Data Engineering, is a vital part of the Data Science ecosystem. Watch Shashank Mishra's (Data Engineer - III, Expedia, Ex-Amazon) detailed full course on Data Engineering. Check out our FREE masterclasses by leading industry experts now: www.scaler.com/events?...
It’s no secret that in today’s data-driven world, the demand for data professionals is at an all-time high. Data engineering today could be considered one of the most lucrative jobs that deal with data. Due to this reason and more, data engineering has become one of the fastest-growing tech occupations.
What is the role of a Data Engineer?
A data engineer's responsibility is to construct or combine many components of complex systems while considering the information needed, the business's aims, and the end-user's demands.
Data engineers design, implement and manage the backend infrastructure that allows analysts and data scientists to derive insights from the data.
Data engineering is undoubtedly one of the top choices when it comes to having a career in a data-oriented domain. However, it is also critical to understand the current position for Data Engineers in India in terms of demand, compensation, and general necessity.
What is Big Data?
Big Data is a collection of structured, semi-structured, and unstructured data gathered by businesses and utilised in machine learning projects, predictive modelling, and other advanced analytics applications.
What is a Data Pipeline?
A data pipeline is a series of elements that automatically gather, organise, transfer, convert, and process data from one place to another, ensuring that the data is in a usable condition for enterprises to allow a data-driven culture.
Put in simpler words,
A data pipeline is a series of activities that ingest raw data from many sources and transport it to a destination for storage and analysis.
Coding Interviews at FAANG. Are They Tough to Crack?
Short answer. Yes. Every year, FAANG tops the list of the most sought-after companies for programmers around the globe. The salary packages, the working environment, and additional perks are a few reasons why coders want to ace the interview of these companies. Not to forget, the reputation that the FAANG companies entail as well.
Data Engineering, as a profession is fast gaining pace in the data science ecosystem, and due to the strong need for Data Engineers, even FAANG companies are willing to spend a fortune for qualified individuals.
The following topics are included in this data engineering tutorial:
0:00: Introduction
1:27: Scope of Data Engineering in India
15:38: Become a Data Engineer at FAANG
38:33: How Big Data helps in building better apps
49:14: Designing a Data Pipeline
1:11:11: Harsh Reality of being a Data Engineer
1:25:30: Crack Data Engineering Interviews
1:54:26: If I could restart my Career
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