ESSENTIAL GUIDE:
Companies that leverage data to optimise business processes will not only survive, but thrive during market downturns, and dominate the industry on the next upswing, this report from Quorum argues.
EZINE:
In this handbook, focused on database technology in the Asia-Pacific region, Computer Weekly looks at the impact of graph databases and the different types of database management systems currently on the market.
EGUIDE:
In the second part of our 'Future of Financial Services' e-guide series, read about how the financial services industry is not just being shaken up with cosmetic changes, but is about to go through the process of being stripped down and rebuilt.
EGUIDE:
In this expert e-guide, learn about the four main types of NoSQL DBMSes, their uses, the pros and cons of NoSQL, and DBMS use cases. Additionally, learn 6 other factors to consider when choosing a NoSQL DBMS option.
WHITE PAPER:
This whitepaper explains the importance of having a proper database management system in the age of Big Data. A good DBMS will prove accurate data to analytics and BI systems in real time.
ESSENTIAL GUIDE:
In this expert e-guide, explore how to simplify and achieve a number of tasks that go into managing Oracle E-Business Suite (EBS) and databases, including patch updates, improving security, and managing cost-based optimizer stats.
EGUIDE:
In this expert e-guide, 20-year industry veteran Brian Peasley explores the top 10 reasons for upgrading Oracle databases to 12c. Discover how DBAs can improve their management of Oracle systems and how Oracle Exadata Database Machine enables analytics, batch, reporting, and other tasks to run simultaneously across databases.
EGUIDE:
SAP has said that it considers its in-memory data analytics enabler HANA the centerpiece of its IT strategy going forward, and that it will eventually power all SAP applications. But how exactly does in-memory technology work, and how might it affect your IT operations? Read this expert e-guide to find out.
WHITE PAPER:
View this white paper to learn how IT decision makers can drive faster analytics over large data volumes in a data warehouse. It outlines how you can give end users the ability to have a more interactive analysis using online analytical processing (analysis.)
