Systems | Development | Analytics | API | Testing

A while back we predicted that.NET Core would be the next big thing, offering developers many options in application development. Indeed, there is huge demand for developers that know this technology. But how does it differ from the.NET Framework, and what do you need to know to use them both effectively? Today, we’ll contrast.NET Core vs. .NET Framework to help you choose which one to use for your next project.

What’s the right way to manage growing volumes of enterprise data, while providing the consistency, data quality and governance required for analytics at scale? Is centralizing data management in a data lake the right approach? Or is a distributed data mesh architecture right for your organization? When it comes down to it, most organizations seeking these solutions are looking for a way to analyze data without having to move or transform it via complex extract, transform and load (ETL) pipelines.

Helix Core, the industry-standard version control system, empowers teams to accelerate innovation and collaboration at scale. Deployment of Helix Core in the cloud is simple, easy, and customizable. Perforce provides several deployment options to better meet your team’s unique needs. Read along or jump to the section that interests you the most. ➡️ easily deploy Helix Core in the Cloud.

Cloudera SQL Stream Builder (SSB) gives the power of a unified stream processing engine to non-technical users so they can integrate, aggregate, query, and analyze both streaming and batch data sources in a single SQL interface. This allows business users to define events of interest for which they need to continuously monitor and respond quickly. There are many ways to distribute the results of SSB’s continuous queries to embed actionable insights into business processes.

In this blog we are going to learn about the technical challenges behind solving GraphQL authorization and how many organizations resolve it today. Then discuss how a Kong / OPA integration can help drive security standards in this space and bring some parity with REST API solutions. Last, we will end with a quick tutorial.

If you’re evaluating enterprise business process automation technologies, it’s important to understand what complete process automation technology can do compared to today’s many automation point solutions. Process automation technologies automate repetitive and manual tasks inside a business process.

Instead of relying on inaccurate, messy and low-quality data, business leaders can instead drive innovation forward by turning to automated data management, creating a clean and steady data flow.

Businesses like yours need to connect applications and data sources to better serve customers, automate processes, and improve decision-making.

Recently, I published an article on whether self-service BI is attainable, and spoiler alert: it certainly is. Of course, anything of value usually does require a bit of planning, collaboration, and effort. After the article was published, I began having conversations with technical leaders, analysts, and analytics engineers, and the topic of data modeling for self-service analytics came up repeatedly.