Systems | Development | Analytics | API | Testing

If you've ever wondered if there is a better way to build and consume APIs, you should check out GraphQL—it's better than REST in many cases. This article discusses how to work with GraphQL in Django.

With more than three decades of existence, this company in the payments sector supplies modern, dependable, and secure financial services to more than 300 million users and processes more than 7 billion transactions annually. Alongside being a major payment processor in Europe, they are a benchmark in Security and Anti-Fraud solutions and services in Business Process Outsourcing.

Internet users increasingly expect their digital experiences to be realtime. To meet this growing expectation, augmenting digital products with realtime features is becoming a priority for many businesses. This is the first post in a multi-part series that looks at what it takes to build and deliver realtime experiences for end-users. This post covers the core capabilities you need to engineer realtime functionality.

From cost-effectiveness to what adds business value — what Autodesk considers critical when deciding whether to buy versus build data pipelines.

Business intelligence (BI) involves converting data into valuable insights using software and services. It influences a company’s strategic and tactical business preferences. BI tools access and analyze data sets and show analytical results in the form of reports, graphs & charts, dashboards, summaries, and maps. This process provides in-depth insight into the situation of the business.

Business analytics is the practice of using data and statistical analysis to help businesses make better decisions. This can involve analyzing data to identify trends, patterns, and relationships, and using that information to help businesses make better decisions about their operations, marketing, and strategy.

The move to the cloud continues at a fast pace and if your organization embraces the future of operational reporting, then you need a plan to ensure consistent enterprise-wide reporting during your cloud journey. A top challenge of cloud migration is the need to produce consolidated reporting and analytics that cover all your Oracle ERP instances.

There is a long history of clustering architectures with respect to building distributed databases for two primary reasons. The first is scalability. If a cluster of nodes has reached its capacity to perform work, adding additional nodes are introduced to handle the increased load. The second is availability. The ability to ensure that if a node fails, let’s say during ingestion and/or querying, remaining nodes would continue to execute due to state replication.