insights, better
security and less complexity
A complete toolkit
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8. - Instead of bringing data to compute power, you can now put data at the hub of the
compute power
- SAP HANA will be able to handle even larger volumes of data with even better
performance
- Hadoop was originally developed with modular security – now, with a unified security
concept, data can be encrypted at all stages, in motion or at rest
- The architecture allows all Internet of Things data that doesn’t fit into schema or
standard SQL databases to be kept in Hadoop without cost-prohibitive duplication
- Cloudera Hadoop sits beneath enterprise systems, so you can keep historical data
cost-effectively in a nearline archive in Hadoop, and only serve up valuable known data
to SAP HANA
- Enhancements will be made available to competitors to create an open and
standardized market world wide, but optimized for Intel Xeon servers as a priority
What are the benefits?
Join us
Participate in this webinar
series to understand how
you can get started with
Big Data. Join our expert
speakers as they share
their insights and guide
you through real-world Big
Data examples. For detailed
information about the Big
Data, Big Thinking webinars
and to register, go to
bit.ly/BigDataBigThinking
SAP Big Data, Big Thinking webinar series
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