Database management
As the volume of business data has grown, database management has become vital to data optimization and security. Database management are processes that ensure proper application performance, avoid compliance risk and protect valuable business data. Read database management strategies to make sure data is controlled throughout its lifecycle, from creation to deletion.
Top Stories
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13 Mar 2025
When to use Amazon RDS vs. Redshift
Amazon RDS and Redshift are effective data warehousing services, but there are key differences that separate the two. Let's compare Amazon RDS vs. Redshift to find their use cases. Continue Reading
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12 Mar 2025
Vast Data targets secure, speedy agentic AI development
The vendor is furthering its expansion into AI development with features such as vector search and event streaming aimed at enabling users to build and maintain agents. Continue Reading
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14 Aug 2015
Types of NoSQL databases and key criteria for choosing them
In a book excerpt, consultant Dan Sullivan offers insights into how to select the right type of NoSQL database for the right application in your organization. Continue Reading
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07 Aug 2015
SAP HANA in-memory DBMS overview
SAP HANA is an in-memory DBMS and application platform designed to handle high transaction rates and complex queries using one data copy. Continue Reading
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31 Jul 2015
Redis open source DBMS overview
The Redis open source DBMS provides a highly scalable data store that can be shared by multiple processes, applications or servers. Continue Reading
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27 Jul 2015
MySQL open source RDBMS overview
Developers, database administrators and DevOps teams use MySQL open source RDBMS to more easily operate next-generation applications in the cloud. Continue Reading
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11 Jun 2015
Which in-memory DBMS best fits your company's needs?
Database expert Craig S. Mullins examines some top in-memory DBMS software offerings to help you determine which is the best fit for your organization. Continue Reading
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04 Jun 2015
Oracle Database 12c relational database management system overview
Oracle Database 12c delivers strong performance for mission-critical workloads, with features and functionality for diverse processing needs and requirements. Continue Reading
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30 Apr 2015
Which relational DBMS is best for your company?
Database expert Craig S. Mullins examines the top relational database management system software to determine which best fits your organization. Continue Reading
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17 Apr 2015
How to determine if an in-memory DBMS is right for your company
Database expert Craig S. Mullins examines the pros and cons of the in-memory database management system, and the criteria you should consider during the request-for-proposal and evaluation period. Continue Reading
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27 Mar 2015
Key considerations for determining if a NoSQL DBMS meets your IT needs
NoSQL represents the fastest-growing type of DBMS being adopted today. Is it right for you? Continue Reading
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24 Feb 2015
Key criteria for deciding if a relational DBMS meets your IT needs
For many organizations, a relational database management system will get the job done; others need to keep looking to fulfill their needs. Continue Reading
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22 May 2014
Former shadow IT worker helps bring analytics data into the light
Ryan Fenner worked in a shadow IT unit at Union Bank for years. Now he's helping lead an IT effort to better manage BI data created in those shadows. Continue Reading
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13 Apr 2011
From the Editors: Database consolidation and standardization 101
If you’re thinking about embarking on a database consolidation or standardization project, make sure you know the technical, cultural and skill-set issues that can arise. Continue Reading
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26 Nov 2010
Creating a database strategy that can adapt to changing business needs
Crafting a successful database strategy requires technology flexibility, the right skill sets and a strong focus on application requirements, according to IT pros and analysts. Continue Reading
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10 Nov 2010
Emerging database technologies hit DBMS mainstream, add to choices
Emerging database technologies such as column-based database software, NoSQL databases and Database as a Service (DaaS) platforms are starting to make a splash in the IT market. Continue Reading
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24 Mar 2010
What are aggregate tables and aggregate fact tables?
Here you'll see examples and read definitions of aggregate tables and aggregate fact tables. You'll also learn how to use aggregate tables in data warehouses and databases. Continue Reading
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24 Mar 2010
Data warehouse concepts: Data flow and sending data to source systems
Learn about a data warehouse concept: data flow. And find out if it's a good idea to flow data from your data warehouse or data marts back to source systems. Continue Reading
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07 Oct 2009
What is the difference between a logical and physical warehouse design?
What's the difference between logical design and physical design? Get an expert's take, plus learn about three data warehouse models -- the user model, physical model and logical model -- and how they differ. Continue Reading
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27 Jul 2009
Executing SQL statements using prepared statements and statement pooling
In this database tutorial, find out about executing SQL statements using prepared statements and statement pooling. Learn what a statement pool is and how to retrieve long data types efficiently. Continue Reading
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27 Jul 2009
Static SQL vs. dynamic SQL for database application performance
Learn the difference between static SQL vs. dynamic SQL and the benefits and drawbacks of each for database application performance. Get a definition of stored procedure, find out about database drivers and wire protocol database drivers and how the network affects database performance. Continue Reading
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24 Jun 2009
How to select an MPP database: DB2 vs. Teradata
Should you run a massively parallel processing (MPP) database with DB2 or Teradata? Find out how to compare DB2 vs. Teradata and how to choose a database system and with advice from a data warehouse expert. Continue Reading
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10 Jun 2009
Advantages of the multidimensional database model and cube modeling
Discover the advantages of the multidimensional database model and find out how data warehouse cube modeling, data restricting and data slicing work. Learn the role meta-data plays and get a definition of functional dependency. Continue Reading
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10 Jun 2009
Data warehouse architectures, concepts and phases: What you need to know
This tutorial explains the different types of data warehouse architecture including bus, federated and hub-and-spoke. Learn about ETL processes and data staging and data warehouse phases. Continue Reading
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14 Apr 2009
Defining dimensional vs. normalized database design, dimension vs. fact tables
Find out if your existing database is in dimensional style or normalized database design style, learn the benefits and drawbacks of fact-dimension and normalized database schemas and read a comparison of dimension tables vs. fact tables. Continue Reading
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23 Sep 2008
Definition of data abstraction and data abstraction layers
Data abstraction simplifies database design. Learn the definition of data abstraction and find out the three formal kinds of abstraction layers, from a database expert. Continue Reading
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17 Apr 2008
Can a dimension table be a fact table for another data mart?
Find out if a dimension table can be a fact table for another data mart -- and get an explanation of the answer. Continue Reading
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21 Nov 2005
Types of DBAs
DBAs can take on many different roles. This excerpt from the "Database administration: The complete guide to practices and procedures" takes a closer look at different types of DBAs. Continue Reading
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19 May 2005
What is the difference between DB2 UDB and DB2 OS/390?
Database expert Craig Mullins explains the differences between DB2 UDB and DB2 OS/390. He begins by clarifying that the two are comprised of completely different code bases. Continue Reading
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