iiinova — where your digital self keeps evolving

Nitay Joffe @nitayj.bsky.social · 14/09/2026

OCSF is not just about putting security events into the same shape. The harder work is standardizing semantics and values so defenders spend less time cleaning data. link to episode below

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Nitay Joffe @nitayj.bsky.social · 04/08/2026

Pulling a big result set from Snowflake into Tableau isn't network-bound. It's CPU-bound — burning cycles converting columns to rows and straight back to columns. @ian.columnar.tech of Columnar on ADBC, and the 10-100x you get by deleting that step. link below

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Nitay Joffe @nitayj.bsky.social · 07/07/2026

Traditional databases were "sold on the golf course" — to purchasing departments, not developers. @hannes.muehleisen.org on how that blind spot created the gap between pandas and Spark that @duckdb.org walked right into. Episode link below

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Reposted by Nitay Joffe

Tech on the Rocks @totrrocks.bsky.social · 09/04/2026

"Never bait and switch developers." @jt.lol watched CRDTs promise magic on day one and deliver misery by month six. Convex starts with serializable transactions and typed, reactive code instead - and it turns out that's what AI agents write best too. episode link below

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Nitay Joffe @nitayj.bsky.social · 05/02/2026

Software has solved "it works on my machine," but data pipelines are still the Wild West. 🤠 Hussain (xorq) breaks down why the research-to-prod gap persists, why Feature Stores struggled, and how applying "lock files" to data can finally fix reproducibility. link below

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Nitay Joffe @nitayj.bsky.social · 02/12/2025

“Parquet is great… until GPUs, multimodal data & million-column schemas show up.” The creator of pandas/Arrow @wesmckinney.com digs into Arrow vs Parquet, new columnar + table formats, DataFusion/DuckDB, metadata headaches, and what AI coding agents mean for open source infra. Episode link below

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Tech on the Rocks @totrrocks.bsky.social · 08/09/2025

New episode: chatting with bauplan founders Jacopo Tagliabue and Ciro Greco on shipping AI with real-world data constraints. Why listen 1. Data pipelines determine model effectiveness, far more than most teams admit.

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Tech on the Rocks @totrrocks.bsky.social · 18/08/2025

What if email isn’t an inbox—it’s your company’s knowledge graph? 🧠 @thatguybg.bsky.social breaks down: acquisition reality (retention/culture > price), startup energy vs. big-co burnout, Launch House, and Micro’s AI layer that turns mail into CRM/hiring/sales apps + proactive updates” link below

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Philippe Noël @philippemnoel.bsky.social · 15/07/2025

1/5. @paradedb.bsky.social has raised a $12M Series A to bring Elasticsearch workloads to Postgres. 🧵

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Philippe Noël @philippemnoel.bsky.social · 01/07/2025

1/12. I'm excited to share our latest technical blog post on ParadeDB. After a brief hiatus focused on transforming ParadeDB into an enterprise-ready database, expect to hear a lot more from us. Today's post: How ParadeDB built an LSM on top of Postgres block storage. 🧵

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Nitay Joffe @nitayj.bsky.social · 11/06/2025

What happens when a query engine lead goes deep into edge storage design? Josh explains how Cloudflare’s durable objects enable global, consistent state without the pain of infra. Great listen on serverless, multiplayer, AI agents, and building apps that don’t need a backend. Link below

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Nitay Joffe @nitayj.bsky.social · 12/05/2025

How does a simple tool evolve into a billion-dollar platform? Erik Swan, co-founder of Splunk, shares insights on: Starting with a focused “hammer” before scaling The “physics of business” in go-to-market strategies Navigating product-led growth and network effects Link below

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Nitay Joffe @nitayj.bsky.social · 29/04/2025

Join us as we chat with Gilad Kleinman, co-founder of Epsio, about transforming database views through incremental materialization. Learn how Epsio’s approach enhances performance and integrates seamlessly with existing systems. #DataInnovation. Link below

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Nitay Joffe @nitayj.bsky.social · 28/03/2025

Join us as we chat with Viktor Kessler about revolutionizing metadata management. From Data Mesh challenges to Lakehouse solutions, and the creation of Lakekeeper for Apache Iceberg, discover strategies to make data functions profitable. Link below.

techontherocks.transistor.fm

Tech on the Rocks | From Data Mesh to Lake House: Revolutionizing Metadata with Lakekeeper

SummaryIn this episode, Viktor Kessler shares his journey and insights from his extensive experience in data management—from building risk management systems and data warehouses to working as a sol...

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Nitay Joffe @nitayj.bsky.social · 04/02/2025

Really great conversation with a brilliant mind, highly recommended.

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ParadeDB @paradedb.com · 17/01/2025

ParadeDB is now integrated with Postgres block storage. Today, we are releasing Part 1 of our 3-part blog series on how we designed a new storage mechanism for search and analytics in Postgres. www.paradedb.com/blog/block_s...

paradedb.com

ParadeDB

Zero-ETL search and analytics for Postgres

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Nitay Joffe @nitayj.bsky.social · 17/01/2025

Really fun chatting with @philippemnoel.bsky.social about how to turn Postgres into a full search and analytics engine. The extensibility of Postgres is one of its most brilliant design choices, and ParadeDB's extensions on top of that bring impressive capabilities.

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Nitay Joffe @nitayj.bsky.social · 19/12/2024

So much fun chatting with David of Arcjet about security tooling, while "security as code" matters, AI's role in tackling bots, and everything in between. David is also the creator of Console.dev the best dev tools newsletter out there. Have a listen this is a great one.

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