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Core PLM for Process Industries
The foundation of product lifecycle management (PLM) for the process (or recipe-based) manufacturing industries is product data management (PDM). It covers design and product-related aspects of PLM...
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Documents related to » state data protection


The Path to Healthy Data Governance through Data Security
Companies today are challenged to maintain their data safe and secure from hackers and others with unauthorized access. In his article, TEC business

state data protection  under applicable federal and state laws governing data privacy. INPUT id=Check1 type=checkbox>Fully Support INPUT id=Check1 type=checkbox>Somewhat Support INPUT id=Check1 type=checkbox>Do Not Support Information Access and Privacy Define your organization’s level of support for the following? Established policies and procedures in place to restrict and monitor staff data access, limiting what type of data can be accessed by whom. This includes different levels of access based on roles and groups. INPUT Read More...
Case Study: Peerless Pump
Peerless Pump has been designing, engineering, and manufacturing pumps for more than 80 years. The company was basing component stock levels on historical data,

state data protection  Chicago and the Empire State Building in New York City. In addition to fire protection, its pumps serve many other industries including agriculture, process manufacturing, and the massive pumps that transport safe drinking water to our cities, to name a few. By increasing forecast accuracy through the use of Demand Solutions, the company has nearly doubled its sales over the past four years while keeping inventory levels constant – allowing Peerless to pump up its profits. Peerless Pump manufactures Read More...
How to Protect Your SQL Server Database
SQL Server deployments can be large and complex. However, Auto-Snapshot Manager simplifies data management tasks and offers a comprehensive approach to SQL

state data protection  point of the corrupted state of the database to enable more detailed analysis of the cause of the corruption. REMOTE REPLICATION AND FAILOVER Data replication is becoming a more common practice to respond to network failures, power outages, and complete site failures caused by natural or human-created disasters. PS Series arrays include remote site replication as a built- in feature. Regardless of distance or network bandwidth, remote replication sites can be setup to maintain off-site copies of SQL Read More...
The Seven Types of Power Problems
Many of the mysteries of equipment failure, downtime, software, and data corruption are the result of a problematic power supply. Compounding the problem is

state data protection  rise time from steady state to the peak of the impulse) of short-term duration (less than 50 ns). Note: [1000 ns = 1 µs] [1000 µs = 1 ms] [1000 ms = 1 second] The impulsive transient is what most people are referring to when they say they have experienced a surge or a spike. Many different terms, such as bump, glitch, power surge, and spike have been used to describe impulsive transients. Causes of impulsive transients include lightning, poor grounding, the switching of inductive loads, utility fault Read More...
Building a Business Case for Enterprise Spyware Protection
It is sometimes difficult to quantify the scope of spyware problems within corporate environments. The least noticeable effect of spyware is to slow network and

state data protection  drive to a healthy state or (worst case) entirely rebuilding the machine – non-productive labor hour cost plus lost transaction cost IT labor hours to perform workstation system repair removing the application, which can require delicate manual extraction of code so as to avoid damage to necessary functions Employee training hours in tactics for avoiding unwanted applications and identifying clues to its existence in their workstations'' performance Workstation slowdown – cost of transactions not Read More...
Informatica PowerCenter 5 Enables Enterprise Data Integration
Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data

state data protection  data warehouses. The vendor states that the Informatica PowerCenter 5 suite is designed to be a high-performance, scalable platform employed to meet the most demanding requirements of global companies and rapidly growing e-Businesses . Large-scale enterprise and e-Business customers face unique challenges: more data in more complex environments with less time to get it right, said Gaurav Dhillon, CEO of Informatica. Informatica provides analytic software to help companies better understand their Read More...
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

state data protection  PCI DSS Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. Read More...
The Value of Big Data
As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity

state data protection  Value of Big Data As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value. Read More...
Microsoft Goes Their Own Way with Data Warehousing Alliance 2000
Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data

state data protection  Goes Their Own Way with Data Warehousing Alliance 2000 Event Summary REDMOND, Wash., Nov. 30 /PRNewswire/ -- Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 top vendors throughout the industry have qualified for Microsoft Data Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture for building business intelligence and analytical Read More...
A Solution to Data Capture and Data Processing Challenges
Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the

state data protection  Solution to Data Capture and Data Processing Challenges Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the right information to the right people at the right time—but is your data capture process as efficient as it could be? Learn about the issues surrounding data capture and data processing, and about a solution designed to help you address specific processing problems. Read More...
The Teradata Database and the Intelligent Expansion of the Data Warehouse
In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role

state data protection  Teradata Database and the Intelligent Expansion of the Data Warehouse In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role that Teradata has maintained until now. Teradata mixes rigorous business and technical discipline with well-thought-out innovation in order to enable organizations to expand their analytical platforms and evolve their data initiatives. In this report TEC Senior BI analyst Jorge Read More...
Data Quality Strategy: A Step-by-Step Approach
To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how

state data protection  Quality Strategy: A Step-by-Step Approach To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More...
Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data

state data protection  encode information, such as state names and order codes, are not strictly master data tables. The dividing line between master data and reference data is not always clear-cut. One solution is to break master data into two types: master reference data and master business entity data. Master reference data has well-defined and simple data structures, has simple keys and governance rules, is often standardized (U.S. state codes, for example), involves only a few applications, and is reasonably stable. Read More...
Tailoring SAP Data Management for Companies of All Sizes
The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are

state data protection  SAP Data Management for Companies of All Sizes The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today''s environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management. Read More...

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