deepakunique Profile Banner
Deepak Goyal Profile
Deepak Goyal

@deepakunique

Followers
6K
Following
538
Media
111
Statuses
1K

Azure Cloud Advocate โ€ข My tweets will help you get into tech and be an amazing Data Engineer โ€ข 210K+ Audience on LinkedIn โ€ข Check my Online Courses๐Ÿ‘‡

My Work & Website
Joined November 2009
Don't wanna be here? Send us removal request.
@deepakunique
Deepak Goyal
2 years
Hi, I'm Deepak and I share daily knowledge about:. ๐Ÿ’ป Azure Cloud Solution.๐Ÿ† Microsoft Azure technologies.๐Ÿ“ฆ Technical Blogs.โšก Productivity tips.๐Ÿ’ผ Career development.๐ŸŽ‰ Azure certifications.๐Ÿš€ Technical queries and challenges. If you want to learn, make sure to follow me! โœ….
4
2
68
@deepakunique
Deepak Goyal
5 hours
Answer:.Ask this question to either guardian:. ๐Ÿ‘‰ "If I were to ask the other guardian which door leads to Heaven, what would they say?".Then go through the opposite door of what they say. In both cases, youโ€™re being misdirectedโ€”so the correct path is the opposite.
0
0
0
@deepakunique
Deepak Goyal
5 hours
โœ… *100 Days SQL Roadmap โ€“ 2025* ๐Ÿ—ƒ๏ธ๐Ÿง  .๐Ÿ•’ Daily: 1โ€“2 hours + practice on real datasets. ๐Ÿ“ *Days 1โ€“10: SQL Basics* .๐Ÿ“ *Days 11โ€“20: Filtering & Sorting* .๐Ÿ“ *Days 21โ€“30: Functions & Expressions* .๐Ÿ“ *Days 31โ€“40: GROUP BY & Aggregates* . ๐Ÿ“ *Days 41โ€“50: Joins Mastery*.
0
0
2
@deepakunique
Deepak Goyal
10 hours
Stream Processing with Apache Flink. ๐ŸŒŠ Real-time powerhouse for stateful computation. Event Time vs Processing Time . Tumbling / Sliding / Session Windows . Checkpointing & Savepoints . Stateful functions = dynamic pipeline logic. Use for: Fraud detection, user activity.
0
0
3
@deepakunique
Deepak Goyal
1 day
โœ… *5 Power BI Projects for Beginners* ๐Ÿ“Š๐ŸŸก.1๏ธโƒฃ *Sales Dashboard* .2๏ธโƒฃ *Customer Analysis Report*.3๏ธโƒฃ *HR Analytics Dashboard*.4๏ธโƒฃ *Financial Statement Report*.5๏ธโƒฃ *Social Media Performance Dashboard* . *Tip:* Use sample datasets from Kaggle, mock Excel files. ๐Ÿ’ฌ *Tap โค๏ธ for more!*.
0
0
1
@deepakunique
Deepak Goyal
1 day
PS: To change your perspective towards growth, surround yourself with people who are actually growing.
Tweet media one
0
0
2
@deepakunique
Deepak Goyal
2 days
Heaven or Hell Door .You arrive at two doors: one leads to Heaven, the other to Hell.Each door has a guardian: one always tells the truth, the other always lies. You donโ€™t know who is who. You can ask only one question to one guardian. What do you ask to find the door to Heaven?.
1
0
1
@deepakunique
Deepak Goyal
3 days
๐—ฆ๐—ฒ๐—พ๐˜‚๐—ฒ๐—ป๐—ฐ๐—ฒ & ๐—–๐—ผ๐—น๐—น๐—ฒ๐—ฐ๐˜๐—ถ๐—ผ๐—ป ๐—™๐˜‚๐—ป๐—ฐ๐˜๐—ถ๐—ผ๐—ป๐˜€ .- len() .- sorted() .- range() .- zip() .- enumerate().- reversed() .- all() .- any().
0
0
0
@deepakunique
Deepak Goyal
3 days
Look in the mirror. No filters. No lies. Ask: What am I even doing with my life?.If you feel nothingโ€ฆ itโ€™s not peace. Itโ€™s surrender. Youโ€™re not living โ€” just slowly giving up. Thatโ€™s how people die before theyโ€™re gone.
1
1
11
@deepakunique
Deepak Goyal
4 days
๐——๐—ฎ๐˜๐—ฎ ๐—ง๐˜†๐—ฝ๐—ฒ ๐—–๐—ผ๐—ป๐˜ƒ๐—ฒ๐—ฟ๐˜€๐—ถ๐—ผ๐—ป ๐—™๐˜‚๐—ป๐—ฐ๐˜๐—ถ๐—ผ๐—ป๐˜€ .- int() .- float() .- str() .- bool() .- complex() .- list() .- tuple().- set() .- dict().- frozenset() .- bytes().- bytearray() .- memoryview().
0
0
3
@deepakunique
Deepak Goyal
4 days
๐— ๐—ฎ๐˜๐—ต๐—ฒ๐—บ๐—ฎ๐˜๐—ถ๐—ฐ๐—ฎ๐—น ๐—™๐˜‚๐—ป๐—ฐ๐˜๐—ถ๐—ผ๐—ป๐˜€.- abs().- pow() .- round().- divmod() .- sum() .- min() .- max().
1
0
2
@deepakunique
Deepak Goyal
4 days
๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐—ถ๐˜€ ๐˜๐—ต๐—ฒ ๐—ก๐—ฒ๐˜„ ๐—˜๐—ป๐—ด๐—น๐—ถ๐˜€๐—ต. ๐—ฆ๐—ฝ๐—ฒ๐—ฎ๐—ธ ๐—œ๐˜ ๐—™๐—น๐˜‚๐—ฒ๐—ป๐˜๐—น๐˜†!. Hereโ€™s Your Ultimate Guide!. ๐—œ๐—ป๐—ฝ๐˜‚๐˜/๐—ข๐˜‚๐˜๐—ฝ๐˜‚๐˜ ๐—™๐˜‚๐—ป๐—ฐ๐˜๐—ถ๐—ผ๐—ป๐˜€.- print() .- input() .- format(). follow to know more โค.
3
0
7
@deepakunique
Deepak Goyal
5 days
Tweet media one
0
0
6
@deepakunique
Deepak Goyal
5 days
Apache Kafka โ€“ Real-Time Backbone. Day 4: Apache Kafka โ€“ Real-Time Backbone. Kafka = distributed commit log for data. ๐Ÿ”น Topics = Immutable logs .๐Ÿ”น Partitions = Parallelism .๐Ÿ”น Kafka Connect = Easy ingestion (DBs, APIs, Files). ๐Ÿ’ก Use Kafka for:. Change Data Capture (CDC).
0
0
2
@deepakunique
Deepak Goyal
6 days
Tweet media one
1
0
12
@deepakunique
Deepak Goyal
7 days
Airflow Catchup vs Backfill*. ๐Ÿง *Airflow Deep Dive*.*Q:* Whatโ€™s the difference between *Catchup* and *Backfill*?. * catchup=True โ†’ Runs all missed DAG runs since start\_date.* *Backfill* โ†’ Manual rerun of past DAGs via CLI. ๐ŸŽฏ Disable catchup for real-time pipelines.
0
0
1
@deepakunique
Deepak Goyal
8 days
Staying in the same job for 8 years isnโ€™t always stability โ€” sometimes itโ€™s stagnation. If you want growth, you need to learn, try, fail, and try again. ๐Ÿš€ Ready to switch to Azure Data Engineering?.Join my free live session (starting with Python):
0
0
1
@deepakunique
Deepak Goyal
8 days
Tweet media one
0
0
0
@deepakunique
Deepak Goyal
8 days
Partition vs Bucketing. Q:Whatโ€™s the difference b/w Partitioning and Bucketing?. Partitioning: Organizes data into folders (e.g. by country/year).Bucketing: Breaks data into fixed-sized hashed files (e.g. by user\_id). ๐Ÿ’ก Use both for faster filtering + joins!.
0
1
4
@deepakunique
Deepak Goyal
9 days
So whatโ€™s the real take-home per year?.Only the base is guaranteed = โ‚น18L.Take-home after tax โ‰ˆ โ‚น13.5โ€“14L.You're thinking โ‚น30Lโ€ฆ but you're living like you're on โ‚น14L. That's less than 50% of whatโ€™s promised.
0
0
1
@deepakunique
Deepak Goyal
9 days
Offer Letter says:.๐Ÿงพ CTC: โ‚น30 LPA.Wow? Not really. Here's the breakdown:.โ‚น18L โ€“ Base salary. โ‚น4L โ€“ Annual bonus (performance-based ๐Ÿ‘€). โ‚น3L โ€“ ESOPs (vests over 4 years). โ‚น2L โ€“ Gratuity + PF + medical. โ‚น3L โ€“ "Other benefits" (laptop, training, etc.).
1
0
5