dale oldford - is your data cloud ready
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The Cloud: Searching for Meaning
Is Your Data Cloud-Ready?
APRIL 2012
2
Confidential
Agenda
• Finding meaningful data in the “Cloud”
• Example 1: Prime Time Blogs
• Open Data
• Example 2: “Unlocking” Your Data
• The “ABC” Formula
• Some of the Challenges
• Shaping your data for “Cloud” readiness
• Conclusions
• Q&A
3
Confidential
Agenda
• Finding meaningful data in the “Cloud”
• Example 1: Prime Time Blogs
• Open Data
• Example 2: “Unlocking” Your Data
• The “ABC” Formula
• Some of the Challenges
• Shaping your data for “Cloud” readiness
• Conclusions
• Q&A
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Traditional Web search approaches are not hitting the mark
Traditional Web Search ApproachA search engine is used to retrieve data from the “cloud” in an attempt to satisfy information needs. Search results are browsed and filtered manually by the user. Even if meaningful data is found, the process is repeated all over again.
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Pipes & Mashups can be leveraged to combine “Cloud” and Enterprise data
“Web 2.0” Search ApproachSearch engine capabilities are combined with Web 2.0 tools such as pipes and data mashups to retrieve data from the “cloud” and satisfy specific information needs. A subscription model is used to browse and filter data automatically.
Pipes* is a powerful
composition tool to
aggregate, manipulate,
and mashup content
from around the Web.
A mashup* is a Web
page or application
that uses and
combines data,
presentation or
functionality from two
or more sources to
create new services.
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Seeding the “Cloud” helps influence the value of information you receive
“Web 2.0” Search ApproachThe Web evolution is enabling technologies and tools to facilitate information sharing and collaboration in virtual communities, where members are active participants as “prosumers” of content, instead of passive consumers of data.
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Agenda
• Finding meaningful data in the “Cloud”
• Example 1: Prime Time Blogs
• Open Data
• Example 2: “Unlocking” Your Data
• The “ABC” Formula
• Some of the Challenges
• Shaping your data for “Cloud” readiness
• Conclusions
• Q&A
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Confidential
Example 1: Prime Time Blogs
EpisodesShare your thoughts on NCIS Episodes.
CharactersDiscuss your favorite NCIS characters.
General DiscussionDiscuss everything NCIS here.
NCIS rating between 11 – 20 million viewersSearch results (Google): “NCIS Episode” 194,000, “NCIS Episode Blogs” 69,300
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Agenda
• Finding meaningful data in the “Cloud”
• Example 1: Prime Time Blogs
• Open Data
• Example 2: “Unlocking” Your Data
• The “ABC” Formula
• Some of the Challenges
• Shaping your data for “Cloud” readiness
• Conclusions
• Q&A
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Initiatives are on their way to make sharing data in the “Cloud” easier
Open Data InitiativesGovernment 2.0 refers to the integration of new-generation digital media technologies into government structure and operations.
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Sharing and using shared data can open new possibilities of value creation
Open Data InitiativesGovernment 2.0 refers to the integration of new-generation digital media technologies into government structure and operations.
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Agenda
• Finding meaningful data in the “Cloud”
• Example 1: Prime Time Blogs
• Open Data
• Example 2: “Unlocking” Your Data
• The “ABC” Formula
• Some of the Challenges
• Shaping your data for “Cloud” readiness
• Conclusions
• Q&A
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Confidential
Example 2: “Unlocking” Your Data
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Confidential
Agenda
• Finding meaningful data in the “Cloud”
• Example 1: Prime Time Blogs
• Open Data
• Example 2: “Unlocking” Your Data
• The “ABC” Formula
• Some of the Challenges
• Shaping your data for “Cloud” readiness
• Conclusions
• Q&A
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Confidential
The “ABC” Formula
Traditional
Web Search
Web 2.0 Pipes &
Data Mashups
Web 2.0 Prosumers
(Social Media)
Open Data
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The “ABC” Formula
How?Analytics can enhance both Enterprise and Web Search capabilities by incorporating machine learning and automation techniques for meaningful information retrieval.
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Agenda
• Finding meaningful data in the “Cloud”
• Example 1: Prime Time Blogs
• Open Data
• Example 2: “Unlocking” Your Data
• The “ABC” Formula
• Some of the Challenges
• Shaping your data for “Cloud” readiness
• Conclusions
• Q&A
18
Confidential
Some of the Challenges
Unclear requirements
Lack of Web “visibility”
“Not there yet”
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Confidential
Some of the Challenges
Unclear requirements
Lack of Web “visibility”
“Not there yet”
• Content ingestion (or content collection) models*:• Push model: A source system is integrated with the search engine
in such a way that it connects to it and pushes new content directly to its APIs.
• Pull model: The software gathers content from sources using a connector such as a web crawler or a database connector.
• RSS-enabled content, which includes full or summarized text plus metadata.
* Wikipedia
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Some of the Challenges
Unclear requirements
Lack of Web “visibility”
“Not there yet”
• Who is going to own the initiative?
• Competing priorities
• Privacy issues
• Infrastructure concerns
Is your Data Ready?
More importantly… Is your Organization Ready?
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Agenda
• Finding meaningful data in the “Cloud”
• Example 1: Prime Time Blogs
• Open Data
• Example 2: “Unlocking” Your Data
• The “ABC” Formula
• Some of the Challenges
• Shaping your data for “Cloud” readiness
• Conclusions
• Q&A
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Shaping your data for “Cloud” readiness
• How are you handling?
• Data Quality
• Data Privacy and Security
• Metadata
Data Governance
• How are you mapping business value creation opportunities to Big Data & the “Cloud”?
Opportunity Identification
• How are you protecting your assets from the threats that exist in the “Cloud”?
Asset Protection
• How are you changing in response to the value that is being created?
• Are you equipped to change?
Value Ingestion
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Agenda
• Finding meaningful data in the “Cloud”
• Example 1: Prime Time Blogs
• Open Data
• Example 2: “Unlocking” Your Data
• The “ABC” Formula
• Some of the Challenges
• Shaping your data for “Cloud” readiness
• Conclusions
• Q&A
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Confidential
Conclusions
• Web 2.0 technologies and analytics provide feasible options to cope with challenging characteristics of Big Data (i.e., volume, velocity, and variety).
• Analytics enables enterprise search solutions to perform complex tasks requiring machine learning and automation.
• Cloud readiness goes beyond data and available technology.
When preparing your data and organization to become Cloud-Ready…
Consider the “ABC” formula
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Confidential
Agenda
• Finding meaningful data in the “Cloud”
• Example 1: Prime Time Blogs
• Open Data
• Example 2: “Unlocking” Your Data
• The “ABC” Formula
• Some of the Challenges
• Shaping your data for “Cloud” readiness
• Conclusions
• Q&A
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