EGUIDE:
This E-Guide examines key big data challenges and offers real-world strategies and advice for dealing with big data. In addition, examine typical pitfalls you may encounter during the data warehousing process.
WHITE PAPER:
Data warehousing can be an expensive, complicated bag of hardware, software and support. However, adopting a data warehouse appliance will benefit your business today and in the future. In this new white paper, learn about their evolution, pros and cons and if this technology is the right fit for your business. Read it today.
WHITE PAPER:
According to recent estimates, enterprise digital content will double in growth every year for the next 10 years. Access this exclusive resource to discover the key elements to designing and implementing a customized and integrated cloud storage solution.
EBOOK:
In this expert handbook, explore the current state of cloud BI and analytics adoption and examine how companies like Lenovo are migrating big data and predictive analytics to the AWS cloud.
WHITE PAPER:
A recent IOUG survey discovered that while most organizations have a well-established data warehouse, acceptance within their companies is still limited. Inside this exclusive study, learn how companies can start taking more advantage of their data warehousing systems to successfully manage the growing amounts of “big data".
EGUIDE:
In this E-Guide, readers will learn the challenges big data poses for traditional analytics approaches, and best practices for success with this still emerging discipline.
WHITE PAPER:
Data warehouse appliances have transformed the DW with a platform designed to deliver optimal price and performance with extreme simplicity. This paper outlines the IBM Netezza data warehouse appliance and how it offers extreme time to value, agility and ability to grow with new workloads, cost reduction of ongoing maintenance and more.
WHITE PAPER:
You need to be able to store and analyze data as quickly as it's pouring into your business -- and that's pretty fast. Unfortunately, traditional data warehousing technologies aren't often up to the task. View this informative resource to get an in-depth look at three must-have capabilities for effective modern data warehouses.
PRESENTATION TRANSCRIPT:
Today's data warehouse architectures can be highly-complex, expensive to maintain and overburdened by the increasing demand for advanced analytical workloads. Review this presentation transcript to learn the importance of deploying database technology that can handle mixed, shifting, and high-concurrency workloads, and more.
