EBOOK:
Whether or not you already have a set of ETL and Data Integration tools, this checklist will help you assess high-performance ETL solutions for data integration that stands up to today's challenges.
EGUIDE:
In this expert e-guide, you'll discover 10 best practices for implementing a fast new BI platform or improving your existing one. Then, learn the story of how Urban Airship Inc. developed an embedded analytics program of their own.
CASE STUDY:
In this paper, a business intelligence provider for the semiconductor industry eliminated SAN from its Oracle data warehouse to increase their average performance 5 to 10 fold.
EGUIDE:
Access this expert e-guide to get real-world strategies and advice on how best to manage your big data warehousing and processing, and common pitfalls to avoid.
VIDEO:
This video gives insight into one vendor that specializes in maintaining existing infrastructures while complimenting it with Hadoop. This allows customers to bring in new technology without having to worry about lapses in data protection.
EBOOK:
To improve customer experience, companies need to tune into the different platforms consumers use, unify data silos, integrate information systems and plan thoughtful strategies for engaging customers. Discover how to plug the holes in your business' customer experience strategy.
WHITE PAPER:
The following white paper explores the current state of cloud within the business environment with particular attention to cloud 2.0. Learn what's new with cloud 2.0, what factors are driving this shift, and most importantly, uncover which best practices will ensure success in a cloud 2.0 world.
EGUIDE:
In this e-guide, experts explain various features and benefits of AWS such as on-demand, reserved and spot instances and which one will fit your needs. Inside, learn why Amazon's new Redshift data warehouse is creating a biz buzz among IT pros.
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.
