![Evolution of JSONB - PostgreSQL](https://res.cloudinary.com/practicaldev/image/fetch/s--4lozEPKF--/c_imagga_scale,f_auto,fl_progressive,h_900,q_auto,w_1600/https://dev-to-uploads.s3.amazonaws.com/i/0hxq2mhaxmhcumh799ny.png)
Evolution of JSONB - PostgreSQL
The evolution of JSONB in PostgreSQL has allowed for more efficient storage and querying of JSON data, making it a powerful tool for handling semi-structured data. With the introduction of functions such as JSONB operators and indexing, working with JSON data in PostgreSQL has become even more streamlined.
![Advanced SQL Part-4 | Window Functions Use Cases](https://i.ibb.co/7XgmbR2/Frame-8-7.png)
Advanced SQL Part-4 | Window Functions Use Cases
In the Part 1 of this blog series, we learnt how to create a frame using frame_types...
![Advanced SQL Part-3 | Window Functions (RANK, ROW_NUMBER, NTILE, NTH_VALUE )](https://i.ibb.co/7XgmbR2/Frame-8-7.png)
Advanced SQL Part-3 | Window Functions (RANK, ROW_NUMBER, NTILE, NTH_VALUE )
In the Part 1 of this blog series, we learnt how to create a frame using frame_types...
![Advanced SQL Part-2 | Window Functions (LAG/LEAD, PARTITION BY)](https://i.ibb.co/7XgmbR2/Frame-8-7.png)
Advanced SQL Part-2 | Window Functions (LAG/LEAD, PARTITION BY)
In the Part 1 of this blog series, we learnt how to create a frame using frame_types...
![Advanced SQL Part-1 | Window Functions (ROWS, RANGE and GROUPS)](https://i.ibb.co/7XgmbR2/Frame-8-7.png)
Advanced SQL Part-1 | Window Functions (ROWS, RANGE and GROUPS)
SQL is a remarkably rich and versatile declarative database and programming language.Development...