'Unstructured data' presentation slideshows

Information Retrieval

Information Retrieval. CSE 8337 (Part I) Spring 2011 Some Material for these slides obtained from: Modern Information Retrieval by Ricardo Baeza -Yates and Berthier Ribeiro-Neto http://www.sims.berkeley.edu/~hearst/irbook/

1.34k views • 113 slides

Workflow and Process Management (WPM)

Workflow and Process Management (WPM). David Ding Management Department David Eccles School of Business, University of Utah. Agenda. Research Commentary: Workflow Management Issues in e-Business

766 views • 62 slides

.NET and MongoDB

Building Applications with NoRM and MongoDB Philly.NET Code Camp 2010.2 2010-10-09 John C. Zablocki Development Lead, MagazineRadar Adjunct, Fairfield University. .NET and MongoDB. Agenda. What is NoSQL? NoSQL Databases Introducing MongoDB .NET Drivers for MongoDB Introducing NoRM

761 views • 52 slides

Strategies for All Your Data

Session id: 40236. Strategies for All Your Data. Sandeepan Banerjee Vishu Krishnamurthy Oracle Corporation. Where are you spending your money ?. Data Management Labor Software Integration Hardware and System Integration. Too much information in too many places.

549 views • 40 slides

SharePoint enhancements through SQL Server 2008

502 views • 39 slides

Windows Mobile Application Development with Microsoft Visual Studio 2008

Windows Mobile Application Development with Microsoft Visual Studio 2008. Maarten Struys Windows Mobile Evangelist Alten -PTS Session Code : MOB201-SUN. Agenda. Introduction Creating a Windows Mobile Application Testing Windows Mobile Applications Data on the Device

568 views • 38 slides

An Introduction of Big Data

An Introduction of Big Data. WEB GROUP 2011.9.24. Outline. What is Big Data The Framework of Big Data The Applications of Big Data The Challenges of Big Data Research works related with Big Data Conclusions. What is Big Data. Information Explosion

633 views • 34 slides

385 views • 26 slides

Respond with confidence with Microsoft 365 Discovery Solutions

Respond with confidence with Microsoft 365 Discovery Solutions. Technical overview deck. Discovering the information you need when you need it is expensive and difficult. 20x Increase in average data created in day to day job at Microsoft over the last ten years. 70 %

433 views • 25 slides

Greg Schulz Top Storage Trends 2008

355 views • 19 slides

The Data Deluge

448 views • 19 slides

Building mission critical database apps with SQL Server code name "Denali"

333 views • 17 slides

Database Representation of Phenotype: Issues and Challenges

278 views • 16 slides

Vormetric Encryption Architecture Overview

605 views • 11 slides

The Big Deal about Big Data

Why is Big Data so critical? First you need to understand a little about what it is. Simply put, Big Data is any collection of data sets so broad and complicated that it becomes problematic to process using any on-hand database management tools or traditional data processing applications. In today's connected world, data is collected from everywhere and from many different sources, both structured (forms, registrations, surveys, etc.) and unstructured (comments, messages, likes, etc.). The information arrives from enterprise applications, social media, internet, mobile, and more

253 views • 11 slides

Advancements and Trends in Photogrammetry and Remote Sensing

555 views • 9 slides

The Microsoft Cloud Azure Platform

The Microsoft Cloud Azure Platform. This presentation incorporates some content from Microsoft. Types of Clouds. Private (On-Premise). Infrastructure (as a Service). Platform (as a Service). You manage. Applications. Applications. Applications. You manage. Runtimes. Runtimes.

337 views • 7 slides

Introduction to Distributed Storage Systems

Introduction to Distributed Storage Systems . Harry Xu CS 239, Fall 2019. Problems and Challenges. Extremely large amounts of data are available these days FB Social: 721M vertices, 68.7B edges in May 2011 Google Maps: 20 petabytes of data Where to put them Single machine? Servers?

159 views • 6 slides

What we mean by Big Data and Advanced Analytics

What we mean by Big Data and Advanced Analytics. Small data. Mostly structured data in existing relational databases of standard business applications (e.g., SAP, Oracle). Big data. Massive and multi-dimensional data Dispersed data sources (internal and external)

979 views • 4 slides

Mining Structured vs. Unstructured Data Where is the structure and where did the semantics go?

Mining Structured vs. Unstructured Data Where is the structure and where did the semantics go?. Rahim Yaseen SAP Labs LLC. Why Mining works for structured data. For relational data There is no separation of the semantic data model and the logical storage model

48 views • 4 slides