Temporal
Bitemporal vs Unitemporal Data: A Field Guide
The ticket came in at 2:47 AM. A hedge fund in Chicago was seeing phantom trades in their risk reports. Not fake trades — trades that had been correct yest...
Handling Time Zones in Temporal Databases
I spent three days in 2024 chasing a ghost. A customer's time-series dashboard showed orders dipping to zero every night at 8 PM. Their data team swore the p...
How Does Temporal Handle Timeouts? A Field Guide
Here's the question I get from every engineering team we work with at SIVARO: "How does Temporal handle timeouts?" Not "what is Temporal." Not "how do I set ...
How Does Temporal Work in Data Engineering?
I spent three days in 2024 chasing a ghost in our event pipeline. The marketing team at a fintech client kept asking why their dashboard showed a customer ch...
How Does Temporal Work in Distributed Systems?
Time is the hardest problem in distributed systems. Not consensus. Not replication. Time. I learned this the hard way in 2021 when a payment reconciliation s...
How to Handle Time Zones in Temporal Databases
August 7, 2026 I spent three days in 2024 debugging a financial reconciliation system that kept losing transactions. The data was there. The timestamps were ...
Bitemporal vs Unitemporal Data Modeling: The Truth
When did we know? That's the question every data model forgets to ask. We store what happened. We rarely store when we knew it happened. At SIVARO in 2024, w...
How to Build a Temporal Data Pipeline
Time is the silent killer of data pipelines. Last year, I watched a fintech company fail a SOC 2 audit because they couldn't answer a simple question: "What ...
Temporal in Streaming: The Missing Manual
You're building a streaming pipeline and it's 2 AM. The Kafka consumer is lagging, some events are stuck in a retry loop, and one of your teammates just aske...
Backfilling Temporal Data Pipelines: A Field Guide
The last time I saw a trillion events get silently corrupted was a Tuesday. We were building a new feature at SIVARO for a client in fintech, and their strea...
Event time vs processing time temporal: A field guide
I killed a production pipeline in 2025. Not with a bad deploy or a dropped table — with a decision that felt obvious at the time. We were building a real-t...
How to Handle Out of Order Events Temporal
August 5, 2026 — In 2023, a fintech client — let's call them Quantia Health — came to us with a billing system that was retroactively charging patients...
How to Manage Out of Order Events in Kafka
In June of 2024, I watched a production incident unfold at a fintech we were advising. Their risk engine kept flagging legitimate card transactions as fraudu...
Processing Time vs Event Time in Kafka Streams: A Field Guide
I watched a fintech in 2024 lose $400K in fraud because their Kafka Streams app processed a chargeback event 90 seconds late. The event time was correct. The...
The War With Time: How to Manage Time in Temporal Workflows
I spent two weeks in early 2024 convinced my Temporal workflows were broken. Workflows were timing out at random. History was ballooning. Schedules misfired....
Bitemporal Data Modeling Explained
You're staring at a dashboard showing revenue for Q2. It's wrong. Not because the numbers are miscalculated, but because you're looking at what the data shou...
Bitemporal vs Unitemporal Data Models: Field Notes
Last spring I sat in a war room with a payments company in Singapore. Their compliance team needed one answer: as of end of Q2, what did we believe this merc...
Bitemporal Data Modeling: The Hard Truth Nobody Tells You
Look, I get it. You're here because you've got a production system that's rewriting history, and it's driving you insane. Your reports don't match your opera...
How to Handle Late Data in Streaming Systems
You're sitting in the on-call rotation, and your pager just lit up. The dashboard shows a 14%% gap between what your streaming pipeline processed yesterday an...
Temporal Data Modeling Best Practices
In 2024, a merchant acquiring bank called us at 2 AM from Singapore. Their reconciliation dashboard was showing balances that didn't match what customers saw...
Temporal Join vs Interval Join in Flink: A Field Guide
Picture this: It's 2024, and a fintech client in Singapore calls me at 11 PM. Their fraud detection pipeline is generating false positives at a rate that's g...
Temporal tables vs Slowly Changing Dimensions: The Real Data History Problem
We were building a pricing engine in 2024. The client asked me a question that sounded simple: "What did the price change history look like on this product?"...
What Is a Synonym for Temporal? (A SIVARO Engineer’s Guide)
I’ll cut straight to the answer: there isn’t one perfect synonym. Temporal is a word that collapses into different meanings depending on context. You don...
Does Temporal Mean Temporary? A Practitioner’s Guide
Temporal. Temporary. Two words, one Latin root (tempus — time). In 2024, I watched a team at a Series A startup rebuild their entire streaming pipeline bec...
What is Temporal in the Bible? A Practical Guide
I spent a decade building data infrastructure. My team at SIVARO processed 200K events per second for a logistics client in 2024. The system was fast. Reliab...
What Does Temporal Mean in Christianity? A Practitioner’s Guide to Time, Earth, and Eternity
I run a data infrastructure company. Every day we decide what data to store forever and what to expire. Hot data. Cold data. Retention policies. Immutable lo...
Temporal Workflow Engine Comparison: What Actually Works in Production
I've spent the last four years building data infrastructure at SIVARO. We process hundreds of thousands of events per second. We've tried every workflow engi...
What Exactly Is Temporal? The Definitive Guide
I remember the exact moment I realized temporal was the key we'd been missing. 2019. SIVARO was building a real-time fraud detection pipeline for a payments ...