EBOOK:
This expert e-book chapter will provide IT, BI and analytics managers with information on the current state of big data adoption and advice on how to prepare for and launch projects. Inside, you'll discover key issues to consider in the big data technology evaluation and selection process.
WHITE PAPER:
This technical resource examines three key new features of SQL Server 2014 that deliver mission-critical performance, faster data insights, and migration of data to the cloud.
WHITE PAPER:
The following white paper explores the importance of data visualization in deciphering growing big data volumes. Learn why spreadsheets and other conventional data display methods cause so many problems, how visualization offers a solution, technology recommendations, and more.
EZINE:
In this week's Computer Weekly, we find out how a temporary IT set-up based in a portacabin is supporting the UK's largest critical infrastructure project. Our latest buyer's guide looks at converged infrastructure products. And we analyse research showing data protection topping the list of UK security priorities. Read the issue now.
EGUIDE:
Applying technology like machine learning to transaction data could significantly increase the proportion of money laundering activity that is detected. It is projects like this that are driving demand for data science skills. In this e-guide, read about the power of data against money laundering, and how to get the skills to turn data into gold.
EGUIDE:
Data grants insight into your talent's performance, but how can you use data from across the company to determine how an individual employee's performance assists in reaching your goals?
EBOOK:
Data governance is all about managing data as a business asset and ensuring that data is accurate, consistent, integrated, timely, complete and secure. This report examines the market trends for implementing data governance.
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.
