Scalable Analytics Architecture What it takes to build a real-time recommendation system Real-time recommendation systems power a vast number of modern customer experiences. Learn what it takes to build a real-time recommender in this comprehensive guide.
Scalable Analytics Architecture Real-time streaming data architectures that scale Data and engineering teams are turning to real-time data architectures to power revenue-generating data pipelines. This post provides a reference for building scalable streaming data architectures that can support multiple different use cases.
Scalable Analytics Architecture 16 questions you need to ask about your Real-Time Data Strategy Considering a real-time data initiative? Answer these 16 questions and follow these recommendations to nail your real-time data strategy.
Scalable Analytics Architecture Event-driven architecture best practices for databases and files Event-driven architectures should have largely replaced poll-based workflows and batch ETLs. Here are the common patterns (and anti-patterns) I have observed for event-driven ingestion of data from both application databases and file systems.
Scalable Analytics Architecture Using Tinybird as a serverless online feature store Machine learning can feel like a lot of hype, but feature stores are extraordinarily practical. In this post, I'll show you why Tinybird makes for an excellent online feature store for real-time inference and game-changing user experiences.
Scalable Analytics Architecture 5 criteria of data quality and how to test for them Data Quality Assurance is an important focus for companies seeking to advance the trustworthiness of their data pipelines. Here are 5 criteria for measurement data quality, and some sample SQL you can use to test for them.
Scalable Analytics Architecture The 8 considerations for designing public data APIs For years I developed flood warning systems built on public data APIs. From my experience, I learned that there are 8 things you must consider to build a resilient public data API. These are those 8 things, and how Tinybird can take some of them off your plate.
Scalable Analytics Architecture The 5 rules for writing faster SQL queries If you're building real-time analytics, you need your SQL to be fast. Fast SQL queries improve performance and reduce cost. Here are the 5 rules to follow to write the fastest SQL queries of your life.
Scalable Analytics Architecture Data-Driven Talk: Build fast APIs, faster, over data at scale Tinybird helps developers and data engineers build fast APIs, faster, over streaming data at scale. This is a partial transcript from a talk given by Jorge Gomez Sancha, Co-Founder and CEO of Tinybird, at Data Driven NYC ‘23.
Scalable Analytics Architecture Real-Time Analytics: Examples, Use Cases, Tools & FAQs Real-time data analytics can be a powerful differentiator for businesses. But how should you approach it to maximize output and keep costs in check? Get answers to these questions - and many more - in this definitive guide.
Scalable Analytics Architecture Comparing Tinybird to AWS Kinesis, S3, Glue, and Athena Amazon S3, Kinesis, Glue, and Athena are often used for strategic data analysis. Learn how Tinybird fits in the AWS stack for real-time, operational analytics.
Scalable Analytics Architecture The Data Journey: Unlocking data for the right now We're all in the middle of a multi-step process to consolidate, model, and operationalize our data. Here's where we're getting stuck, and what to do about it.
Scalable Analytics Architecture A privacy-first approach to building a Google Analytics alternative Respecting your web visitors' privacy and getting the data you need don't have to be mutually exclusive.
Scalable Analytics Architecture What is a data product? Like a song recorded in a studio, a data product is more than the sum of its parts.
Scalable Analytics Architecture The definition of real-time data What is real-time data? A precise definition is elusive. In this case, a metaphor helps.
Scalable Analytics Architecture The data rules worth $40,000 a day A "real-world" example of how data best practices can seriously shrink your usage bill.
Scalable Analytics Architecture Usage-based pricing: Should you build or buy? With the advent of realtime analytics platforms, the value of buying SaaS usage-based pricing may be diminishing.
Scalable Analytics Architecture Thinking in Tinybird The best way to build a data project in Tinybird is to work backwards
Scalable Analytics Architecture The hard parts of building data systems with high concurrency Here are 8 things to think about when you're trying to scale in realtime.
Scalable Analytics Architecture The era of JSON data analytics JSON is the de facto standard for data communication in the web and that's why we are supporting it natively: from a Kafka stream or from local or remote NDJSON files (and very soon in other flavours)
Scalable Analytics Architecture Starting with Kafka I just want to share my thoughts on Kafka after using it for a few months, always from a practical point of view. I don’t know anything more than the basics ...
Scalable Analytics Architecture DataOps: How to Develop and Scale Data Intensive Projects As we build Tinybird, we work hand in hand with many data and engineering teams. In the process we are discovering new ways to develop, maintain and scale da...
Scalable Analytics Architecture DataOps: 10 principles to develop data intensive projects 10 of the principles of DataOps that we make available to data teams.
Scalable Analytics Architecture Writing good docs, the importance of speed, SQLite and no-code tools for coders - What our team is reading How to write good documentation, why speed wins and how SQLite succeeded and on choosing to build no-code tools for highly technical people
Scalable Analytics Architecture Investigating Performance Bottlenecks With SQL & Statistics How to correlate API endpoint parameters and response times with Tinybird to find performance bottlenecks. And how to visualize and prioritize them with Google Sheets.
