Free Download SQL & BigQuery Mastery Techniques & interview problems
Published 6/2024
Created by Vinay Karode
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 79 Lectures ( 6h 20m ) | Size: 5.22 GB
Learn SQL and BigQuery: Master Data Manipulation, Performance Tuning, and Cloud Integration
What you'll learn:
Master BigQuery: Gain hands-on experience with BigQuery's unique functions, real-world problem sets, and advanced data manipulation techniques
Advanced SQL Skills: Learn complex joins, window functions, recursive queries, and handle advanced data types like GIS data for enhanced analysis.
Optimize Performance: Develop skills in BigQuery-specific performance tuning, cost management, and index tuning for efficient data processing.
Cloud Integration: Integrate BigQuery with Google Cloud services, learn data integration best practices, and use BigQuery ML for machine learning applications.
Requirements:
Basic Computer Skills: Familiarity with basic computer operations and navigation.
Internet Access: A stable internet connection for accessing online course materials and BigQuery.
Google Account: A Google account to access BigQuery and other Google Cloud services.
No Prior SQL Knowledge Required: This course starts from the basics, making it accessible for beginners with no prior experience in SQL or databases.
Description:
Unlock the full potential of SQL and Google BigQuery with our comprehensive course designed for aspiring data analysts, business professionals, students, and IT experts. From mastering the basics of SQL syntax to diving into advanced querying techniques and performance tuning, this course covers it all.What You'll Learn:SQL Fundamentals: Understanding SQL syntax, relational databases, and data types.BigQuery Essentials: Introduction to BigQuery, its architecture, and unique advantages.Data Manipulation: Mastering SELECT, INSERT, UPDATE, and DELETE statements.Advanced Querying Techniques: Using subqueries, joins, set operations, and BigQuery-specific functions.Performance Tuning: Query optimization techniques, cost management, and index tuning.Complex Data Analysis: Working with window functions, recursive queries, and large datasets.Database Design: Principles of normalization, designing efficient tables, and implementing constraints.BigQuery Integration: Interacting with Google Cloud services, data integration with Pub/Sub, and using BigQuery ML.Database Administration: Backup and recovery strategies, user management, and security best practices.Real-World Problem Sets: Solving practical challenges and preparing for job interviews with targeted problems.Why This Course?Hands-on Experience: Engage with practical problem sets and projects to apply your learning.Comprehensive Coverage: From beginner to advanced topics, ensuring a thorough understanding of SQL and BigQuery.Expert Guidance: Step-by-step instructions and tips from industry professionals.Job-Ready Skills: Focus on real-world applications and interview preparation to boost your career prospects.Cloud Integration: Learn to seamlessly integrate BigQuery with other Google Cloud services.Cost Optimization: Techniques to manage and optimize costs effectively while working with large datasets.Performance Focus: In-depth performance tuning strategies to handle complex queries and large-scale data.Security Best Practices: Implementing robust security measures to protect data.Community Support: Access to a community of learners and experts for continuous learning and support.Whether you're a beginner or an experienced professional, this course will equip you with the skills needed to excel in the world of data analysis and tackle interview challenges with confidence. Enroll now and start your journey to SQL and BigQuery mastery!
Who this course is for:
Aspiring Data Analysts: Individuals looking to start a career in data analysis and gain proficiency in SQL and Google BigQuery.
Business Professionals: Those who want to leverage data to drive business decisions and optimize performance.
Students and Educators: Learners and teachers seeking to enhance their understanding of databases and data manipulation for academic purposes.
Developers and IT Professionals: Developers and IT professionals aiming to expand their skill set with advanced querying techniques and integration of BigQuery with other Google Cloud services.
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