Using Talend and Amazon Web Services (AWS), financial institutions are building cloud data lakes to consolidate customer data across hundreds of sources. By validating the quality of that data and correlating data sets with automated processes, you can deliver trusted reporting that meets regulatory requirements and uncover insights for new business.

Qlik Core is a new product offering for developers wanting to create and deploy analytic data-driven cloud applications at scale. Qlik Core is a developer's platform for building, deploying, extending data driven analytical applications at massive scale within any environment resulting in better user adoption, engagement and customer satisfaction.

Data-driven retailers are using visual analytics to address the 3 major shifts surrounding omni-channel retail. Three major shifts have shaken the very foundations of retail: Consumers are empowered and more demanding; supply chains must accommodate omni-channel shopping and services; and the role of stores goes far beyond converting show-roomers.

When it comes to APIs, performance is just as important as accuracy. No matter how good the features and functionality of your application might be, if it performs poorly by crashing or loading slowly, your users will lose interest quickly. With this in mind, we've put together a comprehensive guide to the fundamentals of API load testing.

To find out the state of the IoT and Big Data markets, the O'Reilly team analyzed 300 TB of text and billions of digital documents-search queries, meetups, hiring patterns, SEC filings, websites, and more. The results-based on a big-data analysis of true market activity, not just speculation-are surprising and exciting.

Enterprises have realized that leveraging their data to make data-driven decisions is critical to innovation and staying ahead of their competition. But often organizations are not able to efficiently integrate and process enterprise data for fast analytics, due to reliance on legacy ETL solutions and data silos.

There continues to be an incredible amount of interest in the topic of Big Data. It has transcended from a trend to being simply part of the current IT lexicon. For some organizations, its use has already become an operational reality; providing unprecedented ability to store and analyze large volumes of disparate data that are critical to the organization's competitive success.

Every action a healthcare provider, payer, administrator, or patient takes creates new data. The challenge in healthcare is no longer finding data - but making it usable and actionable. This requires knowing what to do with the data you have, and understanding the relationships that exist within it.