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Analyzing Unstructured Data in Hadoop

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Matthew Schumpert, Director of Solutions Engineering, Datameer
Unstructured data is growing 62% per year faster than structured data. According to Gartner, data volumes are set to grow 800% in aggregate over the next 5 years, and 80% of it will be unstructured data.

Analysis of unstructured data can reveal important insights and interrelationships that are difficult or impossible to determine with traditional business intelligence tools and data warehousing infrastructure. Because unstructured data is typically large, dirty and “noisy”, it requires significantly more computing power and pre-processing to be able to extract the signal from the noise, and to find the insights that will ultimately enable businesses to make the most informed decisions possible.

Together, Hadoop and Datameer address the issues presented by unstructured data processing, and help businesses harness the potential this data, along with traditionally managed structured sources, ensuring the fastest time-to-insight.

This webinar will showcase and discuss:

•How applying big data analytics to unstructured data can help you gain richer, deeper and more accurate insights to gain competitive advantages
•The sources of unstructured data which include email, social media platforms, CRM systems, call center platforms (including notes and speech-to-text transcripts), and web scrapes
•How Monitoring the communications of your customers and prospects enables you to make time-sensitive decisions and jump on new business opportunities
Jun 18 2014
48 mins
Analyzing Unstructured Data in Hadoop
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  • Title: Analyzing Unstructured Data in Hadoop
  • Live at: Jun 18 2014 6:00 pm
  • Presented by: Matthew Schumpert, Director of Solutions Engineering, Datameer
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