Category - Best Practice - Learn

MySQL Query Optimization: Techniques for Speeding Up Your Database Explained

December 20th, 2024 By Maria Asghar in Best Practice, Data Strategy, Database Management System, MySQL

MySQL is one of the most popular open-source relational database management systems (RDBMS) used for various applications. As databases grow in size and complexity, it impacts overall performance of application…

Data Mesh vs Data Warehouse: A Guide to Choosing the Right Data Architecture

September 10th, 2024 By Kamlesh in Best Practice, Data Strategy

Nowadays, when it comes to data management, every business has to make one critical decision: whether to use a Data Mesh or a Data Warehouse. Both are strong data management…

Data Migration Challenges and Solutions for 2025

August 28th, 2024 By Sakshi Kulshreshtha in Best Practice, Data Strategy

In 2020, the world contained 44 zettabytes of data. It has been projected that by 2025, global cloud storage will hold more than 200 zettabytes of data, with 463 exabytes…

Are You Ready for the Data Quality Assessment?

April 20th, 2024 By Niklas Lang in Best Practice, Data Strategy

Niklas Lang is the founder and lead author of Data Basecamp, a machine learning blog that aims to offer easy explanations of data science and artificial intelligence. He uses the…

How to Create & Run a High Performance Data Team?

March 29th, 2024 By Sony Saji in Best Practice, Data Strategy

What is a high performance data team? You know how popular Google is now. Since Google acquired Android, it has become one of the globally accepted Operating Systems for smartphones.…

REST API Best Practices and Standards in 2025

November 1st, 2021 By Sherly Angel in Best Practice, Data Strategy, Rest API

Mastering the REST API Best Practices is an art! APIs are used by every software professionals, but not everybody can write the best ones. The security concerns of people because…

16 ETL Best Practices to Follow for Efficient Integration

October 12th, 2020 By Shruti Garg in Best Practice, Data Strategy

ETL (Extract, Transform, and Load) is essentially the most important process that any data goes through as it passes along the Data Stack. It stands for Extract, Transform, and Load.…