Big data topics take center stage at HP Discover 2012
Big data, as the term suggests, encompasses many things: information management and optimization, analytics, structured and unstructured data, business intelligence (BI), and enterprise content management (ECM). As organizations struggle with these issues, the conversation about big data has deepened.
Since acquiring Autonomy in October 2011, HP has raised the volume on the big data conversation. That's because Autonomy offers a totally new and unique approach to addressing the big data challenge.
Autonomy's software is designed for the type of information that's growing fastest—unstructured data such as audio, video and social media, which doesn't live in databases. It's not that structured data such as relational databases is going away; it's just not growing as fast. In fact, HP bolstered its structured data capabilities with Vertica, a company it acquired in 2011 and whose solutions it integrated with Autonomy's software.
Andrew Joiner, CEO, Autonomy Promote, a division of HP, finishes his presentation on HP's information management strategy.
Not surprisingly, big data was a big focus at HP Discover 2012. The conference featured numerous sessions with HP executives and technologists briefing attendees on HP's big data vision and solutions. If you missed HP Discover 2012 or couldn't attend the sessions, they're archived for you to view on demand. Just click on the links below, register for Discover Online (it's free) and join the conversation.
Track keynote presentations:
A powerful feature of Autonomy's software is the ability to correlate “why” information, such as user sentiment and opinion, with the “what” information, such as a stock's price. In this session Andrew Joiner, CEO of the Autonomy Promote division within HP, explains how this works. Part big picture perspective on the role information plays in today's enterprise, part detailed explanation of how Autonomy's software can derive insight from data through context, including a demo, Joiner's talk offers great insight on how Autonomy enhances HP's big data and information management strategy.
- Autonomy: Leading the Human Information Revolution (32 minutes)
Unstructured data is often referred to as human information. But what exactly is human information? And how must you manage it differently? Sam Kalbag, VP, global accounts, HP and a former CTO at Autonomy explores these and other questions this session. Kalbag defines meaning-based computing and explains how it allows Autonomy's IDOL 10 platform to treat human information the way databases handled transactional or structured data. This session is for you if you're curious how Autonomy's IDOL 10 (intelligent data offering layer) platform works and who's using it.
Track and breakout sessions:
Big data
- Harnessing big data: connecting the seen and unseen (26 minutes)
Data is the new currency of business—but only if you can manage and exploit its massive volume, velocity and variety and translate it intelligently. Watch this session to find out how you can harness the value of information. Find out what HP's information management and analytics consulting services offer.
- SLED intro to big data and real-time analytics (37 minutes)
Curious what HP's recent acquisition of Vertica brings to its broader information management strategy and offerings? If so, this session is for you. Find out how Vertica's software addresses the big data challenge, what real-time analytics means, and how HP is integrating Vertica's software with Autonomy's.
Watch this session for a definition of big data analytics, to learn about different solution types and how HP's consulting services organization is pulling them together to solve customers' big data challenges. This session features KB Ramesh, worldwide director, storage and data consulting services, HP.
Information optimization
Imagine building a more complete profile of your customers by combining what people are saying on Twitter with customer data stored in your databases. That's how your transform BI and analytics. Saum Mather, VP, global IT at HP discusses how his team did this to better understand what customers wanted in HP laptops. If you're curious how companies can combine structured and unstructured data for better BI, check out this session.
One of the most important trends cited in this session is the fact that information is always changing. This session explains how Autonomy's, now HP's, “manage in place” architecture is the best and only way to effectively manage information today. The presenters also explain how HP's Autonomy information management solution differs from and is better than Oracle and Endeca's.
Unstructured data
- Next-generation enterprise content management (44 minutes)
Enterprise content management (ECM) has come a long way since the early days of document management. Today's enterprise must manage audio, images, video and social media. Check out this session to learn how ECM has evolved to support human information and why traditional approaches to ECM won't work.
In this more technical session, Rafiq Mohammadi, CEO, Promote (Autonomy), explores what is meant by meaning-based marketing and explains why XML and Boolean search doesn't work in today's world of human-centric information—mobile, social media, video and audio. Mohammadi clarifies how HP combined Vertica's structured information management with Autonomy's unstructured approach and how mathematics can be used to discern patterns and insights in human information.
Since HP announced its acquisition of Autonomy in 2011, the company has heralded Autonomy's leadership in managing unstructured data—audio, video, social media, text messages, etc. At the heart of Autonomy's solution is IDOL 10 (intelligent data offering layer). In this technical session, former Autonomy CTO Sam Kalbag explains how IDOL 10 works and offers details on its OS and device, and hardware compatibility.
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