POOJA JAIN

How to Monetize Your Data with Data Products

📊Data is the new oil.

It is the most valuable asset that businesses have. But how can you turn your data into gold?

The answer is DATA PRODUCTS✨

Data products are the next generation of data-driven applications that use data to power smarter decision-making, personalized experiences, and new revenue streams.

🔖Here are the steps involved in developing data products for monetizing data:
➤Establish a data lake
➤Ingest batch data into the data lake
➤Stream real-time events through a data stream.
➤Use the lambda architecture
➤Implement automated data pipelines.
➤Transform data into curated products.
➤Deliver data products to consumers

Some creative and smart ways to use data and show your creativity with innovation -
📍Use data products to personalize marketing campaigns
📍Making informed decisions and improve customer service
📍Use data products to make better business decisions and personalized experiences
📍Monetize and Use data products to create new products and services with more efficiency

Data products are the future of data-driven business. By following the steps outlined above, you can develop data products that can help you improve your business in a variety of ways.

👉Here's an amazing infographic by Mr. Deepak Bhardwaj that shares a holistic view of how data products can be efficiently used. It also shares a glimpse of how data flow across various modes and modules to reach the target.

#dataengineering #datascience #datamining #dataanalytics #bigdata #cloud #ai #ml #engineering #innovation

Data Engineering on a Budget: Free Projects to Enhance Your Decision-Making

As a data engineer, I've found several excellent projects that can help process and prepare data for analytics and modeling.

1. Beginner: Build a simple ETL pipeline using Python and SQL by Ankit Bansal:
- https://lnkd.in/gTdCV9aJ
- https://lnkd.in/gxEYM3Bb

2. Intermediate:
- Develop a data warehouse solution using Snowflake, dbt by Shashank Mishra 🇮🇳 : https://lnkd.in/gf-c5TR7
- Mr. K Talks Tech : https://lnkd.in/gt9JAkRt
- Snowflake project by Data Engineering Simplified : https://lnkd.in/gXRWyHpc
- Apache Spark project by Ankur Ranjan: https://lnkd.in/gt9JAkRt

3. Advanced: Implement a real-time streaming data processing
- Darshil Parmar : https://lnkd.in/ghiEsa7P
- Yusuf Ganiyu : https://lnkd.in/giYwJaCS

4. Cloud Projects:
- Microsoft Azure by Data Engineering Simplified - https://lnkd.in/gx3aqzKU
- Amazon Web Services (AWS) by Darshil Parmar - https://lnkd.in/gJg7KV-7
- Google Cloud by Anjan - https://lnkd.in/gjHbmCaM

I encourage you to explore these projects and see which ones fit your specific needs.

Remember, good data engineering practices lay the foundation for trustworthy analytics and machine learning initiatives! Happy Learning :)

Image Credits: Semantix

#data #engineering

♾️Get yourself aligned with the basics before deep diving into the technical advancements of any work profile.

▶️If we talk about the data, SQL is the first thing that comes into our head, as we all SQL is the most important and priority skill to have for any data enthusiast.

🔰Having said that, understanding the concepts in detail is equally important rather than just knowing the high level details.

➖For a various set of data enthusiasts SQL plays a vital role in there job profiles -

📍DATA ANALYTICS
📍DATA ENGINEERS
📍DATA SCIENTIST
📍BUSINESS ANALYST
📍MACHINE LEARNING ENGINEERS
📍SOFTWARE ENGINEERS

....... and the list goes on. If your job profile isn't listed here and you're still using SQL share us in the comments.

🥳So, why not have a strong hold on the fundamentals of SQL with an amazing resource SQL Commands with examples by Arockia Liborious!!

✅Now if you're willing to learn SQL from scratch refer W3Schools.com - https://lnkd.in/dr5wQJzg

☑Looking to prepare for interviews then, have a look at Ankit Bansal youtube channel - https://lnkd.in/dAPgKtYZ

📊If looking forward to getting more hands on various use cases on SQL problems or data science interview questions refer DataLemur 🐒 (Ace the SQL & Data Interview) by Nick Singh 📕🐒 - https://lnkd.in/dXRuF5NF

👨‍💻So, folks there's a lot of resources spread across to keep upskilling, learning and catching up new opportunities, explore wisely, learn rapidly and keep practicing!

#data #sql #learning #datascience #dataengineering #dataanalytics #intelligence #datamining #science #engineering #analytics #computing #interview