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It is no secret that in today’s data-driven world, the demand for data professionals is at an all-time high. Data engineering can be considered one of the most lucrative jobs related to data these days. For this reason and more, data engineering has become one of the fastest growing tech professions.
What is the role of a Data Engineer?
The responsibility of a data engineer is to construct or combine various components of complex systems, taking into account the information required, the business objectives, and the end-user requirements.
Data engineers design, implement, and manage the backend infrastructure that enables analysts and data scientists to extract insights from the data.
Data engineering is undoubtedly one of the best choices when it comes to a career in a data-oriented domain. However, it is also crucial to understand the current position for Data Engineers in India in terms of demand, compensation, and overall need.
What is Big Data?
Big Data is a collection of structured, semi-structured, and unstructured data collected and used by businesses in machine learning projects, predictive modeling, and other advanced analytics applications.
What is a data pipeline?
A data pipeline is a set of elements that automatically collect, organize, transfer, convert, and process data from one place to another, ensuring that data is in a usable state for enterprises and creating a data-driven culture.
Simply put,
A data pipeline is a series of activities that take raw data from various sources and transport it to a destination for storage and analysis.
Coding Interviews at FAANG. Are They Hard to Crack?
Short answer. Yes. FAANG tops the list of most sought-after companies for programmers worldwide every year. The salary packages, work environment, and perks are a few reasons why programmers want to ace the interview for these companies. Not to mention the reputation that FAANG companies bring with them.
Data Engineering is a field that is rapidly gaining popularity within the data science ecosystem. Due to the high demand for Data Engineers, even FAANG companies are willing to spend a fortune on qualified individuals.
The following topics are covered in this data engineering tutorial:
0:00: Introduction
1:27: Scale of Data Engineering in India
15:38: Become a Data Engineer at FAANG
38:33: How Big Data Helps Build Better Apps
49:14: Designing a Data Pipeline
1:11:11: The Harsh Reality of Life as a Data Engineer
1:25:30: Crack Data Engineering Interviews
1:54:26: If I could start my career over again
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