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REST endpoints that join table data typically allow you to retrieve and combine information from multiple tables or data sources in a single API call. These endpoints enable complex queries and data aggregations, often using JOIN operations, to return a unified dataset, simplifying data retrieval and reducing the need for multiple requests and manual data processing. They are commonly used in database systems and data analytics platforms to efficiently access and manipulate interconnected data.

Salesforce is among the leading CRM software platforms for collecting and leveraging user data to make smart sales, marketing, and customer support decisions. However, other software in your tech stack can benefit from such data. With the right Salesforce middleware, you can exchange data easily with your other critical tools.

Exceptions are a core aspect of programming, and a way to signal when something goes wrong with a program. An exception could result from a simple error, or your program might crash because of underlying constraints. Exceptions are not necessarily bad, though — they are fundamental to any working application. Let’s see what our options are for handling exceptions in Elixir.

Discover where your company stands with its SEO performance in comparison to the most relevant industry benchmarks.

Smartphones literally dominate the world. There are 6.92 billion smartphone users in the world today, which is 85.88% of the world population. That figure is only 49.40% in 2016. Such ubiquity of smartphones demands mobile app developers to deliver high-quality applications at all times to remain competitive and relevant through effective mobile application testing.

Organizations increasingly rely on streaming data sources not only to bring data into the enterprise but also to perform streaming analytics that accelerate the process of being able to get value from the data early in its lifecycle. As lakehouse architectures (including offerings from Cloudera and IBM) become the norm for data processing and building AI applications, a robust streaming service becomes a critical building block for modern data architectures.

Generative AI has recently emerged as a groundbreaking technology and businesses have been quick to respond. Recognizing its potential to drive innovation, deliver significant ROI and add economic value, business adoption is rapid and widespread. They are not wrong. A research report by Quantum Black, AI by McKinsey, titled "The Economic Potential of Generative AI”, estimates that generative AI could unlock up to $4.4 trillion in annual global productivity.

Unlocking the full potential of your SAP solution requires the complete trust of your data. Without trust, users will second guess any insights, stalling business progress. Research has pinpointed three key pain points that companies encounter with their SAP data: a prevailing sense of data distrust, a lack of maintenance and data cleansing, and a shortage of skilled users. These pain points not only impede progress but also pose significant roadblocks to migrating to S/4HANA, the future of SAP.