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Posted
7 minutes ago, keviinusa said:

endi cumberlands phd candidacy presentation haa

 

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Posted
1 minute ago, meri_zindagi said:

back ground chorus endi 😂😂

presentation with ppt record chesi pm me .. i will learn Nimmakai

Posted
9 minutes ago, dasari4kntr said:

sources emi peddaga avasaram ledhu....

google theses topics...

  1. (hard disk ) Disk structures like sectors tracks and how sql data stored. if we do one sql select statement how many times disk has to retoate and head has to move to bring that data.
  2. normal forms 
    1. SQL - reducing the redundancy is the key so that we can split the data in multiple tables and join them using join (which is expensive).
    2. No sql - is de normal form (there will be redundancy to get the data fast)
  3. "sharding" concept in no  sql
  4. types of No SQL databases
    1. document based
      1. mongodb
    2. graph based
      1. neo4j
    3. key value chain
      1. redis
  5.  few more...i will update if i remember...

 

 

👍🏻

Posted
5 minutes ago, Nimmakai said:

presentation with ppt record chesi pm me .. i will learn Nimmakai

abhoo

Posted
6 minutes ago, Nimmakai said:

presentation with ppt record chesi pm me .. i will learn Nimmakai

Dyud

Posted
Just now, meri_zindagi said:

abhoo

-_-

Posted
46 minutes ago, meri_zindagi said:

2 hours time untundi... Edo oka topic mida training (with PPT) presentation ivvali. Any suggestions on topics

Could think of splunk/aws cloud/ cryptography at this moment

Any other suggestions

 

 

43 minutes ago, dasari4kntr said:

SQL vs NO SQL

 

42 minutes ago, meri_zindagi said:

Any sources ?

 

33 minutes ago, dasari4kntr said:

sources emi peddaga avasaram ledhu....

google theses topics...

  1. (hard disk ) Disk structures like sectors tracks and how sql data stored. if we do one sql select statement how many times disk has to retoate and head has to move to bring that data.
  2. normal forms 
    1. SQL - reducing the redundancy is the key so that we can split the data in multiple tables and join them using join (which is expensive).
    2. No sql - is de normal form (there will be redundancy to get the data fast)
  3. "sharding" concept in no  sql
  4. types of No SQL databases
    1. document based
      1. mongodb
    2. graph based
      1. neo4j
    3. key value chain
      1. redis
  5.  few more...i will update if i remember...

 

 

This book explains it very well

https://www.amazon.com/Designing-Data-Intensive-Applications-Reliable-Maintainable/dp/1449373321

if you want in-depth knowledge on #1, read persistence chapters in this book (green) here: http://pages.cs.wisc.edu/~remzi/OSTEP/#book-chapters

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Posted
1 hour ago, dasari4kntr said:

sources emi peddaga avasaram ledhu....

google theses topics...

  1. (hard disk ) Disk structures like sectors tracks and how sql data stored. if we do one sql select statement how many times disk has to retoate and head has to move to bring that data.
  2. normal forms 
    1. SQL - reducing the redundancy is the key so that we can split the data in multiple tables and join them using join (which is expensive).
    2. No sql - is de normal form (there will be redundancy to get the data fast)
  3. "sharding" concept in no  sql
  4. types of No SQL databases
    1. document based
      1. mongodb
    2. graph based
      1. neo4j
    3. key value chain
      1. redis
  5.  few more...i will update if i remember...

 

 

tenor.gif

  • Haha 1
Posted
1 hour ago, Help_please said:

 

 

 

This book explains it very well

https://www.amazon.com/Designing-Data-Intensive-Applications-Reliable-Maintainable/dp/1449373321

if you want in-depth knowledge on #1, read persistence chapters in this book (green) here: http://pages.cs.wisc.edu/~remzi/OSTEP/#book-chapters

data intensive applications 2017 lo oka manager told me read ani.. adhi add chesi kocnhem chadivi left it lol..  2nd link is good , persistence will read _-_

Posted
2 hours ago, dasari4kntr said:

sources emi peddaga avasaram ledhu....

google theses topics...

  1. (hard disk ) Disk structures like sectors tracks and how sql data stored. if we do one sql select statement how many times disk has to retoate and head has to move to bring that data.
  2. normal forms 
    1. SQL - reducing the redundancy is the key so that we can split the data in multiple tables and join them using join (which is expensive).
    2. No sql - is de normal form (there will be redundancy to get the data fast)
  3. "sharding" concept in no  sql
  4. types of No SQL databases
    1. document based
      1. mongodb
    2. graph based
      1. neo4j
    3. key value chain
      1. redis
  5.  few more...i will update if i remember...

 

 

@meri_zindagi cosmosdb can be added to document based.. azure lo people using it a lot now

Posted
Just now, karthikn said:

data intensive applications 2017 lo oka manager told me read ani.. adhi add chesi kocnhem chadivi left it lol..  2nd link is good , persistence will read _-_

Yes, DDIA is a classic. System Design concepts baga explain chesthundi

that 2nd link is Operating systems: 3 easy pieces book. anni chapters available online. explains OS concepts very well for beginners

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