EGUIDE:
In this guide, we provide the 10 most important things you need to know about GDPR, and a jargon-buster explanation for some of the key terminology.
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:
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.
EGUIDE:
Redis is a lightweight, flexible, key-value store, open source database management system. In this expert e-guide, Craig S. Mullins provides an overview of Redis, this DBMS' key features, and its supported data structures. Additionally, learn areas where Redis excels.
WHITE PAPER:
Companies are rushing to invest in big data analytics tools, but many forget about the underlying infrastructure that supports their big data efforts. In this informative white paper, learn why the right database management system (DBMS) could be the key to a successful big data analytics project.
EGUIDE:
In this expert e-guide, we explore the use of the Azure Management Console, examine its capabilities, and explain how you can achieve even more advanced Azure usage. You'll find out which management tool works best for your business and get the information you need to make a strategic decision.
EGUIDE:
Less-than-optimal performance of database applications can have a huge negative impact on your business, but how can you be sure of what's good and what needs attention? In this e-guide, learn how to select the right DB performance management tools for your company. Then, discover 3 indicators that could signal DB performance issues.
EBOOK:
Big data containers running in Kubernetes clusters are a new option for deploying Hadoop, Spark and other platforms. Read this handbook for insights into the potential benefits of putting big data systems in containers and offers advice on how to manage containerized environments.
