You're reading from The Data Wrangling Workshop - Second Edition

Product typeBook

Published inJul 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781839215001

Edition2nd Edition

Languages

Python

Tools

Jupyter

Concepts

Data Processing

Authors (3):

Brian Lipp

Shubhadeep Roychowdhury

Dr. Tirthajyoti Sarkar

View More author details

Introduction

This chapter of our data journey is focused on Relational Database Management System (RDBMS) and Structured Query Language (SQL). In the previous chapter, we stored and read data from a file. In this chapter, we will read structured data, design access to the data, and create query interfaces for databases.

For years, the RDBMS format has been the conventional way to store data. An RDBMS is one of the safest ways to store, manage, and retrieve data. It is backed by a solid mathematical foundation (relational algebra and calculus) and exposes an efficient and intuitive declarative language – SQL – for easy interaction. Almost every language has a rich set of libraries to interact with different RDBMS, and the tricks and methods of using them are well tested and well understood.

Scaling an RDBMS is a pretty well-understood task, and there is a group of well trained, experienced professionals to do this job (DBAs, or database administrators).

So, it...

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The Data Wrangling Workshop - Second Edition

Published in: Jul 2020Publisher: PacktISBN-13: 9781839215001

Authors (3)

Brian Lipp

Brian Lipp is a Technology Polyglot, Engineer, and Solution Architect with a wide skillset in many technology domains. His programming background has ranged from R, Python, and Scala, to Go and Rust development. He has worked on Big Data systems, Data Lakes, data warehouses, and backend software engineering. Brian earned a Master of Science, CSIS from Pace University in 2009. He is currently a Sr. Data Engineer working with large Tech firms to build Data Ecosystems.
Read more about Brian Lipp

Shubhadeep Roychowdhury

Shubhadeep Roychowdhury holds a master's degree in computer science from West Bengal University of Technology and certifications in machine learning from Stanford. He works as a senior software engineer at a Paris-based cybersecurity startup, where he is applying state-of-the-art computer vision and data engineering algorithms and tools to develop cutting-edge products. He often writes about algorithm implementation in Python and similar topics.
Read more about Shubhadeep Roychowdhury

Dr. Tirthajyoti Sarkar

Dr. Tirthajyoti Sarkar works as a senior principal engineer in the semiconductor technology domain, where he applies cutting-edge data science/machine learning techniques for design automation and predictive analytics. He writes regularly about Python programming and data science topics. He holds a Ph.D. from the University of Illinois and certifications in artificial intelligence and machine learning from Stanford and MIT.
Read more about Dr. Tirthajyoti Sarkar

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You're reading from The Data Wrangling Workshop - Second Edition

Introduction

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Authors (3)

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