WHITE PAPER:
This resource explores the limitations and challenges of existing data warehousing tools, and introduces a data warehouse strategy that can help you accelerate analytics and drive business success.
EGUIDE:
A centralized computing strategy can keep your organization from realizing the value of big data. In this expert e-guide, learn how embracing a more distributed architecture can solve traditional scalability problems and lead to big data success. Also inside, discover the value of NoSQL options.
EBOOK:
Overcome the four biggest challenges of moving mainframe data to Hadoop: data integration, skills and expertise, security, and escalating costs.
WHITE PAPER:
This brief resource examines the business impact of big data, and explores how a next-generation analytics platform helps reduce costs and fuel smarter decision-making.
WEBCAST:
Access this live webcast on January 30, 2014 at 12:00 PM EST (17:00 GMT) to learn how you can use big data tools and technologies to extend security intelligence – allowing you to protect massive data volumes and uncover hidden threats.
Posted: 15 Jan 2014 | Premiered: Jan 30, 2014, 12:00 EST (17:00 GMT)
EGUIDE:
Access this e-guide today to find expert strategies for streamlining and mining big data. Inside, uncover major big data trends, and learn whether Agile software development and big data are a good match.
WHITE PAPER:
This resource examines the value of metadata in business intelligence, and introduces a metadata modeling tool for managing access to all existing data sources and ensuring data trustworthiness.
WEBCAST:
This brief on-demand video introduces an analytics platform designed for today's big data 2.0 world that delivers the key capabilities you need in order to leverage all of your available data.
PRESENTATION TRANSCRIPT:
According to expert analysts, 80% of data is unstructured and without the right platform, this data is essentially unusable to businesses. Read this transcript to discover how the right architecture and strategy can enable you to unlock the true value of big data.