Database technologies have evolved over decades, from relational databases to NoSQL databases that make it easier to store & handle data in the cloud. In this e-guide, how organisations are addressing database management challenges & how Alibaba is using cloud-native databases to reduce downtime in its annual Singles' Day sales.
This white paper explains how the IBM Optim Data Growth Solution provides proven technology and comprehensive capabilities that make archiving complex relational data both practical and desirable.
This white paper discusses the growth and challenges of real-time data management and how Oracle TimesTen data management software can help exploit the full performance potential of today's networked, memory-rich computing platforms.
With support for IBM DB2 for z/OS Version 8 retiring in April 2012, customers will have the option to skip a level and upgrade straight to DB2 10. This e-book is designed to help customers decide whether they are a good candidate to make this leap and provides best practices for planning an effective migration strategy.
Learn how Pink OTC Market Inc., the third largest U.S. equity trading marketing place, built a highly available and reliable (no downtime in a year of production use) data warehouse using Vertica's Analytic DBMS that cost-effectively stores billions of records and scales easily by simply adding CPUs without incurring additional licensing fees.
"Database management" may sound like one responsibility to the uninitiated, but those who are more familiar know it's just an umbrella term. Read on to explore six duties that are the building blocks of effective SQL Server administration.
NoetixViews transforms the complexity of the Oracle E-Business Suite database into recognizable business views of data that are used to create operational reports and ad hoc queries. NoetixViews enables faster, easier and more cost-effective access to information stored in the Oracle E-Business Suite data structure. Read this paper to learn more.
Column-based databases can be slow deleting and updating data. Vertica’s Analytic Database is designed specifically for storing and querying large datasets. Vertica’s differentiator is that it combines a columnar database engine with MPP and shared-nothing architecture, aggressive data-compression rates, and high availability.
Big data is complex term to define and it often presents obstacles for businesses. Consult this resource to learn more about how you should look at big data from a business perspective. Find out how big data has changed the way that the business intelligence (BI) landscape operates.
Amidst the wealth of literature aimed at enterprises hoping to leverage Software as a Service (SaaS) applications it can be difficult for independent software vendors (ISVs) to find useful information and best practices to ease their transition to cloud delivery. Read this in-depth presentation transcript to find out what ISVs need to know.