Data and Information Management, Big Data, Data Science
WEBBuilding Modern Data Pipelines Using dbt—Tips and Tricks. Move to the Cloud, AI and Machine Learning, DevOps, and Data Governance: Four Trends that Defined 2023. Database Trends and Applications delivers news and analysis on big data, data science, analytics and the world of information management.
Oracle Introduces User Experience Enhancements to Elevate …
WEBAug 21, 2024 · To help organizations increase the efficiency of global supply chains, Oracle is introducing new user experience (UX) enhancements to Oracle Fusion Cloud Supply Chain & Manufacturing (SCM). Built with Oracle Redwood Design System, the UX updates help procurement professionals, logistics managers, field service technicians, and product managers increase productivity and accelerate supply chain ...
The Evolution of the Modern Database
WEBNov 13, 2013 · The number of databases continues to grow, but evolution tells us that not all may survive. Through the natural selection of most useful traits, intensifying the most crucial features, and implementing the best of both, databases will continue to flourish in new remarkable ways, helping organizations achieve specialized goals …
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 …
Big Data 50: Companies Driving Innovation in 2022
WEBSep 14, 2022. Data has only become more important as organizations look ahead to what a post-pandemic world could look like. Some of the new approaches being embraced to help drive greater benefit from data are DevOps and DataOps, data quality and governance initiatives, hybrid and multi-cloud architectures, IoT and edge computing, and a range ...
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, 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 ...
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 ...
What is Business Intelligence? - Database Trends and Applications
WEBJan 7, 2011 · Business Intelligence (BI) systems are used to improve an enterprise's decision making by combining tools for gathering, storing, accessing, and analyzing business data. While traditional features for querying, reporting, and analytics have long been the core focus of these tools, BI has evolved in recent years to become comprehensive, enterprise-wide platforms, and newer trends, such as self ...
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.
The Database Landscape 2021 - Database Trends and Applications
WEBDec 8, 2020 · The Database Landscape 2021. “It was the best of times, it was the worst of times.”. Charles Dickens’ famous introduction to A Tale of Two Cities referred to the disparities in human experience in London and Paris around the time of the French Revolution. But these words could just as well be applied to today’s IT landscape.
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