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Channel

Базы данных | Access, SQL, Big Data

@databases_secrets

On this record: Topic · Growth · Engagement · What this channel posts · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry

30,086subscribers

-60 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001247460025
TypeChannel
Username@databases_secrets
DescriptionВсё о базах данных простым языком. Сотрудничество: @max_excel РКН: vk.cc/cHhG5h
Created19 October 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live4 October 2026
Measurements held33
Confirmed unchanged1 time, most recently 4 October 2026
On Telegramt.me/databases_secrets

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 69% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

30,00230,16830,0856 August 2026 — 30,146 subscribers6 August 2026 — 30,146 subscribers8 August 2026 — 30,139 subscribers9 August 2026 — 30,168 subscribers10 August 2026 — 30,166 subscribers12 August 2026 — 30,158 subscribers14 August 2026 — 30,153 subscribers16 August 2026 — 30,151 subscribers17 August 2026 — 30,149 subscribers18 August 2026 — 30,142 subscribers19 August 2026 — 30,137 subscribers20 August 2026 — 30,136 subscribers21 August 2026 — 30,124 subscribers22 August 2026 — 30,120 subscribers24 August 2026 — 30,104 subscribers25 August 2026 — 30,100 subscribers26 August 2026 — 30,091 subscribers27 August 2026 — 30,085 subscribers28 August 2026 — 30,075 subscribers29 August 2026 — 30,071 subscribers30 August 2026 — 30,067 subscribers1 September 2026 — 30,063 subscribers2 September 2026 — 30,057 subscribers3 September 2026 — 30,049 subscribers5 September 2026 — 30,038 subscribers9 September 2026 — 30,018 subscribers11 September 2026 — 30,059 subscribers13 September 2026 — 30,066 subscribers15 September 2026 — 30,056 subscribers16 September 2026 — 30,035 subscribers19 September 2026 — 30,034 subscribers26 September 2026 — 30,002 subscribers4 October 2026 — 30,086 subscribers30,0866 August 20264 October 2026
33 measurements spanning 59 days, net -60. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 29,977–30,193 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
4 Oct 2026, 17:0130,086+84
26 Sept 2026, 15:3730,002-32
19 Sept 2026, 12:2130,034-1
16 Sept 2026, 23:4130,035-21
15 Sept 2026, 04:0130,056-10
13 Sept 2026, 12:0030,066+7
11 Sept 2026, 18:3630,059+41
9 Sept 2026, 04:3830,018-20
5 Sept 2026, 21:1630,038-11
3 Sept 2026, 21:1530,049-8
2 Sept 2026, 11:1730,057-6
1 Sept 2026, 13:4330,063-4
30 Aug 2026, 12:3530,067-4
29 Aug 2026, 11:1730,071-4
28 Aug 2026, 11:5630,075-10
27 Aug 2026, 09:1130,085-6
26 Aug 2026, 08:5430,091-9
25 Aug 2026, 08:5330,100-4
24 Aug 2026, 11:0730,104-16
22 Aug 2026, 20:0230,120first reading

Engagement

98 posts held, back to 12 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 103 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.05%
avg views ÷ 30,086 subscribers
Avg views / post
1,520
38 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
38
of 98 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 October 2026
Posts held98 (12 July 2026 – 7 October 2026)
Views total57,749
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Oct 2026, 23:48 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
256
Videos
97
Links
397

Lifetime counters from Telegram’s own channel header, read 7 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
11h 15m
Average length
33m 45s

Measured directly from 20 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Advertising

Ad load
5.10%
5 of 98 posts carry an ad marker
Regulatory tokens
5
posts carrying an erid · 5 distinct tokens
Median views · ads
1,270
over 5 measured posts
Median views · rest
1,780
over 93 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VtzquuHE37118 August 202618 August 2026
2VtzqvwZuK1120 August 202620 August 2026
2W5zFGXCtyo123 September 202623 September 2026
2W5zFJjEQVf129 September 202629 September 2026
2W5zFJrnN6u118 August 202618 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 98 most recent posts we hold, published 12 July 2026 to 7 October 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

7 Oct 2026, 15:10 UTC501 viewsread 7 October 2026
Photo

Организуем High Availability PostgreSQL Чтобы система долго работала без сбоев и перерывов, нужно поработать над отказоустойчивостью. В этой статье автор даст несколько способов её построить и покажет готовое решение. Базы данных

7 Oct 2026, 13:01 UTC712 viewsread 7 October 2026
Photo

Яндекс открыл исходный код YTsaurus Flow — фреймворка для потоковой обработки данных Он обрабатывает события по мере поступления, а не ждёт, пока они накопятся для пакетной обработки. Инфраструктурную часть фреймворк берёт на себя: долгосрочное состояние хранит в динамических таблицах YTsaurus, а число партиций для каждого этапа подбирает автоматически и сам перераспределяет нагрузку между машинами. Код открыт под A…

5 Oct 2026, 16:22 UTC≈1,150 viewsread 7 October 2026
Video

Разработка баз данных: Интервью 0:17:38 Программист под Oracle и PL/SQL 0:20:13 Согласованность данных 0:25:38 Тесты в БД 0:28:55 API в базах данных 0:31:17 Хранение кода и системы контроля версий 0:33:38 CI & CD 0:40:00 Про администраторов баз данных (DBA) 0:42:47 Как происходят вмешательства в базу 0:49:13 Кодревью 0:58:04 Про бэкапы 0:59:07 Инструменты 1:01:53 Задачи в ритейле 1:06:28 Работа с больши…

5 Oct 2026, 10:20 UTC≈1,160 viewsread 7 October 2026
Photo

Организация хранения исторических данных в Oracle В этой статье автор разберет разные способы организации хранения исторических данных в Oracle. Под историческими данными будем понимать историю (лог) изменения данных в таблице. Базы данных

5 Oct 2026, 08:07 UTC≈1,190 viewsread 7 October 2026
Photo

Как оплачивать зарубежные сервисы в 2026 году? Можно бегать между посредниками и бояться блокировок после оплаты, а можно выпустить международную карту Lumio Pay и пользоваться любимыми сервисами без рисков. — выпуск карты за 2 минуты — лучший курс пополнения на рынке (у конкурентов на 20% выше) — пополнение рублями или криптой — чистые BIN карт, оплата без риска блокировок Пока все ищут идеальное решение, оно у т…

3 Oct 2026, 09:45 UTC≈1,530 viewsread 7 October 2026
Video

Основы SQL В этом ролике автор рассматривает на практике работу с основными командами языка запросов SQL. 00:00 Подготовка базы данных 04:36 Выбор данных (SELECT) 08:30 Указание текущей базы данных 09:58 Чувствительность к регистру 12:14 Выбор определенных колонок 15:28 Фильтрация с помощью WHERE 20:59 Фильтрация с И и ИЛИ 26:38 Поиск строки по шаблону 29:18 Свой среди чужих 31:26 NULL когда данные отсутс…

3 Oct 2026, 07:30 UTC≈1,370 viewsread 7 October 2026

​​Хочешь быстро подтянуть свои знания в Excel и Google Sheets? Устал собирать информацию по крупицам? Тогда самое время воспользоваться специальным онлайн-курсом от Skillbox: «Excel + Google-таблицы с нуля до PRO», который научит тебя всем необходимым навыкам. Ты получишь: • Обучение, основанное на практике; • Общение с наставником; • Скидку 50%; 🎁 • Курс PowerPoint в подарок; • Вечный доступ к курсам; • Возможност…

1 Oct 2026, 16:10 UTC≈1,520 viewsread 7 October 2026
Photo

Как мы продукт на PostgreSQL переводили В этой статье автор поделится своими наработками как научить приложение работать с СУБД PostgreSQL и провести первую миграцию боевой системы. Базы данных

1 Oct 2026, 14:02 UTC≈1,570 viewsread 7 October 2026
Video

Как ХК «Авангард» автоматизировал бизнес-аналитику? После переезда на новую арену у клуба вырос объём данных о продажах билетов, кейтеринге и мерчандайзинге. Чтобы оперативно работать с этой информацией, «Авангард» автоматизировал отчётность и построил дашборды на Yandex DataLens и Yandex Cloud. Теперь бизнес-пользователи могут практически в реальном времени анализировать фактический спрос и сравнивать его с прогноз…

30 Sept 2026, 17:35 UTC≈1,480 viewsread 7 October 2026
Photo

Деревья ltree в PostgreSQL – простым языком В этой статье автор подробно разберет иерархические деревья ltree в PostgreSQL и расскажет о базовых приёмах извлечения данных из таких деревьев. Базы данных

29 Sept 2026, 15:40 UTC≈1,470 viewsread 7 October 2026
Video

Основы работы в Oracle SQL Developer В этом видеоуроке автор подробно и наглядно разбирает основы работы с бесплатной визуальной средой разработки Oracle SQL Developer, а также основные преимущества и недостатки использования данной среды. Смотреть это видео на youtube: youtu.be/yZHAI9wfaE0

Showing the 12 most recent of 98 posts we hold for @databases_secrets. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 11 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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Read from Telegram’s recommendation API, most recently 7 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

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@python_secrets · 40,572
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@ba_sa_analytics · 52,250
Telegram ranks this channel #4 of 90 here — alongside 89 others — read 24 August 2026
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@fin_analytics · 41,525
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Telegram ranks this channel #5 of 79 here — alongside 78 others — read 27 August 2026
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Telegram ranks this channel #10 of 97 here — alongside 96 others — read 24 August 2026
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This channel appears in 21 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 4 October 2026 — this entry's latest reading, not the date you are reading this.

“Базы данных | Access, SQL, Big Data” (@databases_secrets), 30,086 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/databases_secrets.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.