Title: Data Engineering Road Map 2022.
1Data Engineering Road Map 2022.
2Overview
- Are technology and coding seem enticing to you?
Do your aspirations force you to out-walk your
current role? If data engineering is what you are
looking for then you are landed on the right
page. - Many get distracted by the lack of guidance. Im
sure you wont afford that. Well in that case we
have an entire roadmap for data engineering
exclusively for you. - You are just a few steps away from your goal.
Follow these steps to be a master in the field of
data engineering.
3Roadmap for data engineering
- Learn the basics
- To start your career in the most inclusive steam
of technicality, you must have a good command of
SQL, Linux, and coding. You must be familiar with
computer language in order to deal with it. - Data engineering cannot be possible without
computer language. So its good to start by
enhancing your technical skill. - Build your first application programming
interface (API) - API will become a part of your life once you
master data engineering. This makes it a great
start as it helps you to open various layers of
technology. - Through your first project, you get a chance to
work on technologies like ports, HTTP requests,
coding, and command lines.
4Roadmap for data engineering
- Learn data warehouse and data pipelines.
- To stand out in your data engineering stream, you
need to be well versed with data engineering
tools. - Nothing can be as important as learning data
warehouse and data pipeline. It helps you to make
your base stronger with time. - Apply your learning in the 2nd project-
warehousing and coding - Practice makes a man perfect. Turn your learnings
into knowledge by practicing it in real life. - Follow these four steps to solidify your
learnings, - Scrape the data online
- Store the data in SFTP
- Frame dimensional model
- Extract data from SFTP and load it into the data
warehouse.
5Roadmap for data engineering
5) Learn test writing. You need to develop your
test writing. Testing is an important part of
CI/CD process. 6) Cloud and NoSQL Learning can
help you in your future. You must have a
certified experience in cloud and NoSQL to
leverage your professional career. 7)
Streaming and distributed system. In the era of
technology, dealing with complex system
eventually becomes easy. To process data, you can
learn streaming and distributed systems to be at
the top.
6Roadmap for data engineering
8) Prepare for the interview. You cannot
practice big data engineering only on theories.
You have to face the real world.This makes it
important for you to prepare for the
interview. 9) Build your third project By now
you master data engineering in many ways. So it
would be the best time for you to work on your
third project, incorporating all your learning
till the time. 10) Learn UI/UX This helps you
to stand out and makes you capable in creatively
representing the data.
7Roadmap for data engineering
8) Prepare for the interview. You cannot
practice big data engineering only on theories.
You have to face the real world.This makes it
important for you to prepare for the
interview. 9) Build your third project By now
you master data engineering in many ways. So it
would be the best time for you to work on your
third project, incorporating all your learning
till the time. 10) Learn UI/UX This helps you
to stand out and makes you capable in creatively
representing the data. 11) Groom in your
interest zone. By that time you are pretty much
an expert in data engineering. So now its your
time to decide the niche for your work.
Understand your expertise and grow accordingly.
8Conclusion
- Techmobius can act as a torch bearer and lead you
to a point where you can master data engineering
and kick-start your life in this stream. -
9Thank You
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