EGUIDE:
With its noninutrusive method, low-impact, real-time data integration software can liberate your systems from data extract processing batch windows for Oracle data warehousing and allow you to extract data at any time, even when users are online. Read this expert e-guide to learn more about real-time data collection for Oracle data warehouses.
EZINE:
The second edition of BI Trends & Strategies, an e-zine offering advice on business intelligence (BI), analytics and data warehousing, explores whether or not it's the end of enterprise data warehouses as we know them, how to manage multiple business intelligence (BI) tools at once and the potential uses of data virtualization tools.
EGUIDE:
What's different about Microsoft's latest release, SQL Server 2012, that has midsize companies considering it for their big data analytics and data warehousing needs? Read this expert e-guide to find out. Also, find tips on choosing between SQL Server's native backup compression and third-party tools.
WHITE PAPER:
This executive brief explains how the combination of master data management (MDM) and data quality (DQ) can significantly enhance the accuracy and reliability of data, enabling timely, confident decisions and accurate reporting.
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:
This concise case study outlines how they chose to leverage a Data warehousing as a Service (DaaS), allowing their pricing analysts to have access to a live analytical database, reports, and a team of experienced consultants who understand their business requirements.
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.
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.
PRESENTATION TRANSCRIPT:
Wayne Eckerson introduces big data and the issues involved in warehousing it as well as an overview of data warehouse architectures for storing big data.
WHITE PAPER:
In this white paper, you will learn intelligent data modeling practices to design and deliver superior business intelligence (BI) faster, the characteristics and benefits of intelligent data modeling and how to promote the use of data models to fast-track data warehouse and BI projects.
