Intro to Data Engineering
Get an Introduction to the Data Engineering and Explore the Career Opportunities It Offers
4.58 (1046 reviews)
5 506
students
3.5 hours
content
May 2024
last update
$69.99
regular price
What you will learn
Determine if data engineering is the right career choice for you
Learn data engineering fundamentals
Acquire key technical data engineering skills
Discover potential career paths within data engineering
Benefit from the knowledge of an experienced data engineer
Learn strategies to enhance data processes at your company
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Our Verdict
With a solid 4.65 global rating, Intro to Data Engineering by Shashank Kalanithi offers an engaging and resource-rich introduction to the data engineering field, appealing particularly to both beginners curious about data careers and early-stage professionals seeking insights for career progression. Despite minor issues such as pacing occasionally disrupting learning flow, this 3.5-hour course admirably covers a wide range of tools and concepts, making it an excellent starting point in understanding the world of data engineering.
What We Liked
- Comprehensive introduction to data engineering, covering key concepts such as data architecture, orchestration, and databases
- Designed for both newcomers and entry-level data engineers, with insights on career development, skillsets, and industry trends
- Engaging teaching style, delivered by an experienced professional who has worked in various data-related roles at Meta (formerly Facebook)
- Wide variety of data engineering tools and frameworks explained, such as SQL, NoSQL, Python, Hadoop, Spark, and Kafka
Potential Drawbacks
- Course pace could be too fast for some learners, potentially causing difficulty in keeping up with the content
- Limited hands-on experience and real-world examples could make it challenging for learners to fully grasp certain topics
- Lack of depth in several areas leaves advanced learners desiring more robust treatment of select subjects
- Overemphasis on slide text removal during instructor explanation may hinder some learners from following along effectively
5985968
udemy ID
22/05/2024
course created date
29/05/2024
course indexed date
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