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About Big Data
There may not be a consensus with respect to just how big

semi structured data  sources of data from semi- or nonstructured social media sources, such as blogs and tweets, as well as data coming from sensors and even plain-text documents. Velocity. As with traditional types of solutions (e.g., the data warehouse), latency periods are being reduced. Information is often sensitive and needs to be used and moved according to certain timeframes to obtain the best possible value from it. Real-time or near real-time answers are common needs in modern organizations. Once it’s established Read More...
Core PLM for Discrete Industries
The foundation of product lifecycle management (PLM) for the discrete manufacturing industries is product data management (PDM). It covers design and product-related aspects of PLM including manage...
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Documents related to » semi structured data


A Semi-open Source Vendor Discusses Market Trends
A response to trends in the open source software market comes this time from relative newcomer provider xTuple. This vendor’s footprint isn’t entirely in the

semi structured data  aerospace, automotive parts, etc.); semiconductor and electronics (imaging sensors, magnetic encoders, storage, backup hardware, etc.); and consumer goods or retail manufacturers (dental, beauty epoxies, post-surgical garments, etc.). One particular functionality that makes xTuple applicable to various, seemingly unrelated industries is breeder BOM (also known as inverted BOM, or reverse BOM elsewhere in the industry), which manages coproducts and byproducts. While this need is obvious in food industries Read More...
The User's Undying Quest for Exploring and Discovering Info - Part 1
SAP AG and Endeca Technologies might not appear to have much in common at first glance, other than occasional partnering in some joint opportunities, and

semi structured data  Endeca’s Secret Sauce The  semi-structured model  helps overcome the drawbacks of traditional rigid overarching  relational schemas  that are too limited to handle diverse (structured and unstructured) and ever-changing data. On the other hand,  OLAP (online analytical processing) cubes  might be able to overcome relational databases’ inability to provide near instantaneous analysis and display of large amounts of data, but they are still not able to accommodate ever growing number of new (perha Read More...
Vitria OI 4: Data for Today and for the Future
Vitria is a long-time player in the provisioning of software solutions for analyzing information in real time. Founded in 1994 by two entrepreneurs—Drs. JoMei

semi structured data  Possibility of analyzing structured, semi-structured, and loosely structured data Platform Availability of cloud, multi-tier, and clustering architectures Automatic load partitioning and assignment New fault-tolerance features for N+K resiliency for more robust information security and transmission Operational  intelligence Ability for performing real-time process intelligence Ability for performing BPM across multiple dimensions The first two bullets address two major trends in the information Read More...
Data Discovery Applications
Over the last five years, the business intelligence (BI) space has undergone a huge transformation. The business user community has lobbied for data analysis

semi structured data  data source types (structured, semi-structured, and non-structured) and enabling users to freely explore the data within. There are no predefined data drill paths, so users can interact with data the way they want to and easily create visualizations that suit their own purposes. As such, they boast a flexibility and freshness that traditional BI solutions might find hard to match. Taking advantage of these features, users can create prototypes fast and evolve them into more robust data exploration and Read More...
Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ

semi structured data  data quality solution,enterprise information management,enterprise information management strategy,enterprise information management definition,enterprise information management framework,enterprise information management software,data quality maturity,data quality software,open source data quality software,data quality,data quality tools,customer data quality,data quality metrics,data quality management,data quality objectives Read More...
Flexible Customer Data Integration Solution Adapts to Your Business Needs
Siperian's master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage, and customize customer-related data.

semi structured data  business intelligence,BI,data integration,customer relationship management,CRM,enterprise resource planning,ERP,customer data integration,CDI,master data management,MDM,customer data hubs,service-oriented architecture,SOA,Siperian Read More...
The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more

semi structured data  Big Data,Big Data architecture,Big Data challenges,Big Data system,Big Data technology Read More...
Types of Prefabricated Modular Data Centers
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod

semi structured data  DCIM, data center, data center infrastructure management, DCIM management, IT, IT infrastructure, APC by Schneider Electric, facility operations and maintenance, data center facility operations, data center PUE, PUE, prefabricated modular data center, data center systems Read More...
Data Storage in the Cloud-Can you Afford Not To?
Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast,

semi structured data  data storage in the cloud,cloud data storage,online data storage,offsite data storage,data storage cloud,data storage solution,data storage business,data storage,data storage internet,data storage service,best cloud storage,online data storage backup,microsoft cloud storage,cloud services,cloud storage providers Read More...
Optimizing Gross Margin over Continously Cleansed Data
Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards

semi structured data  product data,product data analyst,product data base,product data feed,product data file,product data information,product data mastering,product data services,product data solutions,product data specialist Read More...
Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization
Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches

semi structured data  network encryption,regulatory data protection,data protection breach,regulatory data,data security management,data encryption,data structures,data stores,data groups,data items,enterprise architecture framework,data models,data storage systems,data protection solutions,data network security Read More...
Four Critical Success Factors to Cleansing Data
Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment

semi structured data  Critical Success Factors to Cleansing Data Four Critical Success Factors to Cleansing Data If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Data Cleansing and Synchronization Services The pace with which companies are forced to operate and to compete globally has taxed exisitng systems and increased their inefficiencies. Source : PM ATLAS Business Group, LLC Resources Related to Critical Success Factors to Cleansing Data : Data Clea Read More...
Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security
Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all

semi structured data   Read More...

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