We may earn an affiliate commission when you visit our partners.
Course image
Course image
Coursera logo

كيفية استخدام ال SQL مع قواعد البيانات الكبيرة

Abdelrahman Tarek Hafez
فى نهاية هذا المشروع ، ستكون قادرًا على كتابة queries بشكل احترافي بأداء أفضل باستخدام أساليب SQL لتحسين أداء queries وتسريع وقت التنفيذ.خلال المشروع، هتقدر تنفذ الخطوات المهمة لضبط queries. يعتبر تحسين قاعدة البيانات أمرًا ضروريًا لتنظيم بيانات قاعدة...
Read more
فى نهاية هذا المشروع ، ستكون قادرًا على كتابة queries بشكل احترافي بأداء أفضل باستخدام أساليب SQL لتحسين أداء queries وتسريع وقت التنفيذ.خلال المشروع، هتقدر تنفذ الخطوات المهمة لضبط queries. يعتبر تحسين قاعدة البيانات أمرًا ضروريًا لتنظيم بيانات قاعدة البيانات والوصول إليها بسهولة عن طريق إنشاء أنواع من indexes لتحسين الأداء. , و هتقدر أيضًا تنشئ ملخص الجداول وتدخال البيانات بعد عمل وظائف حسابية عليها. واخيرا هتقدر تنفذ queries باستخدام Explain and Explain Analyze. هذا المشروع الارشادى مخصص للأشخاص الذين لديهم خبرة متوسطة في مجال هندسة البيانات والبيانات. الأشخاص الذين يرغبون في معرفة كيفية تحسين أداء queries وتسريع وقت التنفيذ. يعتبر تحسين كتابة ال queries مع التعامل مع قواعد بيانات كبيرة هى من اهم الخطوات فى ال SQL. فالهدف من تحسين كتابة ال QUERY هو تقليل موارد النظام اللى بنستعملها فى تنفيذ ال QUERY, و تقليل ال COST. و اخيرا نوصل للنتائج بطريقة اسرع.
Enroll now

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
This course educates professionals on SQL techniques for enhancing query performance and minimizing execution time
Suitable for data engineers and data scientists seeking to elevate their SQL proficiency
Incorporates crucial query tuning techniques
Explores essential database optimization strategies through the creation of indexes
Emphasizes understanding query performance using 'Explain' and 'Explain Analyze'
Prior SQL proficiency is recommended for optimal learning

Save this course

Save كيفية استخدام ال SQL مع قواعد البيانات الكبيرة to your list so you can find it easily later:
Save

Activities

Coming soon We're preparing activities for كيفية استخدام ال SQL مع قواعد البيانات الكبيرة. These are activities you can do either before, during, or after a course.

Career center

Learners who complete كيفية استخدام ال SQL مع قواعد البيانات الكبيرة will develop knowledge and skills that may be useful to these careers:
Data Engineer
A Data Engineer designs, builds, and maintains the infrastructure and processes that are used to store and manage data. This involves working with data architects, data analysts, and other IT professionals to ensure that data is available, reliable, and secure. Data Engineers use a variety of tools and technologies, including SQL, to build and manage data pipelines, data warehouses, and data lakes. This course can help Data Engineers build a strong foundation in SQL, enabling them to design and build efficient data management systems and gain insights from data.
ETL Developer
An ETL Developer designs and develops software that extracts, transforms, and loads data from multiple sources into a single, unified data store. This involves working with data architects, data engineers, and other IT professionals to ensure that data is extracted, transformed, and loaded in a consistent and efficient manner. ETL Developers also use SQL to access and analyze data from databases.
Data Architect
A Data Architect is responsible for designing, building, and maintaining data management systems. This involves working with business leaders to understand their data needs, designing data models, and choosing the right technologies to store and manage data. Data Architects also develop and implement data governance policies and procedures to ensure that data is used in a consistent and secure manner. As SQL is the standard language for managing and querying data, this course can help Data Architects build a strong foundation in SQL, enabling them to design and build efficient data management systems and gain insights from data.
Database Modeler
A Database Modeler designs and creates data models that represent the structure and relationships of data in a database. This involves working with data architects, data engineers, and other IT professionals to ensure that data models are accurate and efficient. Database Modelers also use SQL to create and manage databases.
Data Analyst
A Data Analyst leverages data to help businesses understand their customers, products, and markets, helping them make more informed decisions. By finding, validating, and analyzing data, Data Analysts gain insights that companies can use to acquire customers, optimize operations, and increase revenue. They use structured query languages (SQL) to develop, test, and maintain databases and to analyze data. Many Data Analysts specialize in big data analytics, which involves using SQL and other specialized tools to analyze large datasets, including those from social media, sensors, and transactional records. For this reason, this course may be particularly helpful for Data Analysts who wish to advance in their career or those interested in specializing in big data.
Database Administrator
A Database Administrator (DBA) is responsible for the day-to-day operation and maintenance of databases. This involves managing user access, creating and maintaining database backups, and ensuring that databases are performing optimally. DBAs also work with other IT professionals to ensure that databases are integrated with other systems and applications. This course can help DBAs build a strong foundation in SQL, enabling them to manage and optimize databases efficiently.
Big Data Engineer
A Big Data Engineer designs, builds, and maintains the infrastructure and processes that are used to store and manage big data. This involves working with data architects, data engineers, and other IT professionals to ensure that big data is available, reliable, and secure. Big Data Engineers also use a variety of tools and technologies, including SQL, to build and manage big data pipelines, data warehouses, and data lakes.
Data Integration Architect
A Data Integration Architect designs and implements solutions for integrating data from multiple sources. This involves working with data architects, data engineers, and other IT professionals to ensure that data is integrated in a consistent and efficient manner. Data Integration Architects also use SQL to access and analyze data from databases.
Data Scientist
A Data Scientist uses data to build models that can be used to predict future events or outcomes. This involves gathering and cleaning data, building models, and evaluating the results. Data Scientists also use SQL to access and analyze data from databases. This course can help Data Scientists build a strong foundation in SQL, enabling them to gather and analyze data more efficiently and effectively.
Business Analyst
A Business Analyst works with business stakeholders to understand their needs and develop solutions that meet those needs. This involves gathering and analyzing data, developing business requirements, and creating documentation. Business Analysts also use SQL to access and analyze data from databases. This course can help Business Analysts build a strong foundation in SQL, enabling them to gather and analyze data more efficiently and effectively.
Performance Analyst
A Performance Analyst identifies and resolves performance issues in software applications and systems. This involves analyzing performance data, tuning code, and working with other engineers to improve the performance of software applications and systems. Performance Analysts also use SQL to access and analyze performance data from databases.
Information Security Analyst
An Information Security Analyst is responsible for protecting an organization's data and systems from unauthorized access, use, disclosure, disruption, modification, or destruction. This involves implementing and maintaining security measures, such as firewalls and intrusion detection systems, and responding to security incidents. Information Security Analysts also use SQL to analyze security data and identify potential threats.
Systems Administrator
A Systems Administrator is responsible for the day-to-day operation and maintenance of computer systems and networks. This involves installing and configuring software, monitoring system performance, and resolving system issues. Systems Administrators also use SQL to access and analyze system data from databases.
Web Developer
A Web Developer designs, develops, and maintains websites. This involves working with other developers, designers, and content writers to create websites that are user-friendly, functional, and visually appealing. Web Developers also use SQL to access and analyze data from databases.
Software Engineer
A Software Engineer designs, develops, and tests software applications. This involves working with other engineers, product managers, and designers to gather requirements, design software solutions, and write code. Software Engineers also use SQL to access and analyze data from databases.

Reading list

We've selected 18 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in كيفية استخدام ال SQL مع قواعد البيانات الكبيرة.
A comprehensive guide to MySQL performance tuning, optimization, and administration, with a focus on large databases. Covers topics such as query optimization, indexing strategies, replication techniques, and backup and recovery best practices.
Provides a comprehensive guide to SQL tuning for MySQL databases. It covers topics such as query optimization, execution plans, and performance monitoring. This book good option for anyone who is looking to improve the performance of their SQL queries on MySQL databases.
Provides a comprehensive guide to SQL tuning for SQL Server databases. It covers topics such as query optimization, execution plans, and performance monitoring. This book good option for anyone who is looking to improve the performance of their SQL queries on SQL Server databases.
Provides a comprehensive guide to SQL tuning for PostgreSQL databases. It covers topics such as query optimization, execution plans, and performance monitoring. This book good option for anyone who is looking to improve the performance of their SQL queries on PostgreSQL databases.
A comprehensive overview of data management and database design principles, with a focus on large-scale applications. Covers topics such as data modeling, database sharding, data consistency, and scalability.
A classic guide to data warehousing and dimensional modeling, providing a step-by-step approach to designing and implementing data warehouses for business intelligence and analytics.
A comprehensive guide to the Hadoop ecosystem, covering the core components such as HDFS, MapReduce, and Hive, as well as best practices for data processing and analysis at scale.
A comprehensive guide to Elasticsearch, covering all aspects of the search engine from installation and configuration to query optimization and performance tuning.
A practical guide to writing efficient and effective SQL queries, with a focus on real-world examples and best practices.
A comprehensive guide to Cassandra, covering all aspects of the NoSQL database from installation and configuration to query optimization and performance tuning.
A comprehensive guide to MongoDB, covering all aspects of the NoSQL database from installation and configuration to query optimization and performance tuning.
A practical guide to data science with R, covering all aspects of the language from data manipulation and visualization to statistical modeling and machine learning.
Provides a comprehensive guide to data warehousing with SQL. It covers topics such as data modeling, data integration, and data analysis. This book good option for anyone looking to learn how to use SQL for data warehousing.
A comprehensive guide to Git, covering all aspects of the version control system from installation and configuration to branching, merging, and conflict resolution.
A comprehensive guide to the Linux operating system, covering all aspects from installation and configuration to system administration and troubleshooting.
A beginner-friendly guide to Python programming, covering all aspects of the language from basic syntax and data types to object-oriented programming and data structures.
Provides a comprehensive guide to SQL for beginners. It covers topics such as data types, operators, and queries. This book good option for anyone who is new to SQL and wants to learn the basics.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to كيفية استخدام ال SQL مع قواعد البيانات الكبيرة.
SQL تحسين أداء وضبط أوامر
Most relevant
Excel والمخططات المتقدمة فى Pivotاستخدام جداول و مخططات...
Most relevant
إنشاء المخططات و لوحات المعلومات باستخدام Microsoft Excel
Most relevant
الترجيح الإحصائي أو Statistical Weighting فى Microsoft...
Most relevant
Microsoft Excel حسابات البيانات في
Most relevant
Microsoft Excel التنسيق المخصص والشرطي في
Most relevant
SQL تأكيد صحة البيانات فى
Most relevant
كيفيه انشاء API call باستخدام PHP and MYSQL
Most relevant
Linux تكنولوجيا المعلومات مع
Most relevant
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser