INFOGRAPHIC:
Big data is driving changes in how organizations process, store and analyze data. The benefits are spurring even more innovation. In this infographic, we take a look at four major trends in big data for 2022.
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.
EZINE:
The hype around data mining may have receded, but it remains a critical discipline for the data scientist. This issue of CW Europe looks at what exactly data mining is, how and when it is used – and why it should not be mistaken for business analytics.
WHITE PAPER:
The process of verifying that business intelligence report content has not been adversely affected following a change in the IT environment can be time-consuming and tedious. This resource introduces a utility that automates the testing process – read on to learn more.
WHITE PAPER:
The following white paper explores the current market need for higher performance analytics and introduces an all-inclusive analytics solution that can handle complex environments, big data growth, and scalability. Read on to learn how you can gain better actionable insights, save capital, and more.
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.
WHITE PAPER:
This brief resource introduces an open source software platform that includes Hadoop components for distributed processing and big data management.
WHITE PAPER:
Access this white paper to get an analysis of large data sets using three different tools that are part of the Hadoop ecosystem – MapReduce, Hive and Pig.
EGUIDE:
In this expert e-guide, explore the reasons many businesses are hesitant to put BI systems in the cloud, including security and compliance concerns, and why the time to start evaluating BI in the cloud is now. Read now to discover Wayne Eckerson's top six considerations before jumping into a cloud BI project.
