john kutay
@JohnKutay
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engineering @ striim (streaming sql / cdc / pipelines). what’s new in data for 🎙️
San Francisco, CA
Joined April 2022
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Pinned Tweet
He died doing what he loved: providing a best-in-class enterprise platform that accelerates digital transformation all while maximizing business value.
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@nikitabier
Marriotts have a crazy, distinct advantage where they don’t make you do chores and then frame you for breaking a home appliance. Hard to compete with that.
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@AnnieAgar
We’ve progressed from Brock being a game manager to a guy carried by his teammates to being a vessel for divine intervention. Literally anything other than “he’s good at football.”
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@AlexNoonan6
Networking to brainstorm how much generational wealth they can waste on clubs and bottle service.
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@sampullara
10k hours of remote meetings. Some contentious back and forth between dozens of PMs, UX, engineering teams. A few winter offsites in Aspen and summer offsites in Monaco. But in the end the juice was worth the squeeze and we as users get the benefit of this magical experience 🥰
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In my college Linear Algebra class we read a paper called the '$25 Billion Eigenvector' that detailed the Google PageRank implementation (obviously Google's valuation has skyrocketed since the publishing of that paper 😂). In a similar fashion, I'm going to refer to Confluent
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Snowflake stock dropping 23% on news of Frank Slootman's retirement is the real life version of the 'There he is, that is Dad' moment in succession
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You all want the dashboard but no one wants to see the horror behind it
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S3 native is the future. But you need serialization format. So delta is the future...unless you use Snowflake...then iceberg is the future...but maybe you want to be the coolest dev on data twitter...then duckdb is the future. which uses S3. S3 is the future? Also OneLake. Fabric
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@gnosisle
this guy definitely went skiing and there's no other possibility. unless it's summer...then he went hiking in wyoming.
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When someone technical wants to buy a new specialized SaaS tool to analyze some metric that's already in the warehouse.
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What do I honestly think the future of data is? SQL and python. Python and SQL. More python, and then sprinkle in a lot of SQL. Did I mention sql and python?
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Data Linkedin/Twitter: The Modern Data Stack is DEAD. It's OVER!
Fortune 100 enterprise rolling out Snowflake: We're in a 2-year dev period with a target prod date of January 2025.
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"all of data engineering is duct tape around the impedance mismatch between software engineering and analytics"
data twitter:
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Data engineers doing BI: I use a fully managed warehouse to trade complexity for simplicity and good performance out of the box.
Data engineers doing streaming: so I import the Flink binaries, clone debezium, set up a kinesis firehose, S3 bucket w/parquet, config a NAT gateway..
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Your favorite apps use real-time data and AI-driven personalization (Uber, Twitter, Netflix etc) yet the modern
#data
stack is built with batch, non-real-time data. 🤔 I wrote a simple explainer on how stream processing makes your analytics real-time.
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@0xgaut
If you actually use the salt and pepper you will get a $100 charge for not replenishing it.
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@mattturck
2020: San Francisco is dead
2022: driving through the empty downtown streets, desperately looking for devs to attend a meetup
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Now "decentralize our data with self-service analytics"
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Proud to announce my new job at Crowdstrike as a senior release engineer. Pushed my first feature earlier today and couldn’t be happier with my work.
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@chrisalbon
its definitely distinct. saccharine with embarrassing levels of emoji use. i can spot chatgpt generated linkedin posts in a second...
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/r/dataengineering has caught on to thinly veiled
#vendorcontent
. data startups are frantically pivoting back to SEO.
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Change Data Capture (CDC) is crucial for real-time data integration and ensuring that databases, data lakes, and data warehouses are consistently synchronized. There are two primary CDC apply methods that are particularly effective:
1.Merge Pattern: This method involves creating
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Seems like there isn’t a good solution for data. Have any vendors solved this?
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What's stopping you from creating kickass dashboards like this?
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B2B SaaS pricing is like..
Starter Plan: Free 🥰
Same thing but with SSO: $150,000/yr 🤑
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Rust backend, React frontend, DuckDB middleware is the future we've been waiting for.
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We abandoned data and saved hundreds of hours per month collecting insights to drive strategic decisions.
Now we just defer everything to the opinion of the highest paid person in the meeting, email chain, and slack thread. We can now make decisions in seconds, in what otherwise
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never underestimate the power of smart people doing random stuff that they feel like doing.
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There’s literally a product that does data integration within 3 seconds of latency and half the cost of your current ELT. Airlines, banks, hospitals, systematically important market utilities use it. Startups won’t use it because it doesn’t have an animal mascot. 🐸☕️
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Data streaming isn't just about 'real-time analytics' in the sense of flashing dashboards or stock tickers. An event-driven system that can incrementally process changes and publish to downstream consumers can be a game changer for scaling analytics and data-driven apps
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when vendors try to participate in data engineering twitter
...
(it's me, vendors)
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Some 19 year old kid just sailed solo across the pacific and you’re here messing with YAML
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Confirmed I’ll be speaking at both Snowflake Summit and Databricks Data and AI…we will test the limits of Las Vegas-San Francisco travel times.
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@litcapital
Do NOT ask an intern to do urgent work he’s gonna be like “yeah I’m at the gym and going to fyre festival then doing a retreat in Bali with the bros I’ll get it to you when I’m aligned.”
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We did a thing! Real-time data, CDC connectors, streaming SQL. No kafka, flink, debezium knowledge required. Start streaming millions of events for free. All your work is saved as SQL. Ok I've reached the
#vendorcontent
limit, DM me if you want a personal tour : )
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@pdrmnvd
@ebitdaddy90
I prefer paying 8% less to stay at a lux Airbnb, handwash the dishes and take out the trash. Then get in an immediate $500 dispute because the host said we forgot to rake the leaves.
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After working with multiple airlines and freight/logistics companies on building real-time CDC+streaming pipelines specifically for crew assignment, reading about this
@SouthwestAir
thing is wild. I cannot imagine why they need a manual dial-in process to see the current state
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Snowflake announces Iceberg catalog on a Monday. Databricks announces that they bought “the iceberg company” on that same tuesday. 4D chess 😅
Whoa
@databricks
just announced the acquisition of Tabular, the creators behind the Iceberg format:
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Excited to see an entire category of data dedicated to learn why you shouldn’t query prod for OLAP purposes
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Did Striim + Databricks kill the streaming database market last week 😅? Tongue in cheek comments aside, in our joint session last week we spoke about auto-incrementing materialized views derived from database change streams and SaaS application sources that surface events in an
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@alexschief
“The Anti-Gentrification Automobile Parking Alliance has sued the city for the decision on the bike rack and will file for an appeal with the Supreme Court. They claim the bike rack casts shadows on the sidewalk…”
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We saw a real data contract violation today at work. I had nothing to say. We just fixed it and moved on with our lives.
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If you want some light weekend reading, I recommend this gentle 'introduction' to Algorithms. I was able to sift through most of it over the holiday weekend.
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*whispering*
You can build your business level aggregates in the streaming layer.
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Me shipping a 6-tool MDS powered metric that prob should have just been done in a spreadsheet
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@WillManidis
Swear it’s cus the chip is broken not because my whole world became insolvent in the span of 11 days
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@rakesh_goyal
people complain that SF is boring and then get upset when the embarcadero turns into a scene from mad max.
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"our biggest problem as a data team? our data is TOO fresh. users don't like how it's so close to real time." - said no one EVER.
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Even if your reports run hourly, data streaming and change data capture is the best way to ensure accurate, transactionally consistent data the business can trust. American Airlines demonstrates this with their 'Aircraft Ops' reports that compares real-time data with historical
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standing-room only for
@_abhisivasailam
as he alchemizes graphs, recursion, and metrics into a strong mandate for data teams.
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Slack message from coworker: Hey quick question!...
Narrator: It was not a quick question.
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Please don’t say “have a good weekend” in a work setting. My capacity to process any information is limited, and you are making me context switch from professional to personal. This alone takes several cycles of mental compute. Our employment contracts already state we will pause
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Oh you want a single source of truth? Here’s a git directory with all our YAML.
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Crazy how coding interviews are changing, here's a recent experience...
Interviewer: Sort this list
me: list.sort()
them: Ok now with n log n time complexity
me: list.heapSort()
them: Ok make it faster
me: list.quickSort()
them: you failed
me: Why?
them: Not once did you ask
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Oh? We’ve never met and you want to put 30 minutes on my calendar to “pick my brain”? That sounds amazing…and mutually beneficial!
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Open Source data stacks + generated code is going to be a helluva drug.
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This is the biggest crossover in data since Pedram bought a birdfeeder.
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"Hey, I saw you up on stage advocating and praising our competitor in front of 100 people. Would you be interested in a 15 minute call with us about replacing them?" is a wild outreach but bravo for the confidence.
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A self driving electric car but it’s just a PostgreSQL extension
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Please don’t say “have a good weekend” in a work setting. My capacity to process any information is limited, and you are making me context switch from professional to personal. This alone takes several cycles of mental compute. Our employment contracts already state we will pause
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The smartest people will always ask a seemingly dumb question, forcing you to give a simplistic answer, then they will hit you with a follow-up question that dismantles every assumption you've ever made in one fell swoop.
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@thetinot
@rubinsafaya
@MuellerSheWrote
most people think s3 is just object storage but when you throw in the word cluster, it turns it into a magical thing you can run your whole 'tech stack' on.
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If a spreadsheet falls in the forest and no ones around to hear it, is it in production?
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@teej_m
Almost 8 billion people drink water, yet most people don’t know how to use it to its full potential…🧵
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Very cool to hear
@pdrmnvd
assert that 2023 is the year streaming becomes easy at
@DataCouncilAI
.
I know he dives into that topic a bit more in this blog...
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Do NOT send me an article about “snowflake data ingestion best practices”. I literally am the best practices.
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Hot take: Dagster is the React.js of data. As a former front-end dev, had a great time chatting with
@floydophone
on this topic and drawing parallels between the two frameworks.
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Some say data is a valuable asset. I say it's a huge liability. Delete all the data you have.
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Had fun making this episode of what’s new in data with
@seanjtaylor
. We dive into data science, experimentation, funnels (with SQL??) and of course mention the great
@teej_m
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I'm under pressure to put out more good tweets about data. How about I...
"select * from ideal_clean_table_of.good_tweets;"
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