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Data Engineering & AI | Apache Spark

@ApacheSparkDevelopers

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

7,637subscribers

+56 since we began measuring on 14 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001250581501
TypeChannel
Username@ApacheSparkDevelopers
DescriptionThis channel is created for beginner in Bigdata Engineer, Apache Spark Developers for knowledge sharing and Projects (Blog,Paid and Free Course)
CreatedBetween 1 March 2018 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live22 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 22 August 2026
On Telegramt.me/ApacheSparkDevelopers

Growth

7,5807,6377,608.514 August 2026 — 7,581 subscribers15 August 2026 — 7,580 subscribers18 August 2026 — 7,619 subscribers22 August 2026 — 7,637 subscribers14 August 202622 August 2026
4 measurements spanning 8 days, net +56. 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 7,571–7,646 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 08:087,637+18
18 Aug 2026, 19:577,619+39
15 Aug 2026, 20:277,580-1
14 Aug 2026, 19:467,581first reading

Engagement

24 posts held, back to 4 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 5 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
7.14%
avg views ÷ 7,637 subscribers
Avg views / post
546
20 posts measured
Reaction rate
0.267%
reactions ÷ views · ER floor
Posts in window
24
of 24 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. It is computed over the 5 of 20 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 19 August 2026
Posts held24 (4 August 202619 August 2026)
Views total10,913
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 21:06 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
7
Links
84

Lifetime counters from Telegram’s own channel header, read 22 August 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.

Reaction mix

7 reactions across 5 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
7100.0%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 5 of the 24 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 7reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 4 August 2026 to 19 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

19 Aug 2026, 06:08 UTC354 viewsread 22 August 2026

🐍 FREE Python Course on YouTube! 🎓 Dear Students, Want to learn Python from scratch and build a strong foundation in programming? 🚀 We have a FREE Python course designed especially for beginners. Whether you're interested in Software Development, Data Engineering, Data Analytics, AI, or Machine Learning, Python is an incredibly valuable skill to have. 💡 Why learn Python? ✅ Easy-to-learn and beginner-friendly ✅ W

18 Aug 2026, 04:39 UTC408 views3 reactionsread 22 August 2026

🚀 Want to build a real-time streaming data pipeline from scratch? If you are looking to level up your Data Engineering portfolio, check out our hands-on project guide: Clickstream Behavior Analysis with Dashboard. In this comprehensive walkthrough, you will learn how to integrate a modern big data stack: 🔹 Apache Kafka for streaming events 🔹 Apache Spark for real-time processing 🔹 MySQL for structured storage 🔹 Apa

3

17 Aug 2026, 07:23 UTC434 viewsread 22 August 2026

🎁 FREE Udemy Course — Apache Hadoop & MapReduce Interview Questions & Answers Preparing for a Big Data or Data Engineering interview? 🚀 Get my Apache Hadoop & MapReduce Interview Questions & Answers course FREE on Udemy. 📚 12+ hours of content 🎯 120+ interview questions 💻 131 lectures ⚙️ HDFS, YARN & MapReduce 🚨 Troubleshooting & performance tuning 🔥 Scenario-based interview questions 🎁 FREE Coupon: https://www.u

15 Aug 2026, 05:35 UTC564 viewsread 22 August 2026

🚀 Optimize Distributed Database Queries Like a Pro! 📊 Working with distributed databases? Query optimization can make a huge difference in performance, scalability, and resource usage. In this guide, learn practical techniques to optimize queries and improve performance in distributed database environments. ⚡️ 👉 Read the complete guide: A Guide to Query Optimization in Distributed Databases Perfect for Data Engineers

14 Aug 2026, 06:11 UTC590 views1 reactionsread 22 August 2026

🚨 Remote Job Opportunity | Senior Engineer – Data Scraping & Python Engineering 🐍 🏢 Company: Forage AI 💼 Role: Senior Engineer – Data Scraping & Python Engineering 🌍 Location: Remote 🔹 Requirements: • 5–7 years of software engineering experience, including meaningful team/project leadership • Expert-level Python — async/concurrency, memory management, packaging & maintainable code • Production experience with Scrapy,

1

14 Aug 2026, 04:44 UTC518 viewsread 22 August 2026

Data Engineers — stop Googling regex every 5 minutes. Free Data Engineer's Regex Cheat Sheet: Core syntax & quantifiers Patterns for IPs, emails, timestamps Examples in Python, PySpark & SQL https://www.smartdatacamp.com/products/The-Data-Engineers-Regex-Cheat-Sheet-69d5f4c894eace66c7e3d68c #DataEngineering #Regex #ETL

13 Aug 2026, 04:11 UTCviews —

Data Engineering & AI | Apache Spark pinned «🚀 Welcome to Data Engineering & AI! Here you'll find: 🔹 Data Engineering & Big Data tutorials 🔹 Apache Spark projects 🔹 AI & Machine Learning resources 🔹 Remote Data Engineering jobs 🔹 Interview questions & career tips 🔹 Free tutorials and learning resources…»

13 Aug 2026, 04:11 UTC538 views1 reactionsread 22 August 2026

🚀 Welcome to Data Engineering & AI! Here you'll find: 🔹 Data Engineering & Big Data tutorials 🔹 Apache Spark projects 🔹 AI & Machine Learning resources 🔹 Remote Data Engineering jobs 🔹 Interview questions & career tips 🔹 Free tutorials and learning resources 🔹 Affordable hands-on courses 🎯 Learn. Build. Get Job-Ready. 👇 Explore our latest resources and projects.

1

12 Aug 2026, 07:05 UTC633 viewsread 22 August 2026

Mitra AI is Hiring Data Support Engineer Location: Remote Key Responsibilities 1. ETL Build Monitoring & Incident Management 2. Client-Facing Ticket Management & Communication 3. Access Management & user support 4. Compute Cost & Warehouse Safeguards 5. Basic Query Debugging & Escalation LinkedIn Apply: https://acesse.one/isioz3e

12 Aug 2026, 07:00 UTCviews —

Channel name was changed to «Data Engineering - AI Engineer - Apache Spark Projects Blog (Bigdata Analytics, Machine Learning) and Courses (Paid and Free)»

12 Aug 2026, 05:09 UTC563 viewsread 22 August 2026

🔥 FREE Apache Hive Interview Preparation Course — Limited Time! Preparing for a Data Engineer / Big Data / Hadoop interview? 🚀 I'm offering my Apache Hive Interview Questions & Answers (100+ FAQ) course FREE for a limited period. 🎯 You’ll learn: ✅ 140+ Hive Interview Questions ✅ Hive Fundamentals & Architecture ✅ Partitions & Bucketing ✅ Query Optimization & Performance Tuning ✅ ORC, Parquet & SerDe ✅ Hive Metasto

Showing the 12 most recent of 24 posts we hold for @ApacheSparkDevelopers. 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.

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.

Data Analytics
@sqlspecialist · 110,775
Telegram ranks this channel #48 of 83 here — alongside 82 others — read 14 August 2026
Python Programming Books
@dsabooks · 59,037
Telegram ranks this channel #59 of 89 here — alongside 88 others — read 22 August 2026
SQL Programming Resources
@sqlanalyst · 76,646
Telegram ranks this channel #63 of 85 here — alongside 84 others — read 19 August 2026
Data Analyst Jobs
@jobs_SQL · 91,192
Telegram ranks this channel #65 of 86 here — alongside 85 others — read 17 August 2026

This channel appears in 4 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 22 August 2026 — this entry's latest reading, not the date you are reading this.

“Data Engineering & AI | Apache Spark” (@ApacheSparkDevelopers), 7,637 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/ApacheSparkDevelopers.

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.