Systems | Development | Analytics | API | Testing

At our recent Snowday event, we announced a wave of Snowflake product innovations for easier application development, new AI and LLM capabilities, better cost management and more. If you missed the event or need a refresh of what was presented, watch any Snowday session on demand. Let’s dive into all new releases in September, October and November.

2023 was a year of significant developments in the fields of business intelligence (BI) and analytics. With a 50% rise in overall adoption of self-service BI solutions, continued focus on data governance and data security, and ever-evolving integration of automation and artificial intelligence (AI) in analytics, many businesses have transformed their use of data considerably.

Imagine easily enriching data streams and building stream processing applications in the cloud, without worrying about capacity planning, infrastructure and runtime upgrades, or performance monitoring. That's where our serverless Apache Flink® service comes in, as announced at this year’s Current | The Next Generation of Kafka Summit.

Data has had quite the year, hasn’t it? I have worked in the data and analytics space more years than I would like to admit, but I can honestly say that it’s been one of the most exciting, wild rides in recent memory. Qlik has been along for that ride, and brought quite a bit of excitement all on its own. So I thought I would recap the five moments that really stand out for me from the world of data… and Qlik in 2023. But, hang on.

Platform Engineering vs. DevOps: While they both share similar goals, here are 3 key differentiating principles. See how they apply to your tech stack.

If your business deals in large volumes of data, chances are that you are at least somewhat familiar with PostgreSQL, or you may use it actively in your data management strategy. PostgreSQL is a powerful relational database system, and it is completely open source. As of 2019, PostgreSQL was the second-most-common database solution for professionals. Thirty-four percent of more than 75,000 Respondents reported that it was their first choice.

Microservices architecture has emerged as a popular approach for developing software applications in recent years. Instead of building monolithic applications, microservices architecture involves breaking down an application into smaller, independent services that can be developed, deployed, and scaled independently. This approach offers a number of benefits, including increased flexibility, better scalability, and improved fault tolerance.

Unit tests are performed on a single unit of code, usually on a specific function, variable or flow. They allow us to test the components in isolation and validate each single component’s reliability in turn. In this article we’ll introduce the concept of Swift unit testing, and explain, at a high level, why you should carry them out, how you can start developing your iOS apps in a test driven development methodology and how you can write Swift unit test cases.

Kipi.bi and Hevo Data have been bringing increased efficiency and maturity into enterprise organizations’ data stacks for years, and both teams are thrilled to formalize their partnership! Both organizations share a keen dedication to enabling data-driven decision-making by allowing businesses to leverage the power of modern data solutions.