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:
The survival of a business is directly related to how quickly they can make strategic decisions. This white paper explores an analytics accelerator that expedites complex queries, allowing you to respond quickly to changing conditions.
WHITE PAPER:
IBM commissioned Forrester Consulting to examine the total economic impact and potential ROI enterprises may realize by deploying IBM InfoSphere Information Server. Read on to learn the findings of this study and find out what the total economic impact of IBM Infosphere Information Server.
EGUIDE:
Read this expert tip guide from SearchBusinessAnalytics.com as BI luminary Wayne Eckerson and other experts, including Lyndsay Wise, delve into detail on the necessary facets involved in properly handling big data, such as preparing a data warehouse to effectively manage it by scaling up or scaling out.
EBOOK:
Technological innovations are rapidly changing data warehouse architectures and providing the potential for substantial performance improvements. Read this e-book to get an update on the most important trends in data warehousing, including appliance technology, columnar databases, in-database analytics and more.
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:
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.
PRESENTATION TRANSCRIPT:
Most businesses today are optimizing their legacy data architecture in order to effectively support growing data volumes. Read this transcript to learn about the strategy Sheetz Inc. implemented that enabled them to reduce data loading time from 5 hours to 20 minutes, effortlessly process billions of rows of data, and more.
EBOOK:
This e-book, designed for IT, BI and analytics professionals as well as business executives, provides readers with a comprehensive understanding of big-data analytics trends, technologies and challenges. Receive real-world insight and advice on developing, implementing and managing a big-data analytics program for your organization.
