Systems | Development | Analytics | API | Testing

A Guide to Event-Driven Architecture in Elixir

In this post, we will explore how event-driven architecture can make your app more responsive for users and decouple your modules for a better developer experience. We will also look at several methods of implementing event-driven architecture with Elixir. Elixir is particularly good for this because of the advanced and concise message-passing APIs that it offers and BEAM's outstanding support for concurrency. But first: what is event-driven architecture, exactly?

New! Build seamless Live Analytics workflows with ThoughtSpot and dbt

It’s no secret that modern data professionals are under immense pressure to deliver more data and insights to more business users, more quickly than ever before. Data is the lifeblood of your business. And frontline business people need personalized, actionable insights to make data-driven decisions. But before these users even touch a self-service Live Analytics platform like ThoughtSpot, the data must be appropriately modeled by analytics engineers.

ThoughtSpot supports Amazon Redshift Serverless

As companies go all in on the cloud to dominate the decade of data, agility, flexibility, and ease of use are critical to success. That’s why we’re so excited to announce ThoughtSpot’s support for Amazon Redshift Serverless which allows customers to leverage the Modern Analytics Cloud to run and scale analytics on Amazon Redshift without having to provision and manage any data warehouse infrastructure.

Using Snowpark As Part Of Your Machine Learning Workflow

Teams working on data science initiatives are tasked with deriving new insights from massive amounts of data. To accomplish this, teams work with compute environments that require heavy operational overhead, which means most of their time is spent extracting and processing features for machine learning model training and inference. Pairing Snowflake’s near-unlimited access to data and elastic processing engine with the most popular programming languages can change that, so more time can be spent on model development.

Mobile Testing Guide: How to test Android and iOS apps

Have you ever used an app on your mobile device and experienced slow load times, crashes, freezing screens, and privacy breaches? Or has your team discovered an error in an existing functionality weeks after you’ve launched an app? If you are a mobile app user, the answer is likely yes. As a consumer, you may have been triggered to delete the app completely, reinstall it, or download a competitor’s app.

Improving a day in the life of: Data Scientist - How ClearML is actually used.

ClearML in the real world, without the marketing fluff. Watch along as we show how ClearML integrates with this audio classification use case. Get lots of tips, tricks and inspiration on the use of the experiment manager and remote agents for use in your own day-to-day life as a data scientist. Chapters.

Leadership Tips: Keeping Data Teams Focused & Engaged | Data Legends Podcast

How do you keep your data team focused and build something that people will derive value from? In this episode, we cover team engagement, how to evaluate tech, and the influence of consumer analytics on innovation. Listen to our conversation with Raheem Daya, Sr. Software Development Manager, Envision Engineering at Amazon Web Services: How to set a clear vision and keep your data team engaged How to decide what tech to invest in and build How consumer tech is democratizing data

A Guide to Free Data Integration Tools

In the 21st-century business world, data reigns supreme. This means that how organizations to store, organize, move, and automate their valuable company data is crucial for overall success. When it comes to data management, having a great data integration solution in place is key. The process of data integration allows users to combine data from multiple sources, creating a data pipeline.