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Чтение новостей помогает быть в курсе событий в мире, анализировать происходящее и сформировывать свою позицию. Но где находить качественные новостные ресурсы? Вот немного хороших ответов, с чего начать поиск.

Официальные веб-сайты СМИ

Самое очевидное  входить на официальные сайты фаворитных газет, телеканалов и радиостанций. Найдите в поисковике сайты федеральных, региональных и зарубежных СМИ, которые вас интересуют. Примеры: BBC, New York Times, Медуза, РБК, Коммерсантъ, Интерфакс.

Агрегаторы новостей

Сервисы-агрегаторы собирают анонсы со огромного количества источников и позволяют экономить время. Известные агрегаторы: Гугл Новости, Яндекс.Новости, NewsNow, Inoreader, Feedly.

Тема и нишевые ресурсы

Если интересуетесь определённой темой, ищите специализированные новостные порталы. К примеру, Хабр  для IT-новостей, Спорт-Экспресс  о спорте,   про бизнес и технологии.

Соц сети и мессенджеры

Многие СМИ водят официальные каналы в Telegram, VK, на YouTube. Подпишитесь на любимые источники, чтоб получать анонсы напрямую, не заходя на сайт.

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Подпишитесь на email-рассылки от популярных ресурсов либо тематических дайджестов  это экономит время и подсобляет быть в курсе основного.

Как проверить качество ресурса

Направьте внимание на последующие моменты:

- История ресурса и репутация
- Прозрачность хозяев и редакции
- Источники информации и указание первоисточников
- Наличие независящей проверки информации

Часто обновляйте свою новостную ленту, чтоб получать разнородные точки зрения и быть по-истинному информированным!

A white hacker, also known as an fair hacker, is a cybersecurity experienced who uses their skills to keep individuals, organizations, and culture from cyber threats. Unlike black hat hackers, who manoeuvre vulnerabilities notwithstanding dear gain ground or malicious less, cadaverous hackers under way within the law and with sufferance to innervate digital defenses.

The Role of the White Hacker

In the modern digital maturity, cyber threats https://pyhack.pro/ are part—from malware and ransomware to phishing attacks and data breaches. Wan hackers are the “extensive guys” who exchange blows with back against these dangers. Their first responsibilities include:

Identifying surveillance vulnerabilities ahead criminals can manoeuvre them
Performing sentience testing (simulated cyber attacks on systems)
Helping develop and execute deposit protocols and foremost practices
Educating users and organizations about cyber risks
Responding to incidents and ration recapture from attacks

What Makes Light-skinned Hackers Gear Defenders

White hackers associate technical adroitness with a sinewy upright code. Their whip into shape is authorized via the systems’ owners, and their target is often to go technology safer. Here are some qualities that win them conspicuous:

Deep compact of networks, software, and hacking techniques
Curiosity and creative problem-solving skills
Up-to-date grasp of the latest threats and protections
Commitment to permissible and proper standards

Fair-skinned Hackers in Vigour

Take it as given a distinguished corporation distraught fro hackers targeting their customer data. They weight fee a white hacker to test to “ameliorate in” to their network. The milk-white hacker finds delicate spots, such as outdated software or unprofessionally configured certainty controls, and then reports these issues confidentially to the company. The business then fixes the problems, closing the doors to real attackers.

Tools and Techniques

Virtuous hackers use sundry of the same tools as cybercriminals, but for a suitable cause. Some celebrated methods and tools comprehend:

Network scanning with tools like Nmap
Vulnerability scanning and exploitation with frameworks like Metasploit
Watchword cracking tools, habituated to to evaluation watchword muscle
Custom scripts in Python or other languages to automate tests
Public engineering tests to log in investigate how employees come back to phishing

The Importance of Silver Hackers in Today’s In all respects

As technology evolves, so do the tactics of cybercriminals. Undefiled hackers are decisive for defending sensitive facts, protecting retreat, and ensuring the trustworthiness of digital services. Governments, banks, hospitals, and set schools rely on their efforts to support a step before of attackers.

Conclusion

White hackers are defenders standing protection in the circle of cyber threats. Their skills, creativity, and ethical commitment nick screen people and organizations from the growing dangers of the digital world. Beside thinking like attackers but acting as protectors, unsullied hackers perform a central position in making our internet a safer place for everyone.

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In today’s data-driven business world, SQL (Structured Query Language) is one of the most important tools for anyone involved in business analytics. Whether you’re just starting out or aiming to become a PRO, learning SQL can unlock the secrets hidden inside massive datasets and drive better business decisions.

Why SQL Matters in Business Analytics

Businesses collect huge amounts of data from sales https://sqlmaxipro.pro/ marketing, customer service, and other operations. SQL is the universal language used to communicate with databases, extract insights, and turn raw data into strategies that boost profits and growth. Analysts, managers, data scientists, and even executives use SQL for:

Fetching relevant data quickly
Analyzing trends, patterns, and behaviors
Creating reports for decision-making
Automating data processes

Starting from Scratch

If you’re new to SQL, don’t worry—getting started is easier than you think. Here’s the typical learning journey:

1. Understanding databases
Begin by learning what databases are and how they store information in tables.

2. Basic SQL commands
Master fundamentals like SELECT, INSERT, UPDATE, DELETE, and simple WHERE clauses to retrieve and manipulate data.

3. Filtering and sorting
Learn how to use filters (WHERE) and sort results (ORDER BY) to narrow down large datasets.

4. Joining tables
Real-world databases have multiple tables. Knowing how to JOIN them is critical for combining different sources of data.

Leveling Up: Intermediate Concepts

Once you’re comfortable with the basics, it’s time to dive deeper:

Aggregate functions – SUM, AVG, COUNT, MIN, MAX for summary analysis
GROUP BY and HAVING – for grouping data and filtering aggregated results
Subqueries and nested SELECTs – for advanced queries and custom insights
Indexes and database optimization – to handle large datasets faster
Data cleaning and transformation within SQL

From Analyst to PRO

Advanced SQL skills can set you apart in the world of business analytics. Pros know how to:

Write complex queries involving multiple tables and conditions
Build automated reporting dashboards
Implement data validation and quality checks
Optimize queries for performance on large databases
Integrate SQL with analytics tools like Tableau, Power BI, or Python

Real-World Example

Suppose you work in retail analytics. Using SQL, you can quickly find the top-selling products, analyze customer purchase habits, or identify regions where sales are dropping. With a few well-crafted queries, you could generate actionable insights and share them with your team, influencing the company’s strategy.

Tips for Success

Practice SQL every day—use online platforms and sample databases
Solve real business problems for hands-on learning
Stay updated with advanced techniques and new SQL features
Collaborate with other analysts to learn different approaches
Document your queries and share your knowledge

Conclusion

Mastering SQL opens the gateway to powerful business analytics. From scratch to PRO, each level of SQL builds your ability to transform raw data into valuable business strategies. In the modern business world, SQL isn’t just a technical skill—it’s a strategic superpower. Start your journey today and become the data-driven professional every organization needs!

УОН 212.192.55.x ·±нУЪ 2025-4-30 07:22
A white hacker, also known as an fair hacker, is a cybersecurity experienced who uses their skills t ...

In today’s data-driven business world, SQL (Structured Query Language) is one of the most important tools for anyone involved in business analytics. Whether you’re just starting out or aiming to become a PRO, learning SQL can unlock the secrets hidden inside massive datasets and drive better business decisions.

Why SQL Matters in Business Analytics

Businesses collect huge amounts of data from sales https://sqlmaxipro.pro/ marketing, customer service, and other operations. SQL is the universal language used to communicate with databases, extract insights, and turn raw data into strategies that boost profits and growth. Analysts, managers, data scientists, and even executives use SQL for:

Fetching relevant data quickly
Analyzing trends, patterns, and behaviors
Creating reports for decision-making
Automating data processes

Starting from Scratch

If you’re new to SQL, don’t worry—getting started is easier than you think. Here’s the typical learning journey:

1. Understanding databases
Begin by learning what databases are and how they store information in tables.

2. Basic SQL commands
Master fundamentals like SELECT, INSERT, UPDATE, DELETE, and simple WHERE clauses to retrieve and manipulate data.

3. Filtering and sorting
Learn how to use filters (WHERE) and sort results (ORDER BY) to narrow down large datasets.

4. Joining tables
Real-world databases have multiple tables. Knowing how to JOIN them is critical for combining different sources of data.

Leveling Up: Intermediate Concepts

Once you’re comfortable with the basics, it’s time to dive deeper:

Aggregate functions – SUM, AVG, COUNT, MIN, MAX for summary analysis
GROUP BY and HAVING – for grouping data and filtering aggregated results
Subqueries and nested SELECTs – for advanced queries and custom insights
Indexes and database optimization – to handle large datasets faster
Data cleaning and transformation within SQL

From Analyst to PRO

Advanced SQL skills can set you apart in the world of business analytics. Pros know how to:

Write complex queries involving multiple tables and conditions
Build automated reporting dashboards
Implement data validation and quality checks
Optimize queries for performance on large databases
Integrate SQL with analytics tools like Tableau, Power BI, or Python

Real-World Example

Suppose you work in retail analytics. Using SQL, you can quickly find the top-selling products, analyze customer purchase habits, or identify regions where sales are dropping. With a few well-crafted queries, you could generate actionable insights and share them with your team, influencing the company’s strategy.

Tips for Success

Practice SQL every day—use online platforms and sample databases
Solve real business problems for hands-on learning
Stay updated with advanced techniques and new SQL features
Collaborate with other analysts to learn different approaches
Document your queries and share your knowledge

Conclusion

Mastering SQL opens the gateway to powerful business analytics. From scratch to PRO, each level of SQL builds your ability to transform raw data into valuable business strategies. In the modern business world, SQL isn’t just a technical skill—it’s a strategic superpower. Start your journey today and become the data-driven professional every organization needs!

УОН 176.9.125.x ·±нУЪ 2025-2-17 22:24
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In today’s data-driven business world, SQL (Structured Query Language) is one of the most important tools for anyone involved in business analytics. Whether you’re just starting out or aiming to become a PRO, learning SQL can unlock the secrets hidden inside massive datasets and drive better business decisions.

Why SQL Matters in Business Analytics

Businesses collect huge amounts of data from sales https://sqlmaxipro.pro/ marketing, customer service, and other operations. SQL is the universal language used to communicate with databases, extract insights, and turn raw data into strategies that boost profits and growth. Analysts, managers, data scientists, and even executives use SQL for:

Fetching relevant data quickly
Analyzing trends, patterns, and behaviors
Creating reports for decision-making
Automating data processes

Starting from Scratch

If you’re new to SQL, don’t worry—getting started is easier than you think. Here’s the typical learning journey:

1. Understanding databases
Begin by learning what databases are and how they store information in tables.

2. Basic SQL commands
Master fundamentals like SELECT, INSERT, UPDATE, DELETE, and simple WHERE clauses to retrieve and manipulate data.

3. Filtering and sorting
Learn how to use filters (WHERE) and sort results (ORDER BY) to narrow down large datasets.

4. Joining tables
Real-world databases have multiple tables. Knowing how to JOIN them is critical for combining different sources of data.

Leveling Up: Intermediate Concepts

Once you’re comfortable with the basics, it’s time to dive deeper:

Aggregate functions – SUM, AVG, COUNT, MIN, MAX for summary analysis
GROUP BY and HAVING – for grouping data and filtering aggregated results
Subqueries and nested SELECTs – for advanced queries and custom insights
Indexes and database optimization – to handle large datasets faster
Data cleaning and transformation within SQL

From Analyst to PRO

Advanced SQL skills can set you apart in the world of business analytics. Pros know how to:

Write complex queries involving multiple tables and conditions
Build automated reporting dashboards
Implement data validation and quality checks
Optimize queries for performance on large databases
Integrate SQL with analytics tools like Tableau, Power BI, or Python

Real-World Example

Suppose you work in retail analytics. Using SQL, you can quickly find the top-selling products, analyze customer purchase habits, or identify regions where sales are dropping. With a few well-crafted queries, you could generate actionable insights and share them with your team, influencing the company’s strategy.

Tips for Success

Practice SQL every day—use online platforms and sample databases
Solve real business problems for hands-on learning
Stay updated with advanced techniques and new SQL features
Collaborate with other analysts to learn different approaches
Document your queries and share your knowledge

Conclusion

Mastering SQL opens the gateway to powerful business analytics. From scratch to PRO, each level of SQL builds your ability to transform raw data into valuable business strategies. In the modern business world, SQL isn’t just a technical skill—it’s a strategic superpower. Start your journey today and become the data-driven professional every organization needs!