WHITE PAPER:
This brief resource examines the true value of Apache Hive, a SQL engine for the Apache Hadoop framework. Inside, learn how Hive's facilities for data and metadata management are impacting the existing warehouse infrastructure and driving business success.
EGUIDE:
Consult this expert e-guide today to count down 12 common Hadoop myths and misconceptions, and gain the facts you need to drive big data success.
EBOOK:
In this E-Book, IT and data warehousing professionals and business executives involved in data warehouse purchases will get an overview of data warehouse appliance trends and practical advice on how to evaluate and choose the right appliances for their organizations.
EGUIDE:
This e-guide examines why the data warehousing appliance business case must trump traditional tools for business to address needs such as costs, flexibility and agility while eliminating key technology silos.
WHITE PAPER:
Read this white paper now and learn how Oracle Exadata Database Machine addresses the needs of today’s businesses with extreme performance for enterprise data warehousing, online transaction processing (OLTP) and mixed workloads.
CASE STUDY:
In this case study, discover how Hy-Vee, a growing grocery store chain, implemented a new data warehouse in order to give their employees faster access to customer purchasing data, and learn the benefits they currently experience from this technology.
PRODUCT OVERVIEW:
Find out how your organization can utilize one product that offers superior performance and economics without having to change your existing IT resources.
EGUIDE:
With an influx of big data flooding businesses everywhere, the data warehousing landscape is changing rapidly. To learn more about the latest trends and advances in the big data management and data warehousing market, as well as steps you should take before investing in new technologies, review this expert e-guide now.
WEBCAST:
View the following webcast to uncover what you need to know about big data 2.0. Uncover the 6 building blocks of big data 2.0 that drastically differentiate from big data 1.0. Also gain insights to the ways successful organizations are leveraging new analytics to capitalize on big data 2.0 and much more.
