Data and Information Management, Big Data, Data Science
SQL Server Everywhere: Platform Choices Enrich Data-Driven Business. Data Quality Challenges and Strategies for the 2020s. The Data Sourcebook 2021: Navigating Digital Transformation in the Cloud. Database Trends and Applications delivers news and analysis on big data, data science, analytics and the world of information management.
The Top Information Management Trends for 2024
Jan 11, 2024 · The following are key trends shaping the data landscape of 2024 as identified by industry leaders: Artificial intelligence. Front and center to any discussion, of course, is the rapidly increasing use of AI. Expect to see more businesses seeking to “achieve competitive differentiation through AI and generative AI, powered by their data ...
The 5 Key Factors for Database Performance
Oct 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 commands directed through the system at any given time.
Data Warehouses, Data Marts, Operational Data Stores, and Data …
Sep 26, 2018 · Many organizations nowadays are struggling with finding the appropriate data stores for their data, making it important to understand the differences and similarities between data warehouses, data marts, ODSs, and data lakes. All these data structures clearly serve different purposes and user profiles, and it is necessary to be aware of their differences in order to make the right investment ...
The Importance of Referential Constraints for Data Integrity
Aug 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.
What is Data as a Service? The 3 Key Dimensions
Nov 4, 2016 · DaaS can overcome these business conditions from three dimensions: information-rich external data assets, connecting data silos, and enabling pre-built and packaged analytics. Looking at each element in more detail, DaaS helps organizations manage the following: 1. External data assets. External data assets provide an enterprise with additional ...
Common SQL Server Wait Types to Improve Database Performance
Aug 7, 2019 · OLEDB —This wait type indicates that a SPID has made a function call to an OLE DB provider and is waiting for the function to return the required data. This wait type may also indicate the SPID is waiting for remote procedure calls, linked server queries, BULK INSERT commands, or full-search queries. PAGEIOLATCH_* —Buffer latches, including ...
A data architecture is a data mesh if it: Supports a domain-oriented architecture, which is inspired by the concept of domain-oriented microservice architecture in engineering and which distributes ownership of data from one central team to domain-specific teams. Views data as a product and gives each domain-oriented team the accountability ...
Magic Quadrant for Master Data Management Solutions
The “December 2021 Gartner ® Magic Quadrant ™ for Master Data Management Solutions” marks the sixth time that Gartner has published this report—and it’s also the sixth time in a row that Informatica has been positioned furthest for Completeness of Vision and the fourth time in a row that Informatica has placed highest in Ability to ...
What Is a NewSQL Database System?
Jun 9, 2015 · Basically, NewSQL DBMSs are typified by relational, SQL database systems with distributed, fault-tolerant architectures. In-memory capability is an additional feature typical of NewSQL offerings, as are clustered database services with the ability to be deployed in the cloud. NewSQL DBMS products may have fewer features and components, with a ...