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

big data summit  Big Data There is no general consensus with respect to how big big data is—some companies deal with data volumes in the order of terabytes or even petabytes—but not many people will disagree that managing these huge amounts of data represents a challenge. It’s fair to say that we’re dealing with big data when traditional relational databases and systems are no longer sufficient. Things as simple as data storage and movement between repositories can have a big impact on the organization. Big Read More...
Field Service Management (FSM)
Field service management (FSM) software is a set of functionalities for organizations or departments within organizations that have as main focus the intallation, maintanance, reparing, and meter r...
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Documents related to » big data summit


SAP HANA-One Technology to Watch in 2012 (and Beyond)
Did you know that SAP HANA is much more than a high-speed analytic appliance? TEC principal analyst P.J. Jakovljevic reveals how HANA is a universal database

big data summit  this is not a big deal, as most of Sybase database customers (Wall Street financial services companies) do not use SAP software on top of Sybase. It is likely that HANA will coexist with incumbent relational databases in SAP environments. In theory, companies can even install two HANA instances: one for OLTP and the other for OLAP purposes. It will be quite critical for SAP to espouse an attractive pricing and value proposition for existing and prospective customers to abandon the technology they’ve Read More...
Siemens PLM Tackles Product Costing


big data summit  everyday decisions have a big impact. Perfect Costing for Better Design Decisions In a nutshell, helping its customers make smarter decisions that lead to better products has long been a hallmark of Siemens PLM Software’s business strategy and HD-PLM vision. Product cost estimation and analysis early in the product lifecycle, along with intelligently integrated information, is an important part of that good decision-making process, leading ultimately to improved profitability. Knowing total cost of Read More...
The Takeaway From Microsoft TechEd 2013: Cloud and Data Power
I’ve finally had the chance to go over some of the highlights of Microsoft’s recent TechEd conference and analyst summit held in New Orleans, Louisiana, at the

big data summit  the company’s approach for big data partnering with Hortonworks. The competition is fierce, especially in the crossover areas of cloud and big data management, site of many of the market battles happening today, but including the augmentation of its presence for enterprises as part of its strategy could position Microsoft as an important competitor. Conclusion Other interesting announcements at TechEd featured mobility, such as the Microsoft Intune update and the Windows 8.1 release, but these might Read More...
Workday to Tackle Talent Acquisition
One of the major announcements at the recently held Workday Rising 2012 conference was that Workday will develop its own talent acquisition suite from scratch

big data summit  TEC News: Workday Tackles Big Data in the Cloud Workday Becoming a Global Financial Management Software Provider Read More...
Oracle Database 11g for Data Warehousing and Business Intelligence
Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and

big data summit  Database 11g for Data Warehousing and Business Intelligence Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data. 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

big data summit  easier. If not, no big deal, you just need to be aware that you will have some overhead for some behind the scenes technical tasks that are required in the process. Dirty data manifests itself in many different anomalies, below are just a few: Discrepancies in the structure of the data items and specified format Irregularities Integrity constraint violations Contradictions Duplicates Invalid Missing values (part or whole records) Orphaned data Examples of data anomalies: Multiple addresses for IBM Same Read More...
The Path to Healthy Data Governance
Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex

big data summit  and plan carefully.  Think big, but start small. These steps will ensure 100 percent support from all levels of leadership and stakeholders. Note that the careful planning and charting of your program can be definitive in augmenting its chance of success. By addressing a set of small problems first, you can more reliably gauge the scope of your program.  A Final Word I concur with the view of Data Management International —that the needs of business drive the needs for information; together they drive Read More...
Big Machines for Big Problems? Not Necessarily.
GeoEye is the leading provider of map-accurate commercial imagery to the US military and intelligence community. In the past, GeoEye lived by the motto that

big data summit  Machines for Big Problems? Not Necessarily. GeoEye is the leading provider of map-accurate commercial imagery to the US military and intelligence community. In the past, GeoEye lived by the motto that “big problems require big machines.” However, this was presenting the company with significant—and escalating—cost and complexity issues. The solution: a self-managing and self-healing distributed computing environment that required no custom application development. Read More...
Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices
This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions

big data summit  up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions to the challenges of protecting distributed business data by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information 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

big data summit  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 efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers. Read More...
Big ERP vs. Tier 2 ERP - Is the Gap in Functionality as Big as it Appears?
Recently, we have witnessed Infor’s aggressive advertising campaign against its bigger rivals that are conjointly called “Big ERP,” where it is blaming them for

big data summit  Gap in Functionality as Big as it Appears? Recently, we have witnessed Infor’s aggressive advertising campaign against its bigger rivals that are conjointly called “Big ERP,” where it is blaming them for inflexibility, neglecting customers’ interests, and charging enormous amounts of money for their software and service. As an alternative, Infor and its competitors offer a variety of tier 2 systems that can supposedly satisfy rigorous business’ requirements and, at the same time, are more agile, Read More...
Implementing Energy-Efficient Data Centers
But in the white paper implementing energy-efficient data centers, you'll learn how to save money by using less electricitywhether your data cente...

big data summit  Energy-Efficient Data Centers Did you realize that your data center(s) may be costing you money by wasting electricity ? Or that there are at least 10 different strategies you can employ to dramatically cut data center energy consumption ? The fact is, most data centers are not designed with energy efficiency in mind. But in the white paper Implementing Energy-efficient Data Centers , you'll learn how to save money by using less electricity—whether your data centers are still in the design Read More...
Addressing the Complexities of Remote Data Protection
As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and

big data summit  the Complexities of Remote Data Protection Because data protection is a concern for organizations of all sizes, IBM offers remote data protection for the enterprise, as well. This high performance and easy-to-use service delivers consistent and cost-effective data protection without increased network investment. Source: IBM Resources Related to Addressing the Complexities of Remote Data Protection : Continuous Data Protection (CDP) (Wikipedia) Addressing the Complexities of Remote Data Read More...
Customer Data Integration: A Primer
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a

big data summit  Data Integration: A Primer Originally published - August 22, 2006 Introduction Implementing a customer data management system can be the difference between success and failure in terms of leveraging an organization's customer relationship management (CRM) system. Since customers drive profitability, organizations need a way to provide their employees with a single view of the customer and to provide that customer with above-average customer service. Unfortunately, this is not always the case. Read More...

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