Data and Information Management, Big Data, Data Science
How DBAs Can Help to Safeguard Against Data Breaches In today's data-focused world, modern organizations rely on data not only to conduct business but to plan their future. Data is the fuel for AI and machine learning techniques that drive forward-looking organizations.
Data Warehouses, Data Marts, Operational Data Stores, and Data …
2018年9月26日 · 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 5 Key Factors for Database Performance
2019年10月31日 · Truly, the speed and performance of your production database systems encompasses a wide range of parameters and decisions that are made well before implementation. DBAs need to understand the options available, the factors that impact performance and development with each DBMS option, and work to keep the IT organization up-to-speed and educated on all of the available choices.
The Top Information Management Trends For 2023
2023年1月12日 · Uncertain economic conditions, skills shortages, rising automation, increasing regulation, and digital disruption-all add up to a stew of both challenges and opportunities for data managers in the year ahead. Emerging technologies-and new attitudes-are reshaping the look and scope of the information management landscape, with implications for overall business strategies and individual careers ...
The Top Information Management Trends for 2024
2024年1月11日 · In the year ahead, data managers and their enterprises will be at a crossroads. Organizations will be leaning more heavily than ever on data-and the teams that manage it-for success with their customers, markets, and operations. The world of data is changing rapidly, and with it, its role in the business, from sitting on databases in the back end to competitive differentiation. Data is driving ...
The Importance of Referential Constraints for Data Integrity
2017年8月9日 · 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
2016年11月4日 · 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.
follow. In practice, doing so will look a little different for each company—and. that’s okay. The first step in establishing a domain-oriented architecture is to define
Magic Quadrant for Master Data Management Solutions
Magic Quadrant for Master Data Management Solutions. In today’s digital economy, you need the speed and flexibility of a SaaS solution to deliver trusted, connected, and contextual master data.
Common SQL Server Wait Types to Improve Database Performance
2019年8月7日 · 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 …