Whoever you are i don't give a damn i will never respond so do respond on that poll

The game is rigged, but that doesn't mean you shouldn't play.

Learn the rules, network like hell, and make moves.

This is for those who think only few members are getting the opportunity to get a job we are not privileged for the job or interview we do learn n implement things for the job if you can beat 8rounds of interview you can also join let me know i will personally send your resume with a good remark of yours on HR mind

14 people saw this poll out of 14 only 3 voted and rest 11 things we are privileged to get a job think wisely before uttering a single word we are ready to push you to next level but you guys have to come ahead then only we can offer you the best

Who the hell will provide you videos for each concept, hand written notes with diagram and everything possible that we can do


You might think that we have a good connection with people but definitely we made that happen they know what we deliver what we are pushing if someone is having issues with me let me know please don't tell to someone your image will only be down for me n literally i don't care because that creates some red mark on your profile only don't be nibba nibbi here those day's gone be professional

We are not here to entertain we are here to push you all to the next level of organisation with a good package with a attitude to reject something that you don't want if you want us to push you please be active else message me in person I will remove everyone because I have a team to care for n that'also is good if i can push 10 members of my team i can push rest 112 members also take it as an opportunity not as something school ki baatein

What we want you all to be you will remember for almost 5 years from now 😊

You can ask any of my teammates who followed me they have a great change in concepts and coding skills if they will give level easy questions also 95% of members can't do those questions

No More updates here 😊 have a great time ahead you are all super good

join this i will update every program here asap by sunday

▲illustration of data processing from raw to end user▲

◾its step by step process how data flows from data source.

• data source: data source is simply the source of the data.

•data loaders: data loader is a application for the bulk import or export of data.

•data lake: a data lake is a centralized repository designed to store, process, and secure large amounts of structured, semi structured, and unstructured data.

• data visualization: data visualization is a way to represent information graphically, highlighting patterns and trends in data.

• ml development: machine learning deals with the issue of how to build computer programs that improve their performance at some tasks through experience.
graphic credit: semantix (data platform)
◾this infographics delivers highly valuable information to understand the flow of data.
tags-
#data #engineering #analytics #science #intelligence #visualization #machinelearning #bigdata #dataengineering #computing #datascience #dataanalytics #datamining #ai #ml #learning

Can join if any not yet joined channel

Top LeetCode questions asked in 𝐀𝐩𝐩𝐥𝐞 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐬 for SDE role ❤️

👉 Two Sum (32 times): https://lnkd.in/dz-nQabK

👉 Move Zeroes : https://lnkd.in/dWrM3guU

👉 Roman to Integer : https://lnkd.in/d3wrkWAb

👉 Reverse Integer : https://lnkd.in/dakwsvz9

👉 Contains Duplicate : https://lnkd.in/dSGzKSpr

👉 Longest Common Prefix: https://lnkd.in/dinx-Rxz

👉 Container With Most Water : https://lnkd.in/d866PPSK

👉 First Missing Positive : https://lnkd.in/dniF7c7g

👉 Search Insert Position : https://lnkd.in/dZwwnapr


👉 Search in Rotated Sorted Array : https://lnkd.in/dAnewRjw

👉 Trapping Rain Water : https://lnkd.in/dseQCGsV

👉 Product of Array Except Self : https://lnkd.in/d4UZTW7G


👉 Number of Islands (13 times): https://lnkd.in/dEcneG2G

👉 Reverse Linked List (11 times): https://lnkd.in/dVmKdqvP

👉 Group Anagrams (11 times): https://lnkd.in/d9wXHgK9

👉 Valid Parentheses (10 times): https://lnkd.in/d2qy5P9D

👉 Merge Intervals (9 times): https://lnkd.in/dvQYHsQf

👉 Word Break (9 times): https://lnkd.in/dTyrvmrd

👉 Median of Two Sorted Arrays (9 times): https://lnkd.in/dtF7QHsY

👉 Product of Array Except Self (8 times): https://lnkd.in/ddtJrVQX

👉 Maximum Subarray (8 times): https://lnkd.in/d8t24BMj

👉 Longest Common Prefix (7 times): https://lnkd.in/gG6J3N6v

👉 Longest Substring Without Repeating Characters (7 times): https://lnkd.in/dAr9a5Ny

👉 Word Search II (7 times): https://lnkd.in/dAV9Xg24


👉 3Sum (7 times): https://lnkd.in/d_vhP7X8

👉 Permutations (7 times): https://lnkd.in/gHzEEqw3

👉 Longest Palindromic Substring (6 times): https://lnkd.in/dFpK7Vbu

📌Click this link and let the magic begin
https://www.linkedin.com/mwlite/in/aman-raj-6168b616a

𝐃𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐞𝐝 𝐂𝐚𝐜𝐡𝐞 𝐒𝐲𝐬𝐭𝐞𝐦: One of the most interesting concepts in system design.

𝐖𝐡𝐚𝐭 𝐢𝐬 𝐂𝐚𝐜𝐡𝐞?
A cache is a data storage component that can be hardware or software. It enables the client to find data more quickly than other types of memory.

𝐖𝐡𝐚𝐭 𝐢𝐬 𝐃𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐞𝐝 𝐂𝐚𝐜𝐡𝐞 𝐒𝐲𝐬𝐭𝐞𝐦?
If the data is too large to be served by a single cache on a single machine, a distributed machine is required to serve the clients' requests in a scalable and distributed manner. This is referred to as a distributed cache system.

𝐇𝐨𝐰 𝐃𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐞𝐝 𝐂𝐚𝐜𝐡𝐞 𝐒𝐲𝐬𝐭𝐞𝐦 𝐰𝐨𝐫𝐤𝐬?
Generally, a Distributed Cache is based on a Distributed Hash Table(DHT) (a decentralized storage system that provides lookup and storage schemes similar to a hash table for storing key-value pairs.) which is similar to a hash table but spread across multiple nodes. By managing the addition, DHT enables a distributed cache to scale on the fly.

𝐇𝐨𝐰 𝐝𝐨 𝐰𝐞 𝐞𝐯𝐢𝐜𝐭 𝐭𝐡𝐞 𝐜𝐚𝐜𝐡𝐞 𝐚𝐧𝐝 𝐰𝐡𝐞𝐧 𝐝𝐨 𝐰𝐞 𝐧𝐞𝐞𝐝 𝐭𝐨 𝐞𝐯𝐢𝐜𝐭 𝐭𝐡𝐞 𝐜𝐚𝐜𝐡𝐞?
Eviction means removing key and value entries from the cache memory, as the cache is expensive, and not all the values present there are always being used. So we need to identify which entry is not being used and is sitting at the location ideally.

One of the common strategies is “Least Recently Used” or LRU. Delete the entry which is recently being used.

𝐇𝐨𝐰 𝐜𝐚𝐧 𝐰𝐞 𝐬𝐩𝐞𝐞𝐝 𝐮𝐩 𝐭𝐡𝐞 𝐩𝐫𝐨𝐜𝐞𝐬𝐬?
We need a service that serves get/put/delete requests; even though we're using RAM, which is fast, it's still blocking calls.
We can use 2 Logic:
- spawn n no of threads as and when we get the requests or we can have a bigger thread pool to handle thread.
- Event-driven logic.

Keep these notes always it will help you in everything related to Oracle database

//Write a java program accept date of birth from scanner and check eligible for vote ?
import java.util.Scanner;
public class Main
{
public static void main(String[] args)
{
Scanner in = new Scanner(System.in);
System.out.print("Input your date of birth (yyyy-mm-dd) : ");
String inputString = in.nextLine();
if (inputString.length() != 10)
{
System.out.println("Error: Invalid length");
}
else
{
String[] date = inputString.split("-");
int year = Integer.parseInt(date[0]);
int month = Integer.parseInt(date[1]);
int day = Integer.parseInt(date[2]);
if (year < 2002)
{
System.out.println("You are eligible to vote.");
}
else
{
if (year > 2002)
{
System.out.println("You are not eligible to vote.");
}
else
{
if (month < 10)
{
System.out.println("You are eligible to vote.");
}
else
{
if (month > 10)
{
System.out.println("You are not eligible to vote.");
}
else
{
if (day <= 27)
{
System.out.println("You are eligible to vote.");
}
else
{
System.out.println("You are not eligible to vote.");
}
}
}
}
}
}
}
}

This is correct code but this brute code will update you with correct n small code for the same