When it comes to big data, the general rule of thumb is "the more of it, the better." With more information at your fingertips, you'll be better equipped to run analytics workflows and uncover valuable insights for data-driven decision-making. However, there's another rule of thumb that applies in situations like these: "sharing is caring." Even if you collect massive quantities of information, its benefit will be limited if other people and software in your organization don't have access to it.

Fintech is the future of finance. From digital wallets to firms that help traditional banks create digital customer solutions, financial technology companies are thriving. Because of this, you may come across plenty of new banking terms. Keeping up with this terminology may seem challenging, which is why we’ve created our guide to the banking API vs Open Banking and Neo Banking.

Note: This is part 2 of the Make the Leap New Year’s Resolution series. For part 1 please go here. When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale.

While they may seem similar at first glance, Developer Experience (DX) is not just “User Experience (UX) for developers”. Rather, DX is an extension of UX focused on users who build with technical languages and tooling. DX follows the same core principles of UX but extends it by recognizing that technical details and mechanical processes can be understood and utilized efficiently by a developer.

Want to improve your reporting by presenting qualitative data? This guide covers all the steps you need to start building great business reports.

Workflow Recipes provide ready-made solutions for common Workflow tasks. To make your life easier, you can find a range of different Recipes along with examples of entire Workflows.

In any application integration, data migration and in general, any data management initiative, data mapping is one of the most critical steps. One could even argue that the integrations project success depends largely on correct mapping of source to target data. So, let’s review what the data mapping best practices are: the types, the common approaches as well as the useful data mapping tools.

Amazon Redshift is one of the leading big data management services that any business can use to extract, transform and load data for various business uses. Amazon’s AWS platform is designed to help with that by providing access to Amazon Redshift with scalable AWS services. Redshift is complex, which gives you a lot of customization options but can also be harder to optimize without help. Here are 10 Amazon Redshift performance tips to maximize your Amazon Redshift experience.

Machine learning (ML) is the area of artificial intelligence (AI) that focuses on how algorithms learn to change and grow. This emerging technology is already a big part of modern life, such as the automation of various tasks and voice-activated technologies. ML is closely linked to big data, data mining, data analytics, and various other aspects of data management.

In recent years, Ethical AI has become an area of increased importance to organisations. Advances in the development and application of Machine Learning (ML) and Deep Learning (DL) algorithms, require greater care to ensure that the ethics embedded in previous rule-based systems are not lost. This has led to Ethical AI being an increasingly popular search term and the subject of many industry analyst reports and papers.