PRODUCT OVERVIEW:
Combining Informatica’s world-class data integration platform with Cisco® Tidal Enterprise Scheduler helps organizations gain a competitive advantage in today’s global information economy by providing relevant and trustworthy information to support their business decisions. Continue reading to learn more.
PRESENTATION TRANSCRIPT:
This presentation transcript discusses the most common BI and ETL process management pain points experienced by BI operations staff as well as strategies for addressing them. Learn how to face process issues, design processes that are efficient and resistant to common problems, and learn real-life examples of successful implementations.
WHITE PAPER:
This White Paper explores how traditional approaches fall short, what the automated solution and its benefits look like, how the on-demand delivery model best represents the integrated stack necessary for automation, and how the automated, on-demand model brings the benefits of BI to a far broader audience than ever before.
EBOOK:
This e-book, penned by business intelligence expert Wayne Eckerson, will explain how big data -- the combination of Hadoop and analytical databases -- is transforming the business intelligence industry.
EGUIDE:
This expert e-guide explores the need for new thinking around data integration in a big data world, and highlights key tools that can deliver the value you're looking for.
WHITE PAPER:
This paper examines five frequently encountered BI and ETL process management painpoints, which can affect the accuracy and timeliness of vital enterprise data delivery, and how each of these painpoints can be successfully managed using process automation technology.
WHITE PAPER:
In this white paper, Philip Howard reviews the current market for data integration platforms, paying particular attention to open source offerings from Talend.
EGUIDE:
With pressure on IT budgets, interest in open source data integration technology is growing yet implementations of open source data integration tools are rare compared with commercial deployments. Read this e-guide and learn to address such limitations and make open source data integration an attractive, lower-cost option for your organization.
