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This is an unclaimed, auto-generated listing. It was built only from Data Engineering Daily’s publicly available YouTube information. Data Engineering Daily has not claimed, verified, or endorsed it, and is not affiliated with, sponsored by, or a partner of SocialDB — no partnership or endorsement is implied, and any prices shown are estimates, not set by the creator.
Subscribers
87
Total Views
7.3K
Videos
38
Channel age
0 yrs
Known for
799 views
Unity Catalog in Databricks #databricks #interviewquestions #learnwithdataengineer #shorts
444 views
Data Skew in Spark Explained 🔥 | How to Detect & Fix Data Skew #databricks #pyspark #interviewprep
431 views
Managed vs External tabels in databricks #learnwithdataengineer #pyspark #interview #questions
430 views
Databricks Interview Question: All-Purpose Cluster vs Job Cluster | Easy Explanation #databrick
▶️ Featured Video
407 views
📈 Growth momentum
ExplodingSubscribers · last 30 days
+55 +275%
Adding subscribers faster than most channels this size — momentum a brand can ride.
Last 7 days
+15
The most recent week — the freshest read on where subscriber growth is heading.
🎯 Reach quality
Subscriber activation · Exceptional
212.6%
Share of subscribers who watch a typical recent video (avg views ÷ subscribers) — the real reach behind the subscriber count, and a quick check on whether those subscribers are still active rather than a vanity number.
Reach consistency · Consistent
63/100
How steady views are across recent videos (typically 83–174) — a predictable floor a sponsored video can count on.
📈 Performance
Typical video
83–174 views
Median 117 — the reliable floor a brand can expect, not just the headline average.
Upload rhythm
2.2× / week
Most active on Wednesdays — consistent output keeps an engaged, sponsor-ready audience.
185
Avg views / video
6
Avg likes
1
Avg comments
2.2
Uploads / week
193
Lifetime avg / video
84
Views / subscriber
72%
Shorts (recent views)
7m 18s
Typical video length
🗓️ Posting schedule
M
T
W
T
F
S
S
Most uploads land on Wednesdays · about 2.2 / week — time a launch or drop to ride the channel's own rhythm.
▶️ Top videos
✓ Official statsRecent uploads · views
Sep 2026latest
💡 Facts
🗓️Joined YouTube in 2026.
🏆Ranked #185,616 among all influencers on SocialDB.
🎯Top Lifestyle (sociology) influencer — #6,339 in the niche.
👁️Averages 185 views per video.
📤Posts about 2.2× per week.
🚀Gained 15 subscribers in the last 7 days.
📍Based in India.
💚 Brand affinity
EstimatedBrands Data Engineering Daily's audience is most likely to respond to — from detected sponsorships in this niche.
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About
Welcome to my Data Engineering learning journey! 🚀
Here you will find practical explanations of Databricks, Spark, PySpark, Scala, SQL, and cloud data technologies. I share concepts, real-time scenarios, and interview-focused content to help you understand modern data engineering in a simple way.
You can reach out to me at :
Let’s learn, build, and grow together! 💡
📸 Gallery
Recent videos
SCD Type 1 vs SCD Type 2 in Databricks | Delta Lake MERGE | Practical Demo
72 views · 14 days ago
Databricks Job Scheduling & Alerts | Configure Success and Failure Notifications #interview #videos
214 views · 17 days ago
Day 3 🔥 5 Types of SQL Commands Explained with Examples | SQL Interview Questions #shorts
97 views · 19 days ago
SparkSession vs SparkContext in PySpark #apachespark #interview #questions #shorts
130 views · 21 days ago
🔥 Databricks: Write a Single CSV File with a Custom Name! #shorts #interview #questions
133 views · 25 days ago
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106 views · 1 month ago
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213 views · 1 month ago
How to Reduce Databricks Cost in Production? #databricks #pyspark #interview #questions #shorts
319 views · 1 month ago
Data Skew in Spark Explained 🔥 | How to Detect & Fix Data Skew #databricks #pyspark #interviewprep
444 views · 1 month ago
Databricks Interview Question: All-Purpose Cluster vs Job Cluster | Easy Explanation #databrick
430 views · 1 month ago
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