Systems | Development | Analytics | API | Testing

APIs (application programming interfaces) are an essential, yet often overlooked, component of the modern organization’s IT environment. According to a 2020 study, 83 percent of IT professionals and executives say that API integration is “critical” to their business strategy. These days, a single organization may rely on dozens or hundreds of third-party APIs, each of which may have a significant downstream effect on a company’s productivity and profitability.

We’re excited to share that after adding ANSI SQL, secondary indices, star schema, and view capabilities to Cloudera’s Operational Database, we will be introducing distributed transaction support in the coming months. The ACID model of database design is one of the most important concepts in databases. ACID stands for atomicity, consistency, isolation, and durability. For a very long time, strict adherence to these four properties was required for a commercially successful database.

Across nearly every sector working with complex data, Spark has quickly become the de-facto distributed computing framework for teams across the data and analytics lifecycle. One of most awaited features of Spark 3.0 is the new Adaptive Query Execution framework (AQE), which fixes the issues that have plagued a lot of Spark SQL workloads. Those were documented in early 2018 in this blog from a mixed Intel and Baidu team.

Envoy is a high-performance C++ distributed proxy designed for microservices and service-oriented architecture, as well as a scalable communication bus and “universal data plane” designed for large scale service meshes. Envoy runs alongside every application and abstracts the network by providing common features in a platform-agnostic manner.

In this guide you’ll learn how to send Moesif behavioral emails with Sendgrid. Moesif behavioral emails is a feature that automatically sends emails to customers based on their API usage. This can be used to notify customers about technical issues, such as hitting rate limits, using deprecated APIs, or broken integrations. You can even use it to trigger business-related events such as when an item is shipped. If something can be mapped to an API call, then you can send an email from it.

In this article we are going to explore lateral joins. "What is a lateral join?" you may ask. It's a new kind of join that allows to extract and work with the single elements found inside an array, as if the array was a normal table. Lenses 4.1 comes with a lot of new features that make your life easier when working with arrays: we introduced 6 new functions to work with arrays, better support for array literals, and lateral joins.

Leading software organisations with data-driven insights? Sure! Bring it on! But how? And where to get the right data from? Learn how to unlock your software engineering teams treasure trove of data for better decisions making. It is easy to get behind the idea of data-driven decision making in the software engineering world.

In our industry, we often like to use the analogy of building a house when we describe how we build software. In our house-building analogy, this would be the blueprint of the house or the process that we are going to follow to construct a home or software. The analogy continues to be relevant because of all the interdependencies that are at work in terms of understanding the blueprint and translating it into work.

The key differences between Hadoop vs. SQL: Organizations rely on big data to power their business, but many teams struggle with the complexities of data management. Thankfully, Hadoop and SQL handle large data sets more efficiently. These tools manage data in unique ways, which makes it difficult for us to compare them on a like-for-like basis. However, organizations looking to streamline their tech stacks might have reason to choose one over the other. In this article, we compared Hadoop vs.

If there’s one thing enterprises have learned in 2020, it’s how to navigate through uncertain times, and in 2021, organizations will likely have to continue navigating through a shifting landscape. One trend that we’ve seen this year, is that enterprises are leveraging streaming data as a way to traverse through unplanned disruptions, as a way to make the best business decisions for their stakeholders.