EBOOK:
Hadoop and NoSQL databases have bumped data warehouse systems out of the IT spotlight. In this e-handbook, expert contributors Wayne Eckerson and Rick van der Lans argue that data warehouses are still central to BI and analytics architectures -- and still evolving.
EGUIDE:
Consult this expert e-guide to gain a firm understanding of the requirements needed to implement a successful real-time analytics plan while avoiding many of the pitfalls.
WHITE PAPER:
The following white paper reviews the business drivers that are impacting the new wave of data management, highlights the new tools companies have for consideration in their next generation data architecture, and finally outlines a total data management blueprint for consideration in your big data strategy.
EZINE:
The once insurmountable barriers to buying and applying BI big data analytics tools have lowered dramatically, allowing companies of all sizes to benefit from the products.
EGUIDE:
This expert e-guide reveals the increased complexity behind big data projects, and how new approaches to data integration and governance are required. Additionally, learn why centralizing data integration may not be the best answer to tackling organizations' ever-increasing amounts of distributed data.
EBOOK:
Big data containers running in Kubernetes clusters are a new option for deploying Hadoop, Spark and other platforms. Read this handbook for insights into the potential benefits of putting big data systems in containers and offers advice on how to manage containerized environments.
EGUIDE:
Whether you're planning to upgrade an existing SQL Server instance to 2012 or implement a new instance, this expert e-guide describes everything you need to know to drive SQL Server success. Read on to learn about prerequisite software, included components, little-known features, and more.
EBOOK:
This special edition of Business Information explores how upgrades enterprises' ability to create robust Web and mobile applications and rewrite the rules of development.
EBOOK:
This guide offers expert advice to help you get started with offloading your EDW to Hadoop. Follow these 5 steps to overcome some of the biggest challenges & learn best practices for freeing up your EDW to do the work it was meant to do: provide the insights you need through high-performance analytics and fast user queries.
