Data and Information Management, Big Data, Data Science
WEBDatabase Trends and Applications delivers news and analysis on big data, data science, analytics and the world of information management.
The Importance of Referential Constraints for Data Integrity
WEBAug 9, 2017 · Referential integrity (RI) is a method for ensuring the 'correctness' of data within a DBMS. People tend to oversimplify RI, stating that it is merely the identification of relationships between relational tables. It is actually much more than this. RI embodies the integrity and usability of a relationship by establishing rules that govern that relationship.
MV Community - Database Trends and Applications
WEBSep 12, 2024 · Information and articles for the MultiValue/Pick Community. Find out all you need to know about MultiValue databases from Database Trends and Applications magazine.
Common SQL Server Wait Types to Improve Database Performance
WEBAug 7, 2019 · Here is a list of common wait types and techniques that every DBA (or wannabe DBA) should know. While there are many more wait types than listed here, understanding these will give you a leg up when it comes to optimizing and tuning your SQL Server database performance.
Oracle’s Data Management Strategy - Database Trends and …
WEBJul 7, 2021 · Oracle’s Data Management Strategy. Oracle has a history of delivering the data management solutions of choice for managing customers’ operational and analytical workloads on-prem and in the cloud. Oracle’s strategy is to continue delivering unique and innovative products and services to meet and exceed customers’ requirements.
Data Warehouses, Data Marts, Operational Data Stores, and Data …
WEBSep 26, 2018 · Many organizations nowadays are struggling with finding the appropriate data stores for their data. Let’s zoom in on some key data structures to facilitate corporate decision making by means of business intelligence. More specifically, let’s look at data warehouses, data marts, operational data stores, data lakes, and their differences and similarities. A data warehouse was first formally ...
What is Data as a Service? The 3 Key Dimensions
WEBNov 4, 2016 · Data as a service (DaaS) is a business-centric service that transforms raw data into meaningful and reusable data assets, and delivers these data assets on-demand via a standard connectivity protocol in a pre-determined, configurable format and frequency for internal and external consumption.
What is Data Analysis and Data Mining?
WEBJan 7, 2011 · The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, a repository of data gathered from various sources, including corporate databases, summarized information from internal systems, and data from external sources. Analysis of the data includes ...
The 5 Key Factors for Database Performance
WEBOct 31, 2019 · Five factors influence database performance: workload, throughput, resources, optimization, and contention. The workload that is requested of the DBMS defines the demand. It is a combination of online transactions, batch jobs, ad hoc queries, data warehousing analysis, utilities, and system …
Development DBAs Versus Production DBAs - Database Trends …
WEBJul 27, 2020 · The development DBA focuses on tasks related to building an effective, usable database environment to support business applications. As programs and systems are being built, the development DBA is there to lend assistance and support—which includes building and maintaining the proper database structures required by applications.