Big Data, Big Thinking: Simplified ArchitectureHow 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

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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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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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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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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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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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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- 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 usParticipate 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

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