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Advanced analytics, in-memory technology push information limits
The information explosion is in need of a cleanup crew, and this one comes equipped with advanced analytics and in-memory technology to pick up the slivers, piece them together and glean business insight. In this issue of Business Information, learn ... E-Zine
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How to manage the risk of the human factor in database administration
Fail to manage the risk of the human factor in database administration and you court disaster. DBAs, like air traffic controllers: work in pairs? Tip
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Effective 'big data' strategy helps advertising firm attract clients
Online advertising company adMarketplace uses a mix of NoSQL and SQL databases in a "big data" environment that feeds its search syndication system. Case study
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'Big data' applications bring new database choices, challenges
The dormitory world of databases has been roused from slumber by “big data” and associated technologies: MapReduce, Hadoop, MPP, NoSQL. Andy Hayler details big data’s impact and the issues it raises. Column
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Standardizing transactional database systems boosts BI, lowers costs
Consultant and professor Mark Whitehorn argues the case for database standardization, saying it can aid business intelligence efforts and reduce database maintenance and licensing expenses. Opinion
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Using the genetic programming approach to entity resolution
guide
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Entity resolution trends: Identity resolution in information hubs
guide
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Dealing with association analysis, unstructured data in ER processes
guide
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Developing high-quality data models
guide
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Test time: What do you know about 'big data' technologies?
Take this short quiz to test your understanding of ‘big data’ technologies, use cases and management issues – plus get recommendations for additional reading on big-data topics. Quiz
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How decision support systems (DSS) can help business decision-making
Learn how decision support systems (DSS) can help the business decision-making process. Find out why decision support is needed and what IT skills business managers need for DSS. Book excerpt
- See more Essential Knowledge on Database management system (DBMS) architecture, design and strategy
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Marketing company uses in-database analytics to fight customer churn
Trident Marketing is running analytical models on a data warehouse appliance to help keep consumers hooked on satellite TV service and other products. User story | 25 Apr 2013
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Data consolidation keeps commerce flowing at French Waterways
An MDM and data consolidation effort brought previously siloed databases together to better support boating operations on France's rivers and canals. User story | 08 Apr 2013
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Richer data management technology palette adds more color to IT mix
All the big data buzz belies a potent trend that sees lower-cost hardware and massive Web applications driving more diversity in database engines. Talking Data | 04 Apr 2013
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Cornell Cern project plumps for NoSQL DBMS
Physicists in the Compact Muon Solenoid (CMS) detector at the Large Hadron Collider at Cern are benefitting from a MongoDB NoSQL database management system that gives them unified access to data from a range of databases. Case study | 16 Oct 2012
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Oracle Exadata flaws include unpredictability, lack of documentation
Most Oracle consultants who have played with Exadata have been thoroughly impressed. But users beware: There are some flaws. News | 15 Aug 2012
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AppDynamics picks ScaleBase for database sharding over Clusterix
Find out why application performance management company AppDynamics chose ScaleBase over the “Rolls Royce” of sharding technologies. Case Study | 29 May 2012
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In-memory database caching helps AltEgo bring online avatars to life
In-memory database caching technology is helping gamers take charge of their online identities. News | 09 May 2012
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IBM adds Vivisimo to its 'big data' management arsenal
IBM announced plans to acquire data discovery vendor Vivisimo amid a busy week of "big data" news from around the Web. News | 26 Apr 2012
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Data warehouse lives on: Big data best practices include ties to EDWs
As "big data" systems steal into organizations, the enterprise data warehouse is often depicted as a dinosaur. But it may not be doomed to extinction. News | 19 Mar 2012
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Expedia snubs hosted tools in bid to manage machine-generated data
Find out how “the world’s biggest travel site” is gaining valuable insights from staggering amounts of log files and other machine-generated data. Case Study | 08 Mar 2012
- See more News on Database management system (DBMS) architecture, design and strategy
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XQuery and XML data: DB2 helps manage the era of unstructured data
The arrival of IBM XQuery and XML data is simplifying users' decisions in this era of unstructured data, just as the arrival of the relational database and SQL simplified IT buyers' decisions twenty years ago. Tip
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SQL Server freebie: TOAD for SQL Server
When you use SQL Server's built-in tools for database development, you may find that each has its imperfections. Contributor Serdar Yegulalp spotlights a 90-day free SQL Server tool that can act as your development environment, object explorer, depen... Tip
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Saving lives with Oracle
Thanks to rapidly falling disk costs, companies can now afford to store trillions of bytes of valuable information. However, data professionals know that the real challenge is making sense from these huge data stores and mining them for statisticall... Tip
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Hacker's-eye view of SQL Server
Hackers can devastate your SQL Server workflow and cripple your company's business. Contributor Hilary Cotter outlines the four primary methods used to hack into SQL Server and offers defenses to prevent security breach. Tip
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Worst practices for SQL Server backup and recovery
In the event of a SQL Server failure, wouldn't it feel good knowing you have a well-tested and reliable backup and restore process to protect your data? The success of your efforts depends more on seemingly small oversights or mistakes you make than ... Tip
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MetaBase scripting for the Oracle data warehousing DBA
The OMB scripting language is a extension of TCL and is an attractive alternative to the do-it-yourself approach to ETL management for the Oracle data warehousing DBA. Tip
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SQL Server and business intelligence: Plan ahead
Here are some key planning concepts to keep in mind whenever you use SQL Server as a solution to a particular business problem. Tip
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A simple way to reorganize a table and release the unused space
A simple way to reorganize a table and release the unused space is by using the following simple command. Tip
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When managing database environments, integration is key
When managing complex database environments, IT vendors and buyers agree on the three top priorities. Tip
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The state of enterprise information management technology use in 2011
Get expert insight on whether there likely will be any strategic shifts during 2011 in how companies use enterprise information management technology. Answer
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Common enterprise information management strategy mistakes to avoid
Learn about four common mistakes that companies make when creating an enterprise information management strategy and starting an EIM program. Answer
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Emerging database technologies: How Hadoop and MapReduce compare
Hadoop and MapReduce are two emerging database technologies. Find out how Hadoop and MapReduce compare and relate to each other. Answer
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The benefits and drawbacks of analytical databases
Find out what the benefits and drawbacks of analytical databases are. See how an analytic database compares to an OLTP database and what each is best suited for. Answer
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How enterprise information management (EIM) differs from ECM
Learn how enterprise information management (EIM) differs from enterprise content management (ECM) and unstructured data management as a data management technology category. Answer
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Key components of enterprise information management programs
Learn which three components of enterprise information management programs are most important for a successful EIM strategy. Answer
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What is the difference between data definition language (DDL) and SQL?
Learn the difference between a data definition language (DDL), also known as data descriptive language, and the Structured Query Language (SQL). Find examples of both DDL and SQL. Answer
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Overview of RDBMS security concepts in client/server architectures
Find an overview of RDBMS security concepts in client/server architectures. Learn about the security role of a database engine and why a relational DBMS should control data access. Answer
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How database performance tuning and data migration affect databases
Find out how database performance tuning and data migration to a new database engine affect database performance. Learn about indexing columns and partitioning tables. Answer
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When to use a DBMS and the future of data warehousing data management
Find out when you should use a DBMS with your data warehouse, and learn about the future of data warehousing data management and current state of data warehouse architecture. Answer
- See more Expert Advice on Database management system (DBMS) architecture, design and strategy
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Amazon Dynamo Database (DDB)
Amazon Dynamo Database (DDB) is a fully-managed NoSQL database service. Dynamo Database is known for extremely low latencies and scalability. Definition
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in-memory database
An in-memory database is a type of analytic database designed to streamline the work involved in processing queries. Definition
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Cassandra (Apache Cassandra)
Apache Cassandra is an open source distributed database system for storing and managing large amounts of data across commodity servers without a single point of failure (SPoF). Cassandra, which can handle hundreds of thousands of requests per second... Definition
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virtual cube
A virtual cube is a subset of one or two existing cubes in a database. Database administrators create virtual cubes for security purposes and/or to enable analysis of the shared data. Definition
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sparsity and density
Sparsity and density are terms used to describe the percentage of cells in a database table that are not populated and populated, respectively. The sum of the sparsity and density should equal 100%. Definition
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NoSQL (Not Only SQL)
NoSQL database, also called Not Only SQL, is an approach to data management and database design that's useful for very large sets of distributed data. Definition
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denormalization
In a relational database, denormalization is an approach to optimizing performance in which the administrator selectively adds back specific instances of duplicate data after the data structure has been normalized. Definition
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columnar database
A columnar database is a database management system (DBMS) that stores data in columns instead of rows. Definition
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OLAP (online analytical processing)
OLAP (online analytical processing) enables a user to easily and selectively extract and view data from different points-of-view. Definition
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data classification
Data classification is the categorization of data for its most effective and efficient use... Definition
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Top six data management software stories of 2011
From the rise of "big data" to office politics hampering MDM projects to Hewlett-Packard giving Neoview the ax, and more, there were plenty of notable data management stories in 2011. Photo Story
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Why you should keep your 'big data' technology small -- for now
In a video interview at the Strata Conference 2011, Forrester Research analyst James Kobielus explains why it’s important for companies with big-data installations to optimize their storage systems. Video
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Data warehouse architecture: Beyond hub-and-spoke
Hear a hub-and-spoke definition and learn about challenges surrounding hub-and-spoke architecture. Know all the issues and details before implementing a hub-and-spoke design and hear how data governance plays a role in the hub-and-spoke model. Podcast
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Amazon Dynamo Database (DDB)
Amazon Dynamo Database (DDB) is a fully-managed NoSQL database service. Dynamo Database is known for extremely low latencies and scalability. Definition
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Marketing company uses in-database analytics to fight customer churn
Trident Marketing is running analytical models on a data warehouse appliance to help keep consumers hooked on satellite TV service and other products. User story
-
Advanced analytics, in-memory technology push information limits
The information explosion is in need of a cleanup crew, and this one comes equipped with advanced analytics and in-memory technology to pick up the slivers, piece them together and glean business insight. In this issue of Business Information, learn ... E-Zine
-
Data consolidation keeps commerce flowing at French Waterways
An MDM and data consolidation effort brought previously siloed databases together to better support boating operations on France's rivers and canals. User story
-
Richer data management technology palette adds more color to IT mix
All the big data buzz belies a potent trend that sees lower-cost hardware and massive Web applications driving more diversity in database engines. Talking Data
-
How to manage the risk of the human factor in database administration
Fail to manage the risk of the human factor in database administration and you court disaster. DBAs, like air traffic controllers: work in pairs? Tip
-
Effective 'big data' strategy helps advertising firm attract clients
Online advertising company adMarketplace uses a mix of NoSQL and SQL databases in a "big data" environment that feeds its search syndication system. Case study
-
Cornell Cern project plumps for NoSQL DBMS
Physicists in the Compact Muon Solenoid (CMS) detector at the Large Hadron Collider at Cern are benefitting from a MongoDB NoSQL database management system that gives them unified access to data from a range of databases. Case study
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Oracle Exadata flaws include unpredictability, lack of documentation
Most Oracle consultants who have played with Exadata have been thoroughly impressed. But users beware: There are some flaws. News
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in-memory database
An in-memory database is a type of analytic database designed to streamline the work involved in processing queries. Definition
- See more All on Database management system (DBMS) architecture, design and strategy
About Database management system (DBMS) architecture, design and strategy
If you’re deploying or updating database management systems and DBMS software, you need to be current on the latest trends and issues involving database architecture, design and strategy. In this section, you’ll find news and other information resources on creating a DBMS architecture and developing a database strategy for your organization. Also, get tips and expert advice on database design and development and managing a database implementation project. Stay up to date on database design tools and DBMS design methodologies, and read DBMS tutorials and guides on DBMS concepts and database best practices.
Data Management Strategies for the CIO