Tyler Hillery
@_TylerHillery
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Data Engineer @supabase ⚡, Data Systems, Previously @Nasdaq
Scottsdale, AZ
Joined March 2012
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Today is my first day as Data Engineer
@supabase
! I'm thrilled to be joining an incredible team with a great mission. I can't wait to start contributing.
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Installed packages in your global Python environment by mistake, like I just did... Run pip sync with a blank requirements.txt to clean it up
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There is something interesting going on in the data industry right now. Malloy, dbt, SQLGlot, Ibis, Substrait, Modin, Fugue, Coral are all basically SQL compilers
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Perfect travel reading material. I’m halfway through and really liking it. I love the focus on data engineering as a discipline opposed to a tech stack.
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I've been at Supabase for 2 months and I already released a demo with DuckDB. My plan is going accordingly...
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Fun side project I have been working on. Visualizing Coinbase order book depth in real time (powered by
@redpandadata
+
@MaterializeInc
+
@getdbt
+
@streamlit
)
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Super excited to share a side project I've been working on called RePort ⚖️ A portfolio rebalancing tool for investors powered by
@duckdb
&
@streamlit
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@chris_girard13
I was wondering why people were liking this tweet again
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I have been using anti-joins a lot lately to understand entity relationships
Left Anti-Join answers the question "what records are in tbl_a but not tbl_b?"
Full Outer Anti-Join answers the question "what records are in tbl_a or tbl_b but are not in both?"
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DuckDB got snubbed
DBMS of the Year
1. PostgreSQL
2. Databricks
3. Google BigQuery
@PostgreSQL
@databricks
@googlecloud
#PostgreSQL
#Databricks
#BigQuery
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The Materalize + dbt flow where you run dbt just once only after you modify something is how all analytics code should work. That would be the dream.
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The ceiling is being raised. cursor's copilot helped us write "superhuman code" for a critical feature. I can read this code, but VERY few engineers out there could write it from scratch.
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My requested 'dbt show' command will be in the dbt Core 1.5 release! So cool to see my feedback taken in and implemented.
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My biggest ZIRP moment was when someone paid me $700 to talk about DuckDB for an hour, those were the days
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Just saw a chick throw out all the rye chips from a Gardetto's bag... We live in one messed up world
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Yesterday marked my last day at Nasdaq. It was a bittersweet moment but I had an exciting opportunity that I couldn't pass up. Looking forward to sharing what's next for me soon!
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Left image is me in my first data role and right image is me now.
Take from this what you want.
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Highly recommend listening to this talk on metric trees by
@_abhisivasailam
. I have been implementing some of these ideas ever since I heard of it and it has been a game changer in understanding my team's data needs.
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Lot of people asked for a blog post about this. Here it is!
Fun side project I have been working on. Visualizing Coinbase order book depth in real time (powered by
@redpandadata
+
@MaterializeInc
+
@getdbt
+
@streamlit
)
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Got married and moved across the country this pass week.
(yes, I know I married up)
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Connecting to Snowflake with the newly released Harlequin ADBC adapter.
Stills blows my mind how responsive Harlequin is even when displaying millions of rows.
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I’m going to try
#AdventOfCode
for the first time this year! Anyone have any tips?
🌟 Seven days until
#AdventOfCode
2022! 🌟
Please buckle your IDE and keep your arms and legs inside your programming language(s) of choice until the puzzles come to a complete stop.
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Just published my first ever python package on PyPI, I feel so accomplished
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I'm happy with the progress I have been making on a personal project of mine. Building a data pipeline using modern data stack tooling. Shout-out to
@dagsterio
&
@AirbyteHQ
for the awesome docs!
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I have watched several videos on what is DuckDB and this one is by far my favorite
@europython
The recording of Pedro Holanda's talk “DuckDB: Bringing analytical SQL directly to your Python shell” at
@EuroPython
2023 is now available.
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I just wanted to thank everyone for their thought & prayers for our mom. We appreciate the support & we know her spirit will live on forever
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3 years ago I was in the worst shape of my life. I gained 30lbs in 6 months after my marathon race was cancelled because of COVID-19.
Now I am in the best shape of my life & have completely changed my lifestyle.
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Thank you DuckDB
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Has anyone checked in on
@holanda_pe
? The man has been grinding at making DuckDB csv reader best in class.
I mean look at what people are trying to read with it.
I just want to make sure he is okay.
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Exploring GitHub repos is one of my favorite learning methods.
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Microsoft Access, VBA, SQL is how I was first introduced into the data world. It may sound like I am dating myself but this was just 4 years ago.
Had the pleasure today of debugging an inherited mess of dynamic SQL, wrapped in VBA, inside Microsoft Access.
Thank goodness there were code comments - from February 2001.
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Thank god Facebook reminded me or else I would have forgot jk love you brother
http://t.co/QtYvbqv7gx
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I really like this article by
@s_ryz
about partitions. Having the ability to run & especially rerun your pipelines on specific partitions is extremely useful.
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I am excited to announce that I will begin a new role as an Analytics Engineer
@Nasdaq
starting next week! 🥳
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I highly recommend checking out WSL if you’re a windows user
This is MASSIVE. The Windows Subsystem for Linux in the Microsoft Store is now generally available on Windows 10 and 11! Windows 10 users can now run Linux GUI apps natively!
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Waste Management Phoenix Open is as wild as they say it is
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The Apache Arrow ecosystem can be confusing, this is another great article explaining how the various components fit together (Arrow, Arrow Flight, Arrow Flight SQL, DataFusion)
Here is my latest propaganda blog post about the merits of using Arrow / Flight / DataFusion / Parquet to build data systems like
@InfluxDB
3.0:
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Linting ✅
Formatting ✅
Package Installer ✅
What's next? My guess is type checker
Announcing uv: an extremely fast Python package installer and resolver, written in Rust.
uv is designed as a drop-in alternative to pip, pip-tools, and virtualenv.
With a warm cache, uv installs are near-instant. Here, it's > 75x faster than pip and pip-tools.
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It would be cool if dbt jobs would automatically skip over models that are materialized as views or MVs unless they were modified since last run. There is no need to recreate a view if the underlying SQL hasn't changed.
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I’m watching all the
@normconf
talks this weekend. If I were to use one word to describe the conference it would be REAL 🔥
Real people
Real work
Real problems
Real solutions
All the talks are on their YouTube channel!
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@arungupta
Lot of interesting data projects all use C++
-
@duckdb
-
@redpandadata
-
@ApacheArrow
-
@ClickHouseDB
-
@ScyllaDB
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@VicVijayakumar
Make sure to keep your medical bill receipts! No time frame is enforced into how long you wait to use your HSA funds on a medical bill
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Over the moon right now. I will have exciting news to share soon
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With all these Wausau West victories today I believe we need to celebrate with a day off of school
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Your girl can't be disappointed in her Valentines day gift if you don't get her anything
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cal's special announcement for April 15th is just a calendar reminder for people in the US to submit their taxes
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OLTP data folks rite of passage is dropping a prod table
OLAP data folks rite of passage is writing an expensive query
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Best explainer on Arrow Flight, Arrow Flight SQL, & ADBC
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I'm very intrigued by this trend of "local-first software"
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Stream processing space is getting interesting. Couple of projects worth keeping an eye on.
-
@MaterializeInc
-
@Decodableco
-
@striimteam
-
@bytewax
🎉 We’re excited to share our intent to acquire
@Immerokcom
!
Together, we’ll build a cloud-native service for
@apacheflink
that delivers the same simplicity, security, & scalability that you expect from Confluent for Kafka.
Learn more →
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@kellabyte
I feel like
@tembo_io
is trying to solve this. They help deploy Postgres "stacks" customized for specific use cases e.g. OLTP, OLAP, Vector, Message Queue
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All data tools cave and add the pie chart. It can't be stop.
To all the analysts out there, I’m sincerely sorry. I had no choice.
For everyone else, here you go.
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Grateful to be on such a great team! We got second place in conference and now it's time for playoffs! 😈🏀
#family
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The amount of columnar parallel vectorized query execution engines is too damn high
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I grew up on these streets
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