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Introduction to SQL for Data Engineering

Analytics Vidhya

Introduction In this article, we will be looking for a very common yet very important topic i.e. SQL also pronounced as Ess-cue-ell. So this time I’ll be answering some of the factual questions about SQL which every beginner needs to know before getting […].

SQL 370
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SQL vs NoSQL Databases – A Key Concept Every Data Engineer Should Know

Analytics Vidhya

Overview Understand what SQL and NoSQL databases are. Go through the prominent difference between SQL and No SQL Databases. The post SQL vs NoSQL Databases – A Key Concept Every Data Engineer Should Know appeared first on Analytics Vidhya. This is not an exhaustive.

SQL 379
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SQL and PL/SQL – An Unmissable Comparison

Analytics Vidhya

Data is getting significant and gaining more traction by the day. Hence it is required to store such a large amount of data carefully. This brings up databases, and SQL and PL/SQL stand […]. The post SQL and PL/SQL – An Unmissable Comparison appeared first on Analytics Vidhya.

SQL 276
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HQL COMMANDS FOR DATA ANALYTICS

Analytics Vidhya

HQL or Hive Query Language is a simple yet powerful SQL like querying language which provides the users with the ability to perform data analytics on big datasets. Owing to its syntax similarity to SQL, HQL has been widely adopted among data engineers and can be learned quickly by people new to the world of […].

Analytics 298
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Ultimate Collection of 50 Free Courses for Mastering Data Science

KDnuggets

The collection includes free courses on Python, SQL, Data Analytics, Business Intelligence, Data Engineering, Machine Learning, Deep Learning, Generative AI, and MLOps.

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Comparison of Different SQL Clauses

Analytics Vidhya

Introduction to SQL Clauses SQL clauses like HAVING and WHERE both serve to filter data based on a set of conditions. The difference between the functionality of HAVING and WHERE as SQL clauses are generally asked for in SQL interview questions. In this article, […].

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Most Essential 2023 Interview Questions on Data Engineering

Analytics Vidhya

Introduction Data engineering is the field of study that deals with the design, construction, deployment, and maintenance of data processing systems. The goal of this domain is to collect, store, and process data efficiently and efficiently so that it can be used to support business decisions and power data-driven applications.