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The below was originally published in The Pragmatic Engineer. To get timely analysis on the tech industry like this, on a weekly basis: sign up to The Pragmatic Engineer Newsletter. If you are into podcasts, check out The Pragmatic Engineer Podcast. Imagine Apple decided Spotify was a big enough business threat that it had to take unfair measures to limit Spotify’s growth on the App Store.
To enhance security and ease operational burden, many organizations with data lakes or lakehouses want flexibility to securely integrate their tools of choice on a single copy of data. An open standard for storage format and catalog API has helped, but there’s still a need for open standards for the catalog, including a consistent way to apply security access controls to data.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Discover how QueryGPT revolutionizes SQL query generation at Uber! Learn about the cutting-edge AI that turns natural language prompts into efficient SQL queries, boosting productivity at Uber. Dive into our journey of innovation and transformation.
Exploring beyond third-party LLMs, Uber leverages in-house LLM training to embed domain-specific knowledge and support GenAI applications. Embracing open-source solutions unlocks top-tier training throughput and GPU utilization.
Exploring beyond third-party LLMs, Uber leverages in-house LLM training to embed domain-specific knowledge and support GenAI applications. Embracing open-source solutions unlocks top-tier training throughput and GPU utilization.
In the fast-paced world of software development, the efficiency of build processes plays a crucial role in maintaining productivity and code quality. At ThoughtSpot , while Gradle has been effective, the growing complexity of our projects demanded a more sophisticated approach to understanding and optimizing our builds. This requirement prompted us to explore Build Analytics—harnessing data from our build processes to gain actionable insights.
In today’s enterprise landscape, ensuring high availability, scalability, and disaster recovery is paramount for businesses relying on continuous data flow and analytics. Striim, a leading platform for real-time data integration and streaming analytics, offers multi-node deployments that significantly enhance redundancy while delivering enterprise-grade capabilities for mission-critical workloads.
Technology is given special attention within the financial services sector owing to the need for constant upgrades to fulfill the needs of the world market. At present, Generative AI (GenAI) is one of the essential instruments that has changed the financial industry, risk management, and analysis of financial data. This shift is helping financial institutions harness insights from artificial intelligence and machine learning for improved decision-making operational performance, transforming fina
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Salesforce is a tool that is used in customer relationship management and the enhancement of business activities. Nevertheless, it does take a lot of testing to get it right. Picture the Salesforce system not working rightly – irritated customer base and affected enterprises are among them. This is where effective testing becomes highly important.
Did you know that more than 73% of businesses find it difficult to turn their data into actionable insight? It’s not due to an absence of data but rather a failure to structure it in a manner that facilitates straightforward analysis. Businesses collect massive amounts of data daily.
Trusting and being time-efficient are not the only things that have changed in online shopping. The old ways of working no longer apply, and organizations need to obtain new mechanisms to survive. Salesforce Commerce Cloud helps in every sector of e-business, including marketing. Thus, the nature of this blog is the subject that will be described in detail in this blog.
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