A Data Engineer’s Guide To Nontraditional Data Storages
With the rise of big data and data science, storage and retrieval have become a critical pipeline component for data use and analysis. Recently, new data storage technologies have emerged. But the question is: Which one should you choose? Which one is best suited for data engineering?
In this article, Toptal Data Scientist Ken Hu compares three prominent storage technologies within the context of data engineering.
Ken Hu
SQL Database Performance Tuning for Developers
Database tuning can be an incredibly difficult task, particularly when working with large-scale data where even the most minor change can have a dramatic (positive or negative) impact on performance.
In mid-sized and large companies, most database tuning will be handled by a Database Administrator (DBA). But there are plenty of developers who have to perform DBA-like tasks; meanwhile, DBAs often struggle to work well with developers.
In this article, learn database tuning tips and how developers and DBAs can work together effectively.
Kevin Bloch
MySQL Master-Slave Replication on the Same Machine
Developers often work on only one machine, and have their whole development environment on that machine. Testing database replication before deploying changes in this kind of a development environment can be a challenging task.
In this article, Toptal engineer Ivan Bojovic guides us through a step-by-step tutorial on how to implement MySQL master-slave replication on one machine.
Ivan Bojovic
How to Tune Microsoft SQL Server for Performance
To retain its users, any application or website must run fast. For mission critical environments, a couple of milliseconds delay in getting information might create big problems. As database sizes grow day by day, we need to fetch data as fast as possible, and write the data back into the database as fast as possible. To make sure all operations are executing smoothly, we have to tune Microsoft SQL Server for performance.
Sripal Reddy Vindyala
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