Data Science

Analytics, experimentation, data platforms and pipelines.

754 stories

Data products, data contracts: A new model for data management in financial services
Hasura

In Part 1, we covered the data doom loop [https://hasura.io/blog/escaping-the-data-doom-loop-in-financial-services] – the cycle of complexity, inefficiency, and eroding trust in financial data that persists despite massive investments. The solution isn’t another sweeping…

Hasura: Powerful access control on MongoDB data
Hasura

Across industries – and especially in highly regulated sectors like healthcare, financial services, and government – MongoDB has been a preferred database solution for organizations handling large volumes of sensitive data that require strict compliance adherence. In such…

Cost-effective Inference for Ranker Models
ShareChat

Modern recommender system models can be very compute- and memory-intensive and expensive to serve. In this post, we’ll go over some of the things we did at ShareChat to make our inference more cost effective.

Analysing Bundle Load Time in React Native
Dream11

Overview Analysing bundle load times is essential for optimising the performance of React Native applications. This guide outlines how to track and analyse the loading times of modules within your app by modifying the Metro bundler. In the context of JavaScript, including…

blog.dream11engineering.com
Size Recommendation System at Myntra
Myntra

In recent years, online shopping has surged, revolutionizing how people purchase products and services. E-commerce’s convenience has reshaped consumer behaviour and the retail landscape. Unlike traditional stores, online shoppers often face sizing challenges, leading to…

DRS: Making high-impact & informed decisions with Dream11’s In-house Experimentation Platform!
Dream11

With millions of Indian sports fans across our Dream Sports ecosystem, it takes a highly data-driven team to understand what is required for great fan engagement and ultimately making sports better through our various brands. At Dream11 too, we have been on a constant mission to…

blog.dream11engineering.com
New observability dashboard for Hasura Cloud
Hasura

In this blog post, we’ll explore the features and limitations of the current monitoring setup, how we’re leveraging Grafana, Prometheus, and Hasura’s Data Delivery Network (DDN) to offer a more comprehensive solution, and what this means for the future of monitoring in Hasura…

Hidden in plain sight: Why your data is lying to you
Hasura

This last-mile perspective transforms anomaly detection from a data quality tool into a strategic business capability. So, instead of just catching errors, it becomes a tool for validating the business's narrative across all data domains

Unlock AKS Potential: Master Control Plane and Node Pools
Myntra

Introduction In this guide, we’ll explore the intricacies of configuring Azure Kubernetes Service (AKS) for optimal performance and scalability. As a fully managed container orchestration service by Microsoft Azure, AKS simplifies deploying, managing, and scaling containerized…

Fact Evaluation in Millions: Scalable Rule Executor Service
Myntra

Overview The Rule Executor Service at Myntra stands out as a pivotal tool in the domain of rule engine. While, at a glance, one might wonder what sets it apart from the myriad of rule engines available today, the difference is profound. In Myntra ecosystem, supporting numerous…

GraphQL vs. OpenAPI: Pros and cons for data governance
Hasura

GraphQL and OpenAPI define agreements between data consumers and providers, but they have significant differences in capabilities and contract specifications. Whichever you use, it's essential to be intentional, understand your use case, and design for the best outcome.

Introducing Python functions on Hasura DDN
Hasura

With the support of Python functions on Hasura DDN, you can focus on writing sync or async functions that return some data. Hasura will do the code introspection and generate all the configurations needed for a production-ready GraphQL API.

Build and evolve your APIs on MongoDB data
Hasura

Discover what goes into a good GraphQL API for MongoDB, what it takes to build and maintain one, and how Hasura’s new framework allows developers to kickstart new projects and scale existing projects rapidly.

GraphQL is dead!
Hasura

GraphQL may have crested the Peak of Inflated Expectations since, but it's reached a broad flat plateau where the weather is mild and the terrain is gentle. There have been laudable successes and no overt failures. Needs were met, products were created, wars were fought, and…

Modern Data Analytics | Data Democratization: From Silos to Standardization
Urban Company

🎤 10x Engineering Tech Talks Can traditional data management handle modern analytics? In this insightful talk, Abhishek Pathania (Tech Lead, Data Platform) explores the challenges Urban Company faced as their data needs expanded. He highlights the need for a robust,…

Instant GraphQL APIs on SQLite with Turso
Hasura

If you’ve ever found yourself wishing you could use Hasura-flavored GraphQL with your SQLite database, you’re in luck because today we are excited to announce the release of the Hasura Turso connector.