EGUIDE:
In this new Computer Weekly series of e-guides, learn more about essential IT concepts, their definitions, applications and benefits. To start, we get together everything you need to know about real-time analytics, its uses and its benefits.
WHITE PAPER:
This paper focuses on finding the value within big data and offers advice for delivering deeper insight to decision-makers and management. Also, discover how leading companies are benefiting from the recent emergence of MapReduce and real-time analytics.
EGUIDE:
If your SAP HANA journey has left you in the dark, these five implementation tips from experts featured in this guide will light your way. Also discover key considerations for S/4HANA Sourcing and Procurement.
EBOOK:
IT monitoring tools deliver plenty of data, but sometimes, the volume can be a problem. It's a challenge to know how closely to monitor infrastructure and applications, especially when some tools monitor apps in real time.
EGUIDE:
In this e-guide, discover necessary components of operational BI for smart business implementation. Continue reading to gain insight into the evolution of BI, along with current roadblocks to success.
EGUIDE:
Complex event processing (CEP) and business activity monitoring (BAM) are popular tools for managing information that moves faster -- and in higher volumes -- than ever before.
CASE STUDY:
Headquartered in Stockholm, Sweden, Scandinavian Airlines (SAS) is the largest airline in Scandinavia. SAS need to provide better business intelligence reporting and improved adhoc analysis capabilities by providing real time data access while reducing costs.
EBOOK:
This e-book offers IT, business intelligence (BI) and analytics managers tips on building a business case for real-time analytics and also for avoiding potential pitfalls that can trip you up during the implementation stage.
WHITE PAPER:
This paper examines the increased business challenges in structured finance, the impact on the underlying enabling technologies, and describes how the use of Vertica’s column store, massively parallel processing (MPP) approach to database management and analytic processing can address some of these challenges.
