#dbms search results

๐Ÿš€ Database Management System (DBMS) is the backbone of every software system. Iโ€™ve made handwritten DBMS notes covering all key concepts. #SQL #Database #DBMS #HandwrittenNotes Sharing a few free pages here ๐Ÿงต๐Ÿ‘‡ 1/n

BharukaShraddha's tweet image. ๐Ÿš€ Database Management System (DBMS) is the backbone of every software system.

Iโ€™ve made handwritten DBMS notes covering all key concepts.

#SQL #Database #DBMS #HandwrittenNotes

Sharing a few free pages here ๐Ÿงต๐Ÿ‘‡
1/n

L38 (29) inner join = where your data overlaps. only returns matching rows. select c.name, o.ordername from customer c inner join orders o on c.id=o.id; tip: "join" defaults to inner join! #DBMS #SQL #Databases

1drie5's tweet image. L38 (29)

inner join = where your data overlaps.
only returns matching rows.

select c.name, o.ordername
from customer c
inner join orders o on c.id=o.id;

tip: "join" defaults to inner join!

#DBMS #SQL #Databases

L38 (28) joins combine rows from tables via shared columns. inner = matched rows only. left/right = 1 side all + matches. full = everything from both. cross = cartesian. self = table to itself. fk not required โ€” just matching data. #DBMS #SQL #Databases

1drie5's tweet image. L38 (28)

joins combine rows from tables via shared columns.

inner = matched rows only.
left/right = 1 side all + matches.
full = everything from both.
cross = cartesian.
self = table to itself.

fk not required โ€” just matching data.

#DBMS #SQL #Databases


Built a full IPL management system from scratch, starting with DataBase design, converting it into clean database models, then implementing routes and connecting the complete backend flow . @surajtwt_ @ChaiCodeHQ @nirudhuuu #Database #DBMS #ChaiCode #BackendDevelopment #ERD #API

_kumar_pratham's tweet image. Built a full IPL management system from scratch, starting with DataBase design, converting it into clean database models, then implementing routes and connecting the complete backend flow . @surajtwt_ @ChaiCodeHQ @nirudhuuu
#Database #DBMS #ChaiCode #BackendDevelopment #ERD #API
_kumar_pratham's tweet image. Built a full IPL management system from scratch, starting with DataBase design, converting it into clean database models, then implementing routes and connecting the complete backend flow . @surajtwt_ @ChaiCodeHQ @nirudhuuu
#Database #DBMS #ChaiCode #BackendDevelopment #ERD #API

Assignment done โœ… Built a mini IPL database ER diagram with entities like Players, Teams, Owners, Sponsors, and Broadcasters Now using the same ER model in todayโ€™s class to develop our own project based on it . #chaicode #DBMS #ERDiagram #IPL #DataModeling

Kunalmadoliya's tweet image. Assignment done โœ…

Built a mini IPL database ER diagram with entities like Players, Teams, Owners, Sponsors, and Broadcasters

Now using the same ER model in todayโ€™s class to develop our own project based on it .

#chaicode #DBMS #ERDiagram #IPL #DataModeling

The importance of Data, Data Access, and Data Connectivity has never been more evident than in the age of AI. This makes data access protocols like ODBC even more critical, as they empower AI Agents and their underlying frameworks to remain Database Management System (#DBMS)


L38 (34) self join = table joined to itself. rule: MUST use aliases to separate rows! select m.name as mentor, s.name as student from student m join student s on m.s_id = s.mentor_id; tip: best for hierarchical data. #DBMS #SQL #Databases

1drie5's tweet image. L38 (34)

self join = table joined to itself.

rule: MUST use aliases to separate rows!

select m.name as mentor, s.name as student
from student m 
join student s on m.s_id = s.mentor_id;

tip: best for hierarchical data.

#DBMS #SQL #Databases

L38 (33) cross join = the cartesian product. every row from table A pairs with every row from B (m * n). select * from cust cross join ord; tip: careful! 1,000 users ร— 1,000 orders = 1 million rows. mostly used to generate test data or item variations. #DBMS #SQL #Databases

1drie5's tweet image. L38 (33)

cross join = the cartesian product.
every row from table A pairs with every row from B (m * n).

select * from cust cross join ord;

tip: careful! 1,000 users ร— 1,000 orders = 1 million rows. mostly used to generate test data or item variations.

#DBMS #SQL #Databases


L38(32) full join = everything from both. MySQL lacks it! use UNION: select * from cust c left join ord o on c.id=o.id union select * from cust c right join ord o on =; #DBMS #SQL #Databases

1drie5's tweet image. L38(32)

full join = everything from both.

MySQL lacks it! use UNION:

select * from cust c left join ord o on c.id=o.id
union
select * from cust c right join ord o on =;

#DBMS #SQL #Databases

L38 (31) right join = all right + matches (else NULL). select c.name, o.ordername from customer c right join orders o on c.id = o.id; tip: rarely used! devs prefer flipping tables & using left joins. #DBMS #SQL #Databases

1drie5's tweet image. L38 (31)

right join = all right + matches (else NULL).

select c.name, o.ordername
from customer c
right join orders o
on c.id = o.id;

tip: rarely used! devs prefer flipping tables & using left joins.

#DBMS #SQL #Databases


Todayโ€™s cohort session โ†’ IPL management system ERD โ†’ entities, relations, embedding/references, junction tables โ†’ models + DB structuring โ†’ routes + backend flow from diagram โ†’ working backend #chaicode #backend #DBMS

Coder_dnano's tweet image. Todayโ€™s cohort session โ†’ IPL management system

ERD โ†’ entities, relations, embedding/references, junction tables
โ†’ models + DB structuring
โ†’ routes + backend flow

from diagram โ†’ working backend

#chaicode #backend #DBMS
Coder_dnano's tweet image. Todayโ€™s cohort session โ†’ IPL management system

ERD โ†’ entities, relations, embedding/references, junction tables
โ†’ models + DB structuring
โ†’ routes + backend flow

from diagram โ†’ working backend

#chaicode #backend #DBMS
Coder_dnano's tweet image. Todayโ€™s cohort session โ†’ IPL management system

ERD โ†’ entities, relations, embedding/references, junction tables
โ†’ models + DB structuring
โ†’ routes + backend flow

from diagram โ†’ working backend

#chaicode #backend #DBMS

๐Ÿš€Ready to crack your SQL Server interview? Start learning the real Interview Questions Series asked in top companies. Visit our channel now and level up your skills! youtube.com/shorts/z_lMsIVโ€ฆ #dbms #Data #sql #sqldatabase #sqldba #DBA #DBAProgram #madesimplemssql #Analyticss

MadeSimpleMSSQL's tweet card. SQL Server Interview Questions Part - 4 | #sql #education #coding |...

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SQL Server Interview Questions Part - 4 | #sql #education #coding |...


Why did embedded world 2026 honor eXtremeDB/rt with the embedded award: Software? #eXtremeDB/rt is the only COTS hard real time #DBMS. It also eliminates the flash file system and reducing write amplification. Learn more t.ly/jnUSB #EmbeddedSystems #flashmemory

RealTimeDBMS's tweet image. Why did embedded world 2026 honor eXtremeDB/rt with the embedded award: Software? 

#eXtremeDB/rt is the only COTS hard real time #DBMS.

It also eliminates the flash file system and reducing write amplification.

Learn more t.ly/jnUSB

#EmbeddedSystems #flashmemory

We've compiled a list of features to look for in a database management system if speed matters to your project: t.ly/jYHYI #extremedb #DatabaseManagement #dbms #embeddedsystems

LowLatencyDB's tweet image. We've compiled a list of features to look for in a database management system if speed matters to your project: t.ly/jYHYI

#extremedb #DatabaseManagement #dbms #embeddedsystems

โœจ From Kernel to Queryโ€”powering future tech minds! Student Development Program @ SRS FGC ๐ŸŽ“ Sessions on OS, Shell & DBMS by Dr. Nagesh B S (HoD, MCA, RNSIT) ๐Ÿ’ป๐Ÿ“Š #StudentDevelopment #DBMS #OS #RNSIT

rnsitmca8421's tweet image. โœจ From Kernel to Queryโ€”powering future tech minds!
Student Development Program @ SRS FGC ๐ŸŽ“
Sessions on OS, Shell & DBMS by Dr. Nagesh B S (HoD, MCA, RNSIT) ๐Ÿ’ป๐Ÿ“Š
#StudentDevelopment #DBMS #OS #RNSIT
rnsitmca8421's tweet image. โœจ From Kernel to Queryโ€”powering future tech minds!
Student Development Program @ SRS FGC ๐ŸŽ“
Sessions on OS, Shell & DBMS by Dr. Nagesh B S (HoD, MCA, RNSIT) ๐Ÿ’ป๐Ÿ“Š
#StudentDevelopment #DBMS #OS #RNSIT
rnsitmca8421's tweet image. โœจ From Kernel to Queryโ€”powering future tech minds!
Student Development Program @ SRS FGC ๐ŸŽ“
Sessions on OS, Shell & DBMS by Dr. Nagesh B S (HoD, MCA, RNSIT) ๐Ÿ’ป๐Ÿ“Š
#StudentDevelopment #DBMS #OS #RNSIT
rnsitmca8421's tweet image. โœจ From Kernel to Queryโ€”powering future tech minds!
Student Development Program @ SRS FGC ๐ŸŽ“
Sessions on OS, Shell & DBMS by Dr. Nagesh B S (HoD, MCA, RNSIT) ๐Ÿ’ป๐Ÿ“Š
#StudentDevelopment #DBMS #OS #RNSIT

L38 (31) right join = all right + matches (else NULL). select c.name, o.ordername from customer c right join orders o on c.id = o.id; tip: rarely used! devs prefer flipping tables & using left joins. #DBMS #SQL #Databases

1drie5's tweet image. L38 (31)

right join = all right + matches (else NULL).

select c.name, o.ordername
from customer c
right join orders o
on c.id = o.id;

tip: rarely used! devs prefer flipping tables & using left joins.

#DBMS #SQL #Databases

L38 (30) left join = all left + matches (else NULL) select c.name from customer c left join orders o on c.id=o.id where is null; tip: is null โ†’ 0 buys #DBMS #SQL #Databases

1drie5's tweet image. L38 (30)

left join = all left + matches (else NULL)

select c.name
from customer c
left join orders o on c.id=o.id
where  is null;

tip:  is null โ†’ 0 buys

#DBMS #SQL #Databases


Designed a complete IPL management system from scratch today Started with ER diagram โ†’ entities, relations, junction tables Converted it into models and structured database properly Then moved to routes and actual backend flow #DBMS #ChaiCode @nirudhuuu @ChaiCodeHQ

rachit26227444's tweet image. Designed a complete IPL management system from scratch today  
Started with ER diagram โ†’ entities, relations, junction tables  
Converted it into models and structured database properly  
Then moved to routes and actual backend flow  
#DBMS #ChaiCode
@nirudhuuu @ChaiCodeHQ

๐Ÿš€ ER Diagram Assignment Done! Designed an Instagram-like thrift database โ€” focused on structure, relationships & scalability. Grateful for the guidance ๐Ÿ™Œ @Hiteshdotcom sir,@piyushgarg_dev @yntpdotme @nirudhuuu @surajtwt_ @devwithjay @ChaiCodeHQ #DBMS #SQL #LearningInPublic

tiwari_pee28336's tweet image. ๐Ÿš€ ER Diagram Assignment Done!

Designed an Instagram-like thrift database โ€” focused on structure, relationships & scalability.

Grateful for the guidance ๐Ÿ™Œ
@Hiteshdotcom sir,@piyushgarg_dev @yntpdotme @nirudhuuu @surajtwt_ @devwithjay @ChaiCodeHQ

#DBMS #SQL #LearningInPublic

It's Finally Happening! Join us on 30th April for Live Keynotes, Dev tools and gain access to the most premium #cloud and #dbms system. Book a place: vasuki.cloud/io #x #vasukiitech #io #livekeynotes #devtools


L38 (34) self join = table joined to itself. rule: MUST use aliases to separate rows! select m.name as mentor, s.name as student from student m join student s on m.s_id = s.mentor_id; tip: best for hierarchical data. #DBMS #SQL #Databases

1drie5's tweet image. L38 (34)

self join = table joined to itself.

rule: MUST use aliases to separate rows!

select m.name as mentor, s.name as student
from student m 
join student s on m.s_id = s.mentor_id;

tip: best for hierarchical data.

#DBMS #SQL #Databases

L38 (33) cross join = the cartesian product. every row from table A pairs with every row from B (m * n). select * from cust cross join ord; tip: careful! 1,000 users ร— 1,000 orders = 1 million rows. mostly used to generate test data or item variations. #DBMS #SQL #Databases

1drie5's tweet image. L38 (33)

cross join = the cartesian product.
every row from table A pairs with every row from B (m * n).

select * from cust cross join ord;

tip: careful! 1,000 users ร— 1,000 orders = 1 million rows. mostly used to generate test data or item variations.

#DBMS #SQL #Databases


L38 (33) cross join = the cartesian product. every row from table A pairs with every row from B (m * n). select * from cust cross join ord; tip: careful! 1,000 users ร— 1,000 orders = 1 million rows. mostly used to generate test data or item variations. #DBMS #SQL #Databases

1drie5's tweet image. L38 (33)

cross join = the cartesian product.
every row from table A pairs with every row from B (m * n).

select * from cust cross join ord;

tip: careful! 1,000 users ร— 1,000 orders = 1 million rows. mostly used to generate test data or item variations.

#DBMS #SQL #Databases

L38(32) full join = everything from both. MySQL lacks it! use UNION: select * from cust c left join ord o on c.id=o.id union select * from cust c right join ord o on =; #DBMS #SQL #Databases

1drie5's tweet image. L38(32)

full join = everything from both.

MySQL lacks it! use UNION:

select * from cust c left join ord o on c.id=o.id
union
select * from cust c right join ord o on =;

#DBMS #SQL #Databases


It's Finally Happening! Join us on 30th April for Live Keynotes, Dev tools and gain access to the most premium #cloud and #dbms system. Book a place: vasuki.cloud/io #x #vasukiitech #io #livekeynotes #devtools


L38(32) full join = everything from both. MySQL lacks it! use UNION: select * from cust c left join ord o on c.id=o.id union select * from cust c right join ord o on =; #DBMS #SQL #Databases

1drie5's tweet image. L38(32)

full join = everything from both.

MySQL lacks it! use UNION:

select * from cust c left join ord o on c.id=o.id
union
select * from cust c right join ord o on =;

#DBMS #SQL #Databases

L38 (31) right join = all right + matches (else NULL). select c.name, o.ordername from customer c right join orders o on c.id = o.id; tip: rarely used! devs prefer flipping tables & using left joins. #DBMS #SQL #Databases

1drie5's tweet image. L38 (31)

right join = all right + matches (else NULL).

select c.name, o.ordername
from customer c
right join orders o
on c.id = o.id;

tip: rarely used! devs prefer flipping tables & using left joins.

#DBMS #SQL #Databases


โœจ From Kernel to Queryโ€”powering future tech minds! Student Development Program @ SRS FGC ๐ŸŽ“ Sessions on OS, Shell & DBMS by Dr. Nagesh B S (HoD, MCA, RNSIT) ๐Ÿ’ป๐Ÿ“Š #StudentDevelopment #DBMS #OS #RNSIT

rnsitmca8421's tweet image. โœจ From Kernel to Queryโ€”powering future tech minds!
Student Development Program @ SRS FGC ๐ŸŽ“
Sessions on OS, Shell & DBMS by Dr. Nagesh B S (HoD, MCA, RNSIT) ๐Ÿ’ป๐Ÿ“Š
#StudentDevelopment #DBMS #OS #RNSIT
rnsitmca8421's tweet image. โœจ From Kernel to Queryโ€”powering future tech minds!
Student Development Program @ SRS FGC ๐ŸŽ“
Sessions on OS, Shell & DBMS by Dr. Nagesh B S (HoD, MCA, RNSIT) ๐Ÿ’ป๐Ÿ“Š
#StudentDevelopment #DBMS #OS #RNSIT
rnsitmca8421's tweet image. โœจ From Kernel to Queryโ€”powering future tech minds!
Student Development Program @ SRS FGC ๐ŸŽ“
Sessions on OS, Shell & DBMS by Dr. Nagesh B S (HoD, MCA, RNSIT) ๐Ÿ’ป๐Ÿ“Š
#StudentDevelopment #DBMS #OS #RNSIT
rnsitmca8421's tweet image. โœจ From Kernel to Queryโ€”powering future tech minds!
Student Development Program @ SRS FGC ๐ŸŽ“
Sessions on OS, Shell & DBMS by Dr. Nagesh B S (HoD, MCA, RNSIT) ๐Ÿ’ป๐Ÿ“Š
#StudentDevelopment #DBMS #OS #RNSIT

L38 (31) right join = all right + matches (else NULL). select c.name, o.ordername from customer c right join orders o on c.id = o.id; tip: rarely used! devs prefer flipping tables & using left joins. #DBMS #SQL #Databases

1drie5's tweet image. L38 (31)

right join = all right + matches (else NULL).

select c.name, o.ordername
from customer c
right join orders o
on c.id = o.id;

tip: rarely used! devs prefer flipping tables & using left joins.

#DBMS #SQL #Databases

L38 (30) left join = all left + matches (else NULL) select c.name from customer c left join orders o on c.id=o.id where is null; tip: is null โ†’ 0 buys #DBMS #SQL #Databases

1drie5's tweet image. L38 (30)

left join = all left + matches (else NULL)

select c.name
from customer c
left join orders o on c.id=o.id
where  is null;

tip:  is null โ†’ 0 buys

#DBMS #SQL #Databases


๐Ÿš€Ready to crack your SQL Server interview? Start learning the real Interview Questions Series asked in top companies. Visit our channel now and level up your skills! youtube.com/shorts/z_lMsIVโ€ฆ #dbms #Data #sql #sqldatabase #sqldba #DBA #DBAProgram #madesimplemssql #Analyticss

MadeSimpleMSSQL's tweet card. SQL Server Interview Questions Part - 4 | #sql #education #coding |...

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SQL Server Interview Questions Part - 4 | #sql #education #coding |...


L38 (30) left join = all left + matches (else NULL) select c.name from customer c left join orders o on c.id=o.id where is null; tip: is null โ†’ 0 buys #DBMS #SQL #Databases

1drie5's tweet image. L38 (30)

left join = all left + matches (else NULL)

select c.name
from customer c
left join orders o on c.id=o.id
where  is null;

tip:  is null โ†’ 0 buys

#DBMS #SQL #Databases

L38 (29) inner join = where your data overlaps. only returns matching rows. select c.name, o.ordername from customer c inner join orders o on c.id=o.id; tip: "join" defaults to inner join! #DBMS #SQL #Databases

1drie5's tweet image. L38 (29)

inner join = where your data overlaps.
only returns matching rows.

select c.name, o.ordername
from customer c
inner join orders o on c.id=o.id;

tip: "join" defaults to inner join!

#DBMS #SQL #Databases


Why did embedded world 2026 honor eXtremeDB/rt with the embedded award: Software? #eXtremeDB/rt is the only COTS hard real time #DBMS. It also eliminates the flash file system and reducing write amplification. Learn more t.ly/jnUSB #EmbeddedSystems #flashmemory

RealTimeDBMS's tweet image. Why did embedded world 2026 honor eXtremeDB/rt with the embedded award: Software? 

#eXtremeDB/rt is the only COTS hard real time #DBMS.

It also eliminates the flash file system and reducing write amplification.

Learn more t.ly/jnUSB

#EmbeddedSystems #flashmemory

L38 (29) inner join = where your data overlaps. only returns matching rows. select c.name, o.ordername from customer c inner join orders o on c.id=o.id; tip: "join" defaults to inner join! #DBMS #SQL #Databases

1drie5's tweet image. L38 (29)

inner join = where your data overlaps.
only returns matching rows.

select c.name, o.ordername
from customer c
inner join orders o on c.id=o.id;

tip: "join" defaults to inner join!

#DBMS #SQL #Databases

L38 (28) joins combine rows from tables via shared columns. inner = matched rows only. left/right = 1 side all + matches. full = everything from both. cross = cartesian. self = table to itself. fk not required โ€” just matching data. #DBMS #SQL #Databases

1drie5's tweet image. L38 (28)

joins combine rows from tables via shared columns.

inner = matched rows only.
left/right = 1 side all + matches.
full = everything from both.
cross = cartesian.
self = table to itself.

fk not required โ€” just matching data.

#DBMS #SQL #Databases


Starting DBMS playlist by CodeHelp... #CodeHelp #DBMS

Rohan_269's tweet image. Starting DBMS playlist by CodeHelp...
#CodeHelp #DBMS

Week 12 Sunday Class From ERD โ†’ DB Models โ†’ API Built a full IPL backend flow and finally saw how design impacts everything Good schema = clean backend Bad schema = struggle This one clicked ๐Ÿ’ก #Backend #SystemDesign #DBMS #chaicode @surajtwt_

Shriyansh_0210's tweet image. Week 12 Sunday Class 
From ERD โ†’ DB Models โ†’ API
Built a full IPL backend flow and finally saw how design impacts everything

Good schema = clean backend
Bad schema = struggle
This one clicked ๐Ÿ’ก

#Backend #SystemDesign #DBMS #chaicode
@surajtwt_
Shriyansh_0210's tweet image. Week 12 Sunday Class 
From ERD โ†’ DB Models โ†’ API
Built a full IPL backend flow and finally saw how design impacts everything

Good schema = clean backend
Bad schema = struggle
This one clicked ๐Ÿ’ก

#Backend #SystemDesign #DBMS #chaicode
@surajtwt_

Built a full IPL management system from scratch, starting with DataBase design, converting it into clean database models, then implementing routes and connecting the complete backend flow . @surajtwt_ @ChaiCodeHQ @nirudhuuu #Database #DBMS #ChaiCode #BackendDevelopment #ERD #API

_kumar_pratham's tweet image. Built a full IPL management system from scratch, starting with DataBase design, converting it into clean database models, then implementing routes and connecting the complete backend flow . @surajtwt_ @ChaiCodeHQ @nirudhuuu
#Database #DBMS #ChaiCode #BackendDevelopment #ERD #API
_kumar_pratham's tweet image. Built a full IPL management system from scratch, starting with DataBase design, converting it into clean database models, then implementing routes and connecting the complete backend flow . @surajtwt_ @ChaiCodeHQ @nirudhuuu
#Database #DBMS #ChaiCode #BackendDevelopment #ERD #API

Todayโ€™s cohort session โ†’ IPL management system ERD โ†’ entities, relations, embedding/references, junction tables โ†’ models + DB structuring โ†’ routes + backend flow from diagram โ†’ working backend #chaicode #backend #DBMS

Coder_dnano's tweet image. Todayโ€™s cohort session โ†’ IPL management system

ERD โ†’ entities, relations, embedding/references, junction tables
โ†’ models + DB structuring
โ†’ routes + backend flow

from diagram โ†’ working backend

#chaicode #backend #DBMS
Coder_dnano's tweet image. Todayโ€™s cohort session โ†’ IPL management system

ERD โ†’ entities, relations, embedding/references, junction tables
โ†’ models + DB structuring
โ†’ routes + backend flow

from diagram โ†’ working backend

#chaicode #backend #DBMS
Coder_dnano's tweet image. Todayโ€™s cohort session โ†’ IPL management system

ERD โ†’ entities, relations, embedding/references, junction tables
โ†’ models + DB structuring
โ†’ routes + backend flow

from diagram โ†’ working backend

#chaicode #backend #DBMS

L38 (28) joins combine rows from tables via shared columns. inner = matched rows only. left/right = 1 side all + matches. full = everything from both. cross = cartesian. self = table to itself. fk not required โ€” just matching data. #DBMS #SQL #Databases

1drie5's tweet image. L38 (28)

joins combine rows from tables via shared columns.

inner = matched rows only.
left/right = 1 side all + matches.
full = everything from both.
cross = cartesian.
self = table to itself.

fk not required โ€” just matching data.

#DBMS #SQL #Databases

L38 (27) the order of sql commands: how you WRITE it: 1. select 2. from 3. where 4. group by 5. having 6. order by 7. limit how the database EXECUTES it: from โ†’ where โ†’ group by โ†’ having โ†’ select โ†’ order by โ†’ limit know the difference! #DBMS #SQL #Databases

1drie5's tweet image. L38 (27)

the order of sql commands:

how you WRITE it:
1. select
2. from
3. where
4. group by
5. having
6. order by
7. limit

how the database EXECUTES it:
from โ†’ where โ†’ group by โ†’ having โ†’ select โ†’ order by โ†’ limit

know the difference!

#DBMS #SQL #Databases


In today's class we designed a complete IPL management system from scratch. Started with ER diagram - entities, relations, junction tables. Converted it into models and structured database properly. Then moved to routes and actual backend flow @nirudhuuu #DBMS #ChaiCode

BhavayNagpal1's tweet image. In today's class we designed a complete IPL management system from scratch.
Started with ER diagram - entities, relations, junction tables.
Converted it into models and structured database properly.
Then moved to routes and actual backend flow

@nirudhuuu

#DBMS #ChaiCode
BhavayNagpal1's tweet image. In today's class we designed a complete IPL management system from scratch.
Started with ER diagram - entities, relations, junction tables.
Converted it into models and structured database properly.
Then moved to routes and actual backend flow

@nirudhuuu

#DBMS #ChaiCode

Designed a complete IPL management system from scratch today Started with ER diagram โ†’ entities, relations, junction tables Converted it into models and structured database properly Then moved to routes and actual backend flow #DBMS #ChaiCode @nirudhuuu @ChaiCodeHQ

rachit26227444's tweet image. Designed a complete IPL management system from scratch today  
Started with ER diagram โ†’ entities, relations, junction tables  
Converted it into models and structured database properly  
Then moved to routes and actual backend flow  
#DBMS #ChaiCode
@nirudhuuu @ChaiCodeHQ

โ€œReal-Time Versus Real Fastโ€ An overview of the two definitions for the term โ€˜real-timeโ€™ database and why we should use the original meaning. Review the article in @embedded_comp t.ly/QrWWB #RealTimeData #databasedesign #dbms #missioncriticalsystems

RealTimeDBMS's tweet image. โ€œReal-Time Versus Real Fastโ€ An overview of the two definitions for the term โ€˜real-timeโ€™ database and why we should use the original meaning.  Review the article in @embedded_comp t.ly/QrWWB

#RealTimeData #databasedesign #dbms #missioncriticalsystems

#eXtremeDBโ€™s xFlash implements a copy-on-write (CoW), page-mapped recovery mechanism to ensure database consistency and durability delivering reliable, lower-latency transactions directly on #NANDflash without complex file systems. t.ly/sAZXH #DBMS #embeddedsystems

RealTimeDBMS's tweet image. #eXtremeDBโ€™s xFlash implements a copy-on-write (CoW), page-mapped recovery mechanism to ensure database consistency and durability delivering reliable, lower-latency transactions directly on #NANDflash without complex file systems.
t.ly/sAZXH 

#DBMS #embeddedsystems

We invite you to review our research & articles about *hard* real-time #DBMS. If you believe that something on this page needs to be changed, or if you have something to add, please let us know in the link on the page. t.ly/1HqqO #RealTimeData #RTOS #EmbeddedSystems

RealTimeDBMS's tweet image. We invite you to review our research & articles about *hard* real-time #DBMS. If you believe that something on this page needs to be changed, or if you have something to add, please let us know in the link on the page.
t.ly/1HqqO

#RealTimeData #RTOS #EmbeddedSystems

Why did embedded world 2026 honor eXtremeDB/rt with the embedded award: Software? #eXtremeDB/rt is the only COTS hard real time #DBMS. It also eliminates the flash file system and reducing write amplification. Learn more t.ly/jnUSB #EmbeddedSystems #flashmemory

RealTimeDBMS's tweet image. Why did embedded world 2026 honor eXtremeDB/rt with the embedded award: Software? 

#eXtremeDB/rt is the only COTS hard real time #DBMS.

It also eliminates the flash file system and reducing write amplification.

Learn more t.ly/jnUSB

#EmbeddedSystems #flashmemory

Many #DBMS were created in the 1980โ€™s and not written with the unique needs (slower CPUs, limited memory, no persistent storage, etc.) of #embeddedsystems in mind. #eXtremeDB was developed specifically for embedded systems. Learn more t.ly/m7lZx #EmbeddedDatabase

McObject's tweet image. Many #DBMS were created in the 1980โ€™s and not written with the unique needs (slower CPUs, limited memory, no persistent storage, etc.) of #embeddedsystems in mind. #eXtremeDB was developed specifically for embedded systems.
Learn more t.ly/m7lZx
#EmbeddedDatabase

Embedded World is weeks away! If youโ€™re going visit us at Hall 4, Stand 4-238. Play the fun new game Stump Steve! McObject CEO @McGuy has worked exclusively towards optimizing #DBMS for over 35 years - stump him and win! Learn more t.ly/ew-2026 #databasemanagement

McObject's tweet image. Embedded World is weeks away! If youโ€™re going visit us at Hall 4, Stand 4-238. 
Play the fun new game Stump Steve! McObject CEO @McGuy has worked exclusively towards optimizing #DBMS for over 35 years - stump him and win! Learn more t.ly/ew-2026
#databasemanagement

In case you missed it โ€œThe Data in Hard Real-time SCADA Systems Lets Companies Do More with Lessโ€. The latest #DBMS technology allows the capture and utilization of previously out of reach data found in #missioncritical #SCADA systems in @automation_com t.ly/G9Nk_

RealTimeDBMS's tweet image. In case you missed it โ€œThe Data in Hard Real-time SCADA Systems Lets Companies Do More with Lessโ€.  The latest #DBMS technology allows the capture and utilization of previously out of reach data found in #missioncritical #SCADA systems in @automation_com 
t.ly/G9Nk_

๐—™๐—ฟ๐—ผ๐—บ ๐—˜๐—ฅ๐—— ๐˜๐—ผ ๐—”๐—ฃ๐—œ ๐Ÿ Designed a complete IPL management system from scratch today Started with ER diagram โ†’ entities, relations, junction tables Converted it into models and structured database properly Then moved to routes and actual backend flow #DBMS #ChaiCode

devwithjay's tweet image. ๐—™๐—ฟ๐—ผ๐—บ ๐—˜๐—ฅ๐—— ๐˜๐—ผ ๐—”๐—ฃ๐—œ ๐Ÿ

Designed a complete IPL management system from scratch today

Started with ER diagram โ†’ entities, relations, junction tables

Converted it into models and structured database properly

Then moved to routes and actual backend flow

#DBMS #ChaiCode
devwithjay's tweet image. ๐—™๐—ฟ๐—ผ๐—บ ๐—˜๐—ฅ๐—— ๐˜๐—ผ ๐—”๐—ฃ๐—œ ๐Ÿ

Designed a complete IPL management system from scratch today

Started with ER diagram โ†’ entities, relations, junction tables

Converted it into models and structured database properly

Then moved to routes and actual backend flow

#DBMS #ChaiCode
devwithjay's tweet image. ๐—™๐—ฟ๐—ผ๐—บ ๐—˜๐—ฅ๐—— ๐˜๐—ผ ๐—”๐—ฃ๐—œ ๐Ÿ

Designed a complete IPL management system from scratch today

Started with ER diagram โ†’ entities, relations, junction tables

Converted it into models and structured database properly

Then moved to routes and actual backend flow

#DBMS #ChaiCode

Starting my DBMS learning journey today. ๐Ÿ“š Letโ€™s see how much time it takes me to complete this video by @lovebabbar3 and understand the core concepts properly. Consistency mode: ON ๐Ÿš€ #DBMS #LearningInPublic #100DaysOfCode #CSStudents

SaahilxRajput's tweet image. Starting my DBMS learning journey today. ๐Ÿ“š

Letโ€™s see how much time it takes me to complete this video by @lovebabbar3 and understand the core concepts properly.

Consistency mode: ON ๐Ÿš€

#DBMS #LearningInPublic #100DaysOfCode #CSStudents

Read the insightful new article "Engineering Real-Time: Lessons Learned While Chasing Determinism" part 1 in @embedded_comp t.ly/oJbaX #realtimedata #DBMS #deterministicdatabase

RealTimeDBMS's tweet image. Read the insightful new article "Engineering Real-Time: Lessons Learned While Chasing Determinism" part 1 in @embedded_comp t.ly/oJbaX

#realtimedata #DBMS #deterministicdatabase

๐Ÿš€ Database Management System (DBMS) is the backbone of every software system. Iโ€™ve made handwritten DBMS notes covering all key concepts. #SQL #Database #DBMS #HandwrittenNotes Sharing a few free pages here ๐Ÿงต๐Ÿ‘‡ 1/n

BharukaShraddha's tweet image. ๐Ÿš€ Database Management System (DBMS) is the backbone of every software system.

Iโ€™ve made handwritten DBMS notes covering all key concepts.

#SQL #Database #DBMS #HandwrittenNotes

Sharing a few free pages here ๐Ÿงต๐Ÿ‘‡
1/n

ใŠใฏใ‚ˆใ†ใ”ใ–ใ„ใพใ™ใ€‚็ซๆ›œๆ—ฅใฏใ‚นใ‚ฟใƒใ‹ใ‚‰ใ‚นใ‚ฟใƒผใƒˆใ€‚็ตŒๅ–ถๆƒ…ๅ ฑใ‚ทใ‚นใƒ†ใƒ 2ๅ›ž็›ฎใฎใƒˆใƒฌใƒผใƒ‹ใƒณใ‚ฐใ‚’่งฃใ„ใฆใ„ใพใ™ใ€‚ #ไธญๅฐไผๆฅญ่จบๆ–ญๅฃซ่ฉฆ้จ“ #็ตŒๅ–ถๆƒ…ๅ ฑใ‚ทใ‚นใƒ†ใƒ  #DBMS #SQL #ๆญฃ่ฆๅŒ–

genlaishenshu's tweet image. ใŠใฏใ‚ˆใ†ใ”ใ–ใ„ใพใ™ใ€‚็ซๆ›œๆ—ฅใฏใ‚นใ‚ฟใƒใ‹ใ‚‰ใ‚นใ‚ฟใƒผใƒˆใ€‚็ตŒๅ–ถๆƒ…ๅ ฑใ‚ทใ‚นใƒ†ใƒ 2ๅ›ž็›ฎใฎใƒˆใƒฌใƒผใƒ‹ใƒณใ‚ฐใ‚’่งฃใ„ใฆใ„ใพใ™ใ€‚
#ไธญๅฐไผๆฅญ่จบๆ–ญๅฃซ่ฉฆ้จ“
#็ตŒๅ–ถๆƒ…ๅ ฑใ‚ทใ‚นใƒ†ใƒ 
#DBMS
#SQL  
#ๆญฃ่ฆๅŒ–

๐—๐—ผ๐—ถ๐—ป๐˜€ & ๐—œ๐—ป๐—ฑ๐—ฒ๐˜…๐—ถ๐—ป๐—ด โšก Todayโ€™s class went deeper into SQL, joins, foreign keys, & constraints. Also explored indexing and how databases optimize queries behind the scenes. Designed an Instagram-like system using ER diagrams. #DBMS #SQL #Backend #ChaiCode

devwithjay's tweet image. ๐—๐—ผ๐—ถ๐—ป๐˜€ & ๐—œ๐—ป๐—ฑ๐—ฒ๐˜…๐—ถ๐—ป๐—ด โšก

Todayโ€™s class went deeper into SQL, joins, foreign keys, & constraints.

Also explored indexing and how databases optimize queries behind the scenes.

Designed an Instagram-like system using ER diagrams.

#DBMS #SQL #Backend #ChaiCode
devwithjay's tweet image. ๐—๐—ผ๐—ถ๐—ป๐˜€ & ๐—œ๐—ป๐—ฑ๐—ฒ๐˜…๐—ถ๐—ป๐—ด โšก

Todayโ€™s class went deeper into SQL, joins, foreign keys, & constraints.

Also explored indexing and how databases optimize queries behind the scenes.

Designed an Instagram-like system using ER diagrams.

#DBMS #SQL #Backend #ChaiCode
devwithjay's tweet image. ๐—๐—ผ๐—ถ๐—ป๐˜€ & ๐—œ๐—ป๐—ฑ๐—ฒ๐˜…๐—ถ๐—ป๐—ด โšก

Todayโ€™s class went deeper into SQL, joins, foreign keys, & constraints.

Also explored indexing and how databases optimize queries behind the scenes.

Designed an Instagram-like system using ER diagrams.

#DBMS #SQL #Backend #ChaiCode

New Arrival! Order now shroffpublishers.com/books/97893554โ€ฆ SQL: The Practical Guide by @keremkoseoglu with @RheinwerkComp The Practical Guide to Master Relational Databases, SQL Syntax, and Sublanguages for Effective Database Management #sql #databasemanagement #dbms #shroffpublishers

shroffpub's tweet image. New Arrival! Order now shroffpublishers.com/books/97893554โ€ฆ
SQL: The Practical Guide by  @keremkoseoglu  with @RheinwerkComp
The Practical Guide to Master Relational Databases, SQL Syntax, and Sublanguages for Effective Database Management #sql #databasemanagement
#dbms #shroffpublishers

Week 11 of my learning journey ๐Ÿš€ Started **DBMS with Shubham Sir**. @Hiteshdotcom | @piyushgarg_dev |@nirudhuuu #DBMS #SQL #LearningJourney

RajSing62691380's tweet image. Week 11 of my learning journey ๐Ÿš€

Started **DBMS with Shubham Sir**.
@Hiteshdotcom  | @piyushgarg_dev  |@nirudhuuu 

#DBMS #SQL #LearningJourney
RajSing62691380's tweet image. Week 11 of my learning journey ๐Ÿš€

Started **DBMS with Shubham Sir**.
@Hiteshdotcom  | @piyushgarg_dev  |@nirudhuuu 

#DBMS #SQL #LearningJourney
RajSing62691380's tweet image. Week 11 of my learning journey ๐Ÿš€

Started **DBMS with Shubham Sir**.
@Hiteshdotcom  | @piyushgarg_dev  |@nirudhuuu 

#DBMS #SQL #LearningJourney
RajSing62691380's tweet image. Week 11 of my learning journey ๐Ÿš€

Started **DBMS with Shubham Sir**.
@Hiteshdotcom  | @piyushgarg_dev  |@nirudhuuu 

#DBMS #SQL #LearningJourney

What are counterfeit Knowledge Graphs? Please read: linkedin.com/pulse/counterfโ€ฆ #KnowledgeGraph has become a confusing term that confuses unsuspecting end-users and integrators. Even more so in the age of #GenAI. #DBMS #LPG #RDBMS #Issues #CDO #CIO #CAIO #CMO #AI #RAG #GraphRAG

kidehen's tweet image. What are counterfeit Knowledge Graphs? Please read: linkedin.com/pulse/counterfโ€ฆ 

#KnowledgeGraph has become a confusing term that confuses unsuspecting end-users and integrators. Even more so in the age of #GenAI. 

#DBMS #LPG #RDBMS #Issues #CDO #CIO #CAIO #CMO #AI #RAG #GraphRAG

Just wrapped up teaching BTG 206 โ€“ DBMS to 2nd-year Biotech & Molecular Bio students @FUHSI_Official Grateful for the chance to impact lives through tech education โ€” made possible by the amazing ICT team. ๐Ÿ’ปโœจ #DBMS #Teaching #Biotech #FUHSI #EdTech #Teamwork

abono2000's tweet image. Just wrapped up teaching BTG 206 โ€“ DBMS to 2nd-year Biotech & Molecular Bio students @FUHSI_Official 

Grateful for the chance to impact lives through tech education โ€” made possible by the amazing ICT team. ๐Ÿ’ปโœจ

#DBMS #Teaching #Biotech #FUHSI #EdTech #Teamwork

๐——๐—ฎ๐˜๐—ฎ ๐˜€๐—ถ๐—ฑ๐—ฒ ๐—ฏ๐—ฒ๐—ด๐—ถ๐—ป๐˜€ ๐Ÿ“Š โ€ข Creating databases and tables โ€ข Inserting and selecting data โ€ข Filtering records โ€ข UPDATE table โ€ข DELETE with WHERE โ€ข ALTER TABLE operations โ€ข DISTINCT, sorting, LIMIT, OFFSET โ€ข Aggregations โ€ข GROUP BY #DBMS #SQL #Backend #ChaiCode

devwithjay's tweet image. ๐——๐—ฎ๐˜๐—ฎ ๐˜€๐—ถ๐—ฑ๐—ฒ ๐—ฏ๐—ฒ๐—ด๐—ถ๐—ป๐˜€ ๐Ÿ“Š

โ€ข Creating databases and tables
โ€ข Inserting and selecting data
โ€ข Filtering records
โ€ข UPDATE table
โ€ข DELETE with WHERE
โ€ข ALTER TABLE operations
โ€ข DISTINCT, sorting, LIMIT, OFFSET
โ€ข Aggregations
โ€ข GROUP BY

#DBMS #SQL #Backend #ChaiCode
devwithjay's tweet image. ๐——๐—ฎ๐˜๐—ฎ ๐˜€๐—ถ๐—ฑ๐—ฒ ๐—ฏ๐—ฒ๐—ด๐—ถ๐—ป๐˜€ ๐Ÿ“Š

โ€ข Creating databases and tables
โ€ข Inserting and selecting data
โ€ข Filtering records
โ€ข UPDATE table
โ€ข DELETE with WHERE
โ€ข ALTER TABLE operations
โ€ข DISTINCT, sorting, LIMIT, OFFSET
โ€ข Aggregations
โ€ข GROUP BY

#DBMS #SQL #Backend #ChaiCode
devwithjay's tweet image. ๐——๐—ฎ๐˜๐—ฎ ๐˜€๐—ถ๐—ฑ๐—ฒ ๐—ฏ๐—ฒ๐—ด๐—ถ๐—ป๐˜€ ๐Ÿ“Š

โ€ข Creating databases and tables
โ€ข Inserting and selecting data
โ€ข Filtering records
โ€ข UPDATE table
โ€ข DELETE with WHERE
โ€ข ALTER TABLE operations
โ€ข DISTINCT, sorting, LIMIT, OFFSET
โ€ข Aggregations
โ€ข GROUP BY

#DBMS #SQL #Backend #ChaiCode

๐Ÿš€ ER Diagram Assignment Done! Designed an Instagram-like thrift database โ€” focused on structure, relationships & scalability. Grateful for the guidance ๐Ÿ™Œ @Hiteshdotcom sir,@piyushgarg_dev @yntpdotme @nirudhuuu @surajtwt_ @devwithjay @ChaiCodeHQ #DBMS #SQL #LearningInPublic

tiwari_pee28336's tweet image. ๐Ÿš€ ER Diagram Assignment Done!

Designed an Instagram-like thrift database โ€” focused on structure, relationships & scalability.

Grateful for the guidance ๐Ÿ™Œ
@Hiteshdotcom sir,@piyushgarg_dev @yntpdotme @nirudhuuu @surajtwt_ @devwithjay @ChaiCodeHQ

#DBMS #SQL #LearningInPublic

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