Indexes and partitioning can help with SQL performance, but they're not cure-alls. Through everyday examples of date range and LIKE queries, find out how to "think like an RDBMS" to make yours run faster.
Data quality is a crucial element of any successful data warehouse solution. As the complexity of data warehouses increases, so does the need for data quality processes.
In this article, Toptal Data Quality Developer Alexander Hauskrecht outlines how you can ensure a high degree of data quality and why this process is so important.
Properly used, an SQL database index can be so effective that it might seem like magic. But the following series of exercises will show that underneath, the logic of most SQL indexes---and wielding them correctly---is quite straightforward.
ETL can consolidate data from various sources into an organized, reliable, and usable database. This allows businesses to employ previously unused or underused data to improve their performance.
In this article, Toptal Data Modeling Developer Alexandre Wanderer demonstrates all stages of the ETL process in building a data warehouse.
What do you do when you come across a dataset that’s simply too big to allow fast queries? Google BigQuery could be part of the solution, though it’s no silver bullet.
In this article, Toptal Java Developer Maksym Goroshkevych explains how BigQuery can drastically improve query performance, and when you should and should not use it.
Angular 6 is out! The most outstanding changes are in its CLI and how services get injected. In this tutorial, Toptal Freelance Angular Developer Joaquin Cid goes over the basic steps of initial setup and then creates a small diary app using Material Design for the front end and Firebase for the back end.