Systems | Development | Analytics | API | Testing

The financial services industry is vast, complex, and almost infinite in its diversity. So, too, are the regulatory agencies overseeing this industry. For example, the US market's regulatory framework is incredibly complex: More than 50 state or local and more than a dozen federal agencies coexist to keep the financial services marketplace healthy, competitive, and safe for consumers. The missions of the agencies overseeing the financial services industry vary as widely as the sector itself.

What does it take to be successful in the world of data? We asked DJ Patil, one of the most influential data scientists in the world and guest keynote speaker at the 2023 Modern Data Stack Conference.

To build a mobile app that can be easily scalable, you need to build a solid foundation. At the Mobile DevOps Summit, Scott Campagna shared tips to update mobile infrastructure to create better customer experiences.

When responding to our clients, we can utilize various status codes defined by the HTTP protocol. Others wish to fully utilize HTTP's library of codes to inform their clients of any issues; some APIs simply use the most fundamental codes and develop their own error-signaling systems on top of them. This tutorial explains the CRUD actions and the status codes you should employ for a clean API design.

Over the past few months industry analysts have been making some pretty controversial recommendations for data management in the cloud. For a thoughtful and entertaining analysis, I strongly recommend you spend a few minutes watching the keynote session by Pat Moorhead, CEO Moor Insights & Strategy, at the Evolve 2022 Data event in New York. His takeaway: “The world is very much going to be hybrid and multi-cloud.” His delivery—priceless.

Too many data teams focus on data movement and creating data pipelines without aligning those activities to business outcomes. Data teams are meant to make data flows work so much of their focus involves managing data connections across the data ecosystem. Pulling data from Salesforce or ensuring reverse ETL from a data warehouse helps support successful data movement and overall data pipeline development. It doesn't always align to a more effective supply chain or cost savings.

Many times, a business treats an engaged customer like a random prospect. Marketing systems may not correctly target with relevance, finance systems may apply discount rules across the board, or customer support systems may treat every client with the same indifference.

The IDC MarketScape: Worldwide Machine Learning Operations Platforms 2022 Vendor Assessment is an annual study that evaluates technology vendors based on a comprehensive framework. It provides an in-depth quantitative and qualitative assessment of MLOps solution vendors in a long-form research report, to help buyers make important technology decisions that will create long term business success.

Xray is one of the most popular Jira apps for testing and QA. It enables test management natively within Jira so that software teams can seamlessly integrate quality management into their everyday workflows. You can easily link requirements to Xray test cases within Jira to keep tabs on all tests, know where tests went right/wrong, and bring focus to quality at scale. Together Katalon and Xray streamline test automation and test management efforts for agile teams and their CI/CD pipelines.

Cloudera has been providing enterprise support for Apache NiFi since 2015, helping hundreds of organizations take control of their data movement pipelines on premises and in the public cloud. Working with these organizations has taught us a lot about the needs of developers and administrators when it comes to developing new dataflows and supporting them in mission-critical production environments.