Redis is an excellent tool for caching web pages and reducing server load, but it also has some features that can be used to create powerful distributed applications.
In this article, I will show readers how we can use Python-based CDK constructs to set up a Glue job to load data from Amazon S3 to AWS Glue catalog tables.
Implementing a BCDR strategy to ensure that your data is secure and that your apps and workloads are available during scheduled and unforeseen outages.
This article will discuss different ways to implement polymorphism in JavaScript, which includes function overloading, method overriding, and duck typing.
How to create a sample Scala app and connect it to ScyllaDB NoSQL using the Phantom library for Scala: a Scala-idiomatic wrapper over a standard Java driver.
In this blog, we will delve into the inner workings of QSVMs and explore their advantages over classical SVMs. We will also discuss the implementation and applications.
The type conversion of variables in JavaScript takes place both manually and explicitly; we just have to write the function name or method manually. Read more.
In this article, we will explore the ways for IoT solutions to gather vehicle and traffic data for optimal route planning, predictive maintenance, and detection of driving issues.
Incident management isn’t just for software engineers. With the rise of data platforms and the data-as-a-product mentality, building more reliable processes and workflows to handle data quality has emerged as a top concern for data engineers.
This article explores a real-time supply chain control tower for end-to-end visibility and automation powered by the data streaming platform Apache Kafka.
This article reviews JavaScript UI libraries that can be considered alternatives to ag-Grid and Handsontable to integrate grids and spreadsheets into web apps.
This article takes a look at why a workload-centric approach is better for a developer's productivity in comparison to an infrastructure-centric approach.
In 2022 the news about artificial intelligence (AI) and automatic learning (Machine Learning or ML) have skyrocketed and are expected to accelerate in 2023.
Ensuring the security of API calls is crucial for protecting sensitive data, preventing unauthorized access, and maintaining the integrity of the system.