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Meeting Details - 2014

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February 11, 2014

Title: The Big Data Mythology

Abstract:

Big or small, structured or unstructured, for data to be meaningful and usable in today’s massive and complex enterprises, the means to assure that the data’s consistency and interoperability is required. Increased size and complexity along with reduced structural definition of data associated with Big Data initiatives aggravate the problem.

Much has been written and discussed about the many V’s (Volume, Velocity, Variety…) of Big Data. The discussions have taken on an almost mythological quality.  We will look at two of the aspects of the BD-V’s of Variety and Value. Taking a business Value perspective we will look at the Big Data Varieties that are text centric; Human Generated, Big Transactional Data and Web/Social Media.  In this session we will examine the “unclassified” rather than “unstructured” nature of Big Data. We will introduce the Sandhill approach to practices and technologies to classify and integrate Big Data into traditional data management and data delivery processes.

Dare we say Myth…

Presenter:  Donald J. Soulsby

Mr. Soulsby is an Enterprise Architecture Practices Leader with Sandhill Consultants. His practice areas include strategic and technical architectures for information management, metadata management, and data warehousing. Mr. Soulsby has held senior professional services and product management positions with large multi-national corporations and software development organizations.

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March 12, 2014

Title: The Un-sung Hero of Big Data

Abstract:

Big data has been the talk of the analytics world for quite a while and shows no sign of slowing down. The promise of analyzing all relevant information, regardless of source, is an incredibly appealing idea. But despite all the buzz and interest, very few big data implementations have moved beyond the core Hadoop use cases of Web analytics, ad click analysis and failure prediction. This limited perspective has a lot to do with the fact that all big data has typically been lumped under the label of unstructured data, thus limiting its potential.

Has this stereotype impacted adoption?

Yes. Putting all types of information - including that which is not traditionally structured data - under a single label makes it difficult for companies to take a more nuanced view of their data landscape. This is a core requirement to understanding what technologies to bring to bear and, more importantly, understanding what data sources will provide the biggest bang for your big data buck.

When companies start to compare the business value of also investing in big content versus just big data, they start to realize that big content is, in many cases, the most important aspect from a value standpoint - an "unsung hero," if you will.


Webinar:

To register, please click on this link:
Registration URL: [click here]
Webinar ID: 132-155-715

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Presenter:  Reid Craig VP, PaaS, Attivio

Reid Craig is Vice President of PaaS (Platform-as-a-Service), responsible for product strategy, go-to-market strategy, and customer success. He began as a software engineer in Attivio’s R&D organization before moving over to the “Dark Side” to become Attivio’s first sales engineer. Over the next few years Reid had the opportunity to shape and grow what would become Attivio’s Solutions organization.

Reid has more than 15 years of experience in software, having held positions in all stages of the Software Development Life Cycle and all possible client-facing technical roles – client services, business analysis, QA, development, support, delivery, architecture, sales and consulting.

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