We're excited to share that deploying applications with buildpacks is now available on the Choreo platform. This empowers users to build their applications on the cloud faster and more easily than before.
Ensuring a seamless data experience that complies with regulatory frameworks, particularly in the public sector, is crucial. Research from the U.K. government found as many as 32% of businesses and 24% of charities suffered online breaches or cyberattacks in the last 12 months. In this increasingly interconnected world, national stability depends on thoughtful data governance and safeguarding.
In the previous part of this series about validating data at the boundary of an Elixir application, we covered a few general programming tactics to try and reject invalid and unexpected data in our software. Continuing with that subject, we'll now explore how two libraries, namely Ecto and NimbleOptions, can further assist us. Let's get started!
Generative AI is bringing a new era of “convenience” with ChatGPT, from OpenAI, taking center stage in our daily lives. From aiding in solving complex problems to generating content, this large language model has become a helpful companion for various testing-related tasks. As generative AI is becoming increasingly present in our daily lives, we should understand how to use it and account for its limitations.
Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? The vast tapestry of data types spanning structured, semi-structured, and unstructured data means data professionals need to be proficient with various data formats such as ORC, Parquet, Avro, CSV, and Apache Iceberg tables, to cover the ever growing spectrum of datasets – be they images, videos, sensor data, or other type of media content.
