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'use strict' | |
import React, { Component } from 'react'; | |
import cx from 'classnames'; | |
import ReactDOM from 'react-dom' | |
import Tree from 'react-ui-tree' | |
import './tmp/react-ui-tree.less'; | |
import './tmp/theme.less'; | |
import './tmp/app.less'; |
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class PageContent extends Component { | |
render() { | |
return ( | |
<div id="content" className="content"> | |
<BreadCrumbs align="left"> | |
<BreadCrumbs.Crumb href="#foo">foo</BreadCrumbs.Crumb> | |
<BreadCrumbs.Crumb href="#bar">bar</BreadCrumbs.Crumb> | |
<BreadCrumbs.Crumb href="#baz">baz</BreadCrumbs.Crumb> | |
</BreadCrumbs> | |
</div> |
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'use strict' | |
const _ = require('lodash') | |
const AppRoot = require('app-root-path') | |
const Util = require('util') | |
var Confidence = require('confidence'); | |
var manifest = { | |
buttons: { | |
// Panel control buttons (maximize, minimize, refresh, close) |
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** | |
* | |
* Examples: | |
* ~$% : aes-128-cbc | |
* ~$%#@ : aes-128-cbc-hmac-sha256 | |
* ! : aes128 | |
* ~ : INVALID (no cipher named just 'aes') | |
*/ | |
exports.cipherMap = { | |
'~' : { |
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Hi Justin, | |
I reviewed your resume and believe your background aligns well to a targeted position we’re hiring for. Would you be interested in discussing a Technical Account Manager opportunity within AWS? | |
AWS is growing at an amazing pace and we need industry professionals like yourself to guide our customers into the future of cloud computing. You will advise industry defining start-ups to Fortune 100 companies to be successful in the cloud; serving as the expert on the full line of AWS services; helping our customers design, deploy and support large scale applications. Companies like Shell, Samsung, NASA JPL, Nasdaq, Merck and Pinterest to name a few have come to rely on our Enterprise Support programs to help them run their AWS infrastructure. | |
Our AWS Technical Account Manager (TAM) is on the forefront of our largest and most innovative customers. It requires a unique person with broad technical acumen, and are an integral component to our enterprise customers experience with AWS. Our TAM’s are custom |
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<div style="font-family: sans-serif;"> | |
<? var data = valid(); ?> | |
<form id="form" name="form"> | |
<? if(Object.prototype.toString.call(data) === '[object Array]') { ?> | |
<? for (var i = 0; i < data.length; i++) { ?> | |
<? for (var j = 0; j < data[i].length; j++) { ?> | |
<input type="checkbox" id="ch<?= '' + i + j ?>" name="ch<?= '' + i + j ?>" value="<?= data[i][j] ?>"><?= data[i][j] ?><br> | |
<? } ?> | |
<? } ?> | |
<? } else { ?> |
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Question 1: | |
We would like to report for each employee - 'percentage of employees who joined the same department after the employee', 'percentage of company that joined after the employee', manager's name “in the same SQL query”. | |
Write the SQL in 3 or more ways. You can assume the database is either of them - mySQL, Postgres or Oracle syntax | |
Question 2: | |
Table: movies_watched | |
---------------- | |
userid | movieId | |
1 | A |
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Table Name: Employee | |
Employee_id First_name Last_name Salary Joining_date Department Order | |
---------------------------------------------------------------------------------------------- | |
1 Roy Thomas 700000 01-FEB-13 12.00.00 AM Banking 3 | |
2 Michael Clarke 800000 01-JAN-13 12.00.00 AM Insurance 2 | |
3 John Abraham 1000000 01-JAN-13 12.00.00 AM Banking 5 | |
4 Tom Jose 600000 01-FEB-13 12.00.00 AM Insurance 4 | |
5 TestName1 123 650000 01-JAN-13 12.00.00 AM Services 1 | |
6 Philip Mathew 750000 01-JAN-13 12.00.00 AM Services 8 |
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---- / both DE and DA candidates must have basic python | |
*Basic python: | |
different data structures, various operations on them | |
iterations, traversing through data structures | |
Data Engineer job id 7122 | |
• We are looking for a senior Data Integration Engineer that has relevant experience working in a highly scalable environment. | |
• Strong experience with SQL, must be very good hands on with SQL skills. Would be able to write SQL queries and play with various SQL databases. | |
• Must have experience with SQL, Hive/ Presto, big Data, Hadoop, and MySQL. | |
• ETL tool is similar to Airflow from AirBnb so, familiar with it is useful. |
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Table Name: Employee | |
Employee_id First_name Last_name Salary Joining_date Department Order | |
---------------------------------------------------------------------------------------------- | |
1 Roy Thomas 700000 01-FEB-13 12.00.00 AM Banking 3 | |
2 Michael Clarke 800000 01-JAN-13 12.00.00 AM Insurance 2 | |
3 John Abraham 1000000 01-JAN-13 12.00.00 AM Banking 5 | |
4 Tom Jose 600000 01-FEB-13 12.00.00 AM Insurance 4 | |
5 TestName1 123 650000 01-JAN-13 12.00.00 AM Services 1 | |
6 Philip Mathew 750000 01-JAN-13 12.00.00 AM Services 8 |