UA

Data Battle: RDBMS vs NoSQL

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Data Battle: RDBMS vs NoSQL

Date: 25 / 2 / 25
Time: 18:30
Registration: Until February 25, 15:00

hello

In 2006, British entrepreneur Clive Humby declared, “Data is the new oil.” And in 2017, The Economist picked up on the idea that the most valuable resource for humanity is in fact information. The evidence is everywhere: tech giants like Nvidia, Apple, and Google easily outrun oil behemoths in market capitalization.

But what do we actually do with all that data? How do we store it as volumes keep on growing? When should we choose a relational database, and when is noSQL the right call? And how can we integrate AI so it delivers benefits rather than “devouring” our resources?

at this meetup, we’ll dive into

The differences between structured, semi-structured, and unstructured data
Transactional vs. analytical processing: when to apply each
ACID vs. CAP: why these abbreviations matter so much if you want to avoid “locking up” your system
How to build data warehouses using the Kimball or Inmon approaches—and when to choose Star vs. Snowflake
noSQL, non-relational databases, and BASE: what they are and when denormalization is needed
Partitioning and Sharding: how to scale without losing performance
Can AI speed up or reduce costs for data operations?

speaker

Maksym Ivashura

Experienced database/data warehouse and business intelligence engineer with over 30 years of professional background in manufacturing and outsourcing sectors. Currently works at Trinetix, where he also serves as a mentor and technical interviewer. Maksym is the author of the StoreOff accounting system and has extensive experience with various database management systems, including MS SQL Server (as well as SSAS, SSIS), Azure DB, PostgreSQL, Redshift, Snowflake, MySQL, Oracle, SQLight, MongoDB, Redis, Cassandra, and less conventional systems such as Firebird/InterBase, MS Access, DBase, DataEase, and DuckDB. Based in Kharkiv, Ukraine, and Málaga, Spain.

who will benefit

Students, interns, and junior developers who want to confidently navigate database fundamentals
Managers, business analysts, and project leads who need to understand what’s “under the hood” in order to set tasks and allocate resources effectively
Developers eager to speak the same language as DBAs without fearing the “scary” word “denormalization”
Anyone who likes to stay at the forefront of technology and wonders how AI can fit into data operations

From you: A click on the “Register” button
From us: A link to the event in Telegram—and a roadmap so you won’t drown in the “ocean” of data

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