> can you write a new Radiohead song about data lineage?

Verse 1:
I’m tracing the data lineage
From its source to where it ends
Every table and column
Every join and every blend

Chorus:
I’m on the path of data lineage
Following the trail of bits and bytes
Through the labyrinth of technology
Where the truth of data lies

Verse 2:
I’m chasing the data lineage
From the past to the present tense
Every calculation and transformation
Every rule and every exception

Chorus:
I’m on the path of data lineage
Following the trail of bits and bytes
Through the labyrinth of technology
Where the truth of data lies

Bridge:
I see the patterns and the connections
I see the errors and the corrections
I see the beauty and the complexity
Of the data lineage

Outro:
I’m on the path of data lineage
Following the trail of bits and bytes
Through the labyrinth of technology
Where the truth of data lies.

{
    "data": "beeline meetup: data engineering tools",
    "details": {
        "date": "December, 20",
        "time": "17:00 GMT+3",
        "place": "online"
    }
}

We will discuss creating end-to-end logs, working with Apache NiFi and Apache Flink at the free meetup from beeline and JUG Ru Group.

Registration

> So increasing speed up to 4 times of both in-memory and on-disk sorts in version 15 is one of the main reasons to upgrade.

https://supabase.com/blog/new-in-postgres-15

> Hey, Openai. I need a remote Oracle developer job vacancy text in Uzbekistan, but in a funny manner

Sure! Here's a funny way to present a job vacancy for an Oracle developer:

"Attention all Oracle wizards and coding gurus! Are you tired of the daily grind and ready for a change? Then come join our team of tech rebels and take control of your career! As a remote Oracle developer at our company, you'll have the chance to work on exciting projects, showcase your SQL skills, and even participate in our monthly virtual baking contests (because who doesn't love baked goods?). Plus, you'll get to work from the comfort of your own home, so you can wear your favorite pajamas all day if you want (we won't judge). So, if you're ready to say goodbye to the boring 9-to-5 and join a company that values creativity and fun, apply now! And don't forget to include your favorite joke involving a database in your application (extra points for jokes in Uzbek)."

PS: the vacancy is real, but it is better to check the conditions with @zx_Xander (or email: alex@cusdev.me)

History's wheel has come full circle. Hipsters invented "on premise software". Thoughts?


https://thenewstack.io/private-saas-a-new-paradigm/

here we go again

DBMS of the Year
1. Snowflake
2. Google BigQuery
3. PostgreSQL

https://db-engines.com/en/blog_post/103

Запилили балалайку, которая позволяет исправлять и объяснять ошибки с помощью GPT-3.

1. Вставляем код
2. Вставляем текст ошибки
. . .
5. PROFIT11!!!

An AI-powered debugger
https://github.com/shobrook/adrenaline/

Попробовать тут
https://useadrenaline.com/playground

Обсуждение на Reddit
https://www.reddit.com/r/MachineLearning/comments/106q6m9/p_i_built_adrenaline_a_debugger_that_fixes_errors/

Remember these guys?

The guys from Unum have spent 2022 polishing their Key-Value Store, integrating SPDK, and starting an Open-Source ecosystem around it! The project UKV brings a shared compatibility layer between LevelDB, RocksDB, and their persistent and in-memory Key-Value Stores, some of which are also public.

- UKV can wrap any one of those Stores into a Standalone server with an Apache Arrow Flight RPC protocol, making it available across the network.

- Similar to Redis, with RedisGraph, RedisJSON, and RediSearch, UKV add supports for Graphs, Documents, and Vectors/Features. Unlike Redis, you still get ACID transactions and Strictly Serializable Consistency Guarantees. Document collections, for example, support JSON, BSON, MessagePack, and contents, as well as JSON-Pointer, JSON-Patch, and JSON-MergePatch RFC standards. Also, with the Embedded variant, you don't have to pay for Networking.

- UKV also brings structured bindings for high-level bindings. Python Graph bindings, for example, look like NetworkX. Python Tabular interface aims to become compatible with Pandas over time. In both cases, the query will operate on the entire dataset stored on disks, which can reach 100 TB+.

In 2023 guys are promising to work on replication and sharding, so stay tuned!

Designing the fastest ACID Key-Value Store / Ashot Vardanian (Unum cloud): https://www.youtube.com/watch?v=ybWeUf_hC7o

PS: The author is among us, you can ask questions in the comments to this post