β¨οΈ MongoDB Cheat Sheet
This Post includes a MongoDB cheat sheet to make it easy for our followers to work with MongoDB.
Working with databases
Working with rows
Working with Documents
Querying data from documents
Modifying data in documents
Searching
MongoDB is a flexible, document-orientated, NoSQL database program that can scale to any enterprise volume without compromising search performance.
This Post includes a MongoDB cheat sheet to make it easy for our followers to work with MongoDB.
Working with databases
Working with rows
Working with Documents
Querying data from documents
Modifying data in documents
Searching
β€2
π Walk-in Hiring Drive Alert! π
AccioJob x Sceniuz are hiring for Data Analyst & Data Engineer roles!
* Graduation Year: Open to All
* Degree: BTech / BE / BCA / BSC / MTech /ME / MCA / MSC
* CTC: 3β6 LPA
* Offline Assesment at AccioJob partnered campus in Mumbai
ππ» Data Analyst: https://go.acciojob.com/47HSHh
ππ» Data Engineer: https://go.acciojob.com/PnRTK2
AccioJob x Sceniuz are hiring for Data Analyst & Data Engineer roles!
* Graduation Year: Open to All
* Degree: BTech / BE / BCA / BSC / MTech /ME / MCA / MSC
* CTC: 3β6 LPA
* Offline Assesment at AccioJob partnered campus in Mumbai
ππ» Data Analyst: https://go.acciojob.com/47HSHh
ππ» Data Engineer: https://go.acciojob.com/PnRTK2
β€1
Greetings from PVR Cloud Tech!! π
π Kickstart Your Career in Azure Data Engineering β The Smart Way in 2025!
π Start Date: 15th September 2025
β° Time: 9 PM β 10 PM IST | Monday
πΉ Course Content:
https://drive.google.com/file/d/1YufWV0Ru6SyYt-oNf5Mi5H8mmeV_kfP-/view
π± Join WhatsApp Group:
https://chat.whatsapp.com/JezGFEebk2G3TsZPzTsbZP
π₯ Register Now:
https://forms.gle/8f6hzRCQJmShf5Eo8
πΊ WhatsApp Channel:
https://www.whatsapp.com/channel/0029Vb60rGU8V0thkpbFFW2n
Cheers.
Team PVR Cloud Tech :)
+91-9346060794
π Kickstart Your Career in Azure Data Engineering β The Smart Way in 2025!
π Start Date: 15th September 2025
β° Time: 9 PM β 10 PM IST | Monday
πΉ Course Content:
https://drive.google.com/file/d/1YufWV0Ru6SyYt-oNf5Mi5H8mmeV_kfP-/view
π± Join WhatsApp Group:
https://chat.whatsapp.com/JezGFEebk2G3TsZPzTsbZP
π₯ Register Now:
https://forms.gle/8f6hzRCQJmShf5Eo8
πΊ WhatsApp Channel:
https://www.whatsapp.com/channel/0029Vb60rGU8V0thkpbFFW2n
Cheers.
Team PVR Cloud Tech :)
+91-9346060794
β€3π1
π Step-by-Step Guide to Become a Data Engineer in 2025 π οΈπ
1οΈβ£ Start with Programming Basics
Learn Python or Java β essential for scripting, automation & handling data.
2οΈβ£ Understand Databases
Master SQL for querying, plus NoSQL (MongoDB, Cassandra) for unstructured data.
3οΈβ£ Learn Data Warehousing
Get comfy with ETL, OLAP, Star/Snowflake schemas. Tools: Snowflake, Redshift, BigQuery.
4οΈβ£ Work with Big Data Tools
Explore Hadoop, Spark, Kafka β key for large-scale data processing.
5οΈβ£ Get Hands-On with Cloud Platforms
Focus on AWS, Azure, or GCP β master data services like S3, Lambda, Glue, BigQuery.
6οΈβ£ Practice Building Data Pipelines
Use Apache Airflow, dbt, or Prefect to build and orchestrate workflows end-to-end.
7οΈβ£ Version Control & CI/CD
Learn GitHub, Docker, Jenkins for collaboration and deployment.
8οΈβ£ Build a Strong Portfolio
Show off pipeline projects, cloud workflows, and architecture diagrams.
9οΈβ£ Apply for Data Engineering Roles
Look for titles like Data Engineer, ETL Developer, Cloud Data Engineer.
π Keep Growing & Learning
Dive into real-time streaming, data security, optimization, and advanced data modeling.
ββββββββββ
π₯ In 2025, top skills include cloud computing, big data, ETL, programming (Python/Java), and data warehousing. Focus where demand is highest!
π‘ Start small, build projects, experiment on free cloud tiers, and stay updated with emerging tech.
π¬ Tap β€οΈ for more!
1οΈβ£ Start with Programming Basics
Learn Python or Java β essential for scripting, automation & handling data.
2οΈβ£ Understand Databases
Master SQL for querying, plus NoSQL (MongoDB, Cassandra) for unstructured data.
3οΈβ£ Learn Data Warehousing
Get comfy with ETL, OLAP, Star/Snowflake schemas. Tools: Snowflake, Redshift, BigQuery.
4οΈβ£ Work with Big Data Tools
Explore Hadoop, Spark, Kafka β key for large-scale data processing.
5οΈβ£ Get Hands-On with Cloud Platforms
Focus on AWS, Azure, or GCP β master data services like S3, Lambda, Glue, BigQuery.
6οΈβ£ Practice Building Data Pipelines
Use Apache Airflow, dbt, or Prefect to build and orchestrate workflows end-to-end.
7οΈβ£ Version Control & CI/CD
Learn GitHub, Docker, Jenkins for collaboration and deployment.
8οΈβ£ Build a Strong Portfolio
Show off pipeline projects, cloud workflows, and architecture diagrams.
9οΈβ£ Apply for Data Engineering Roles
Look for titles like Data Engineer, ETL Developer, Cloud Data Engineer.
π Keep Growing & Learning
Dive into real-time streaming, data security, optimization, and advanced data modeling.
ββββββββββ
π₯ In 2025, top skills include cloud computing, big data, ETL, programming (Python/Java), and data warehousing. Focus where demand is highest!
π‘ Start small, build projects, experiment on free cloud tiers, and stay updated with emerging tech.
π¬ Tap β€οΈ for more!
β€7
Stop obsessing over Python and SQL skills.
Here are 5 non-technical skills that make exceptional data analysts:
- Business Acumen
Understand the industry you're in. Know your company's goals, challenges, and KPIs. Your analyses should drive business decisions, not just process data.
- Storytelling
Data without context is just noise. Learn to craft compelling narratives around your insights. Use analogies, visuals, and clear language to make complex data accessible.
- Stakeholder Management
Navigate office politics and build relationships. Know how to manage expectations, handle difficult personalities, and align your work with stakeholders' priorities.
- Problem-Solving
Develop ability for identifying the real problem behind the data request. Often, the question asked isnβt the one that truly needs solving. Itβs your job as a data analyst to dig deeper, challenge assumptions, and uncover the actual business challenge.
Technical skills may get you started, but itβs the soft skills that truly advance your career. These are the skills that turn a good analyst into an essential part of the team.
The best data analysts aren't just number crunchers - they guide the strategy that drives the business forward.
I have curated best 80+ top-notch Data Analytics Resources ππ
https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02
Hope this helps you π
Here are 5 non-technical skills that make exceptional data analysts:
- Business Acumen
Understand the industry you're in. Know your company's goals, challenges, and KPIs. Your analyses should drive business decisions, not just process data.
- Storytelling
Data without context is just noise. Learn to craft compelling narratives around your insights. Use analogies, visuals, and clear language to make complex data accessible.
- Stakeholder Management
Navigate office politics and build relationships. Know how to manage expectations, handle difficult personalities, and align your work with stakeholders' priorities.
- Problem-Solving
Develop ability for identifying the real problem behind the data request. Often, the question asked isnβt the one that truly needs solving. Itβs your job as a data analyst to dig deeper, challenge assumptions, and uncover the actual business challenge.
Technical skills may get you started, but itβs the soft skills that truly advance your career. These are the skills that turn a good analyst into an essential part of the team.
The best data analysts aren't just number crunchers - they guide the strategy that drives the business forward.
I have curated best 80+ top-notch Data Analytics Resources ππ
https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02
Hope this helps you π
π2β€1