Course Overview:

In Data Warehousing with BigQuery: Storage Design, Query Optimization, and Administration course, through a blend of engaging lectures, hands-on demos, and practical labs, you’ll gain the expertise to build, manage, and optimize your data warehouse for maximum performance and efficiency; you master these skills: 

  • Demystify the inner workings of BigQuery and understand how it scales to handle massive datasets. 
  • Learn best practices for structuring data for efficient ingestion, storage, and querying. 
  • Discover powerful techniques to accelerate queries and maximize data retrieval speed. 
  • Gain control over resource allocation and ensure smooth performance even under high demand. 
  • Leverage valuable tools to track BigQuery activity and identify potential issues. 
  • Understand the different pricing options and make informed decisions for cost-effective data warehousing. 
  • Implement robust security measures to protect your sensitive data within BigQuery. 
  • Automate routine tasks and workflows for effortless data pipeline management. 
  • Leverage the power of machine learning directly within BigQuery to extract hidden insights from your data.

Data Warehousing with BigQuery - What You'll Learn:

  • Delve into the intricate architecture of BigQuery, understanding how it scales effortlessly to handle vast data volumes.
  • Master optimal storage and schema design patterns to ensure lightning-fast data ingestion, efficient storage, and blazing-quick queries.
  • Implement data manipulation language (DML) and schedule data transfers like a pro, seamlessly feeding your BigQuery warehouse with valuable information.
  • Discover best practices to skyrocket read efficiency and optimize query performance, leaving slow data retrieval in the dust.
  • Take control of your data warehouse by mastering capacity management and automating workloads for smooth operation, even under heavy demand.
  • Patterns and Anti-Patterns: Recognize the secret sauce of optimized queries and identify anti-patterns to eliminate roadblocks and maximize read performance.
  • Leverage logging and monitoring tools to gain deep understanding of your usage patterns and fine-tune your BigQuery setup for optimal efficiency.
  • Apply robust security best practices to ensure your data and resources are always under lock and key.
  • Build and deploy powerful machine learning models across various categories with BigQuery ML, unlocking hidden insights from your data and propelling your analysis to new heights.

Upcoming Batches

Enroll Online
Start Date End Date

2024-11-25

2024-11-28

2024-12-02

2024-12-05

2024-12-09

2024-12-12

2024-12-16

2024-12-19

2024-12-23

2024-12-26

Data Warehousing with BigQuery: Key Features

  • Our Google Cloud Platform training modules have 50% - 60% hands-on lab sessions to encourage Thinking-Based Learning (TBL).
  • Interactive-rich virtual and face-to-face classroom teaching to inculcate Problem-Based Learning (PBL).
  • GCP-certified instructor-led training and mentoring sessions to develop Competency-Based Learning (CBL).
  • Well-structured Case Studies to simulate challenges encountered in a Real-World environment during Google Cloud Platform training.
  • Integrated teaching assistance and support through an experts-designed Learning Management System (LMS) and ExamReady platform.
  • Being an official Google Cloud Platform Training Partner, we offer authored curricula aligned with industry standards.

Who Should Attend this Course, "Data Warehousing with BigQuery":

  • Data analysts, data scientists, data engineers, and developers who perform work on a scale that requires advanced BigQuery internals knowledge to optimize.

What are the prerequisites for the training?

    To get the most out of this course, participants should have:
  • Knowledge of Big Data and Machine Learning Fundamentals

    • Learning objective of the course:

    • Design high-performance BigQuery data warehouses optimized for massive data volumes.
    • Supercharge queries with best practices for lightning-fast data retrieval and minimal slowdown.
    • Master data pipeline management with seamless data ingestion, automation, and scheduling.
    • Allocate resources like a pro, ensuring smooth BigQuery operation even under peak demand.
    • Implement robust security measures to safeguard your data within the BigQuery fortress.
    • Unlock hidden insights with BigQuery ML and build powerful machine learning models for advanced data analysis.

    Why choose CloudThat as a "Data Warehousing with BigQuery " training partner?

    • Specialized GCP Focus: CloudThat specializes in cloud technologies, offering focused and specialized training programs. We are Authorized Trainers for the Google Cloud Platform. This specialization ensures in-depth coverage of GCP services, use cases, best practices, and hands-on experience explicitly tailored for GCP.
    • Industry-Recognized Trainers: CloudThat has a strong pool of industry-recognized trainers certified by GCP. These trainers bring real-world experience and practical insights into the training sessions, comprehensively understanding how GCP is applied in different industries and scenarios.
    • Hands-On Learning Approach: CloudThat emphasizes a hands-on learning approach. Learners can access practical labs, real-world projects, and case studies that simulate actual GCP environments. This approach allows learners to apply theoretical knowledge in practical scenarios, enhancing their understanding and skill set.
    • Customized Learning Paths: CloudThat understands that learners have different levels of expertise and varied learning objectives. We offer customized learning paths, catering to beginners, intermediate learners, and professionals seeking advanced GCP skills.
    • Interactive Learning Experience: CloudThat's training programs are designed to be interactive and engaging. We utilize various teaching methodologies like live sessions, group discussions, quizzes, and mentorship to keep learners engaged and motivated throughout the course.
    • Placement Assistance and Career Support: CloudThat often provides placement assistance and career support services. This includes resume building, interview preparation, and connecting learners with job opportunities through our network of industry partners and companies looking for GCP-certified professionals.
    • Continuous Learning and Updates: CloudThat ensures that our course content is regularly updated to reflect the latest trends, updates, and best practices within the GCP ecosystem. This commitment to keeping the content current enables learners to stay ahead in their GCP knowledge.
    • Positive Reviews and Testimonials: Reviews and testimonials from past learners can strongly indicate the quality of training provided. You can Check feedback and reviews about our GCP courses that can provide potential learners with insights into the effectiveness and value of the training.

    Course modules: Download Course Outline

    Topics:

    • Introduction
    • BigQuery Core Infrastructure
    • BigQuery Storage
    • BigQuery Query Processing
    • BigQuery Data Shuffling

    Activities:

    • Labs and demos

    Topics:

    • BigQuery Storage
    • Partitioning and Clustering
    • Nested and Repeated Fields
    • ARRAY and STRUCT syntax
    • Best Practices

    Activities:

    • Labs and demos

    Topics:

    • Data Ingestion Options
    • Batch Ingestion
    • Streaming Ingestion
    • Legacy Streaming API
    • BigQuery Storage Write API
    • Query Materialization
    • Query External Data Sources
    • Data Transfer Service

    Activities:

    • Labs and demos

    Topics:

    • Managing Change in Data Warehouses
    • Handling Slowly Changing Dimensions (SCD)
    • DML statements
    • DML Best Practices and Common Issues

    Topics:

    • BigQuery’s Cache
    • Materialized Views
    • BI Engine
    • High Throughput Reads
    • BigQuery Storage Read API

    Activities:

    • Labs and demos

    Topics:

    • Topics: Simple Query Execution
    • SELECTs and Aggregation
    • JOINs and Skewed JOINs
    • Filtering and Ordering
    • Best Practices for Functions

    Activities:

    • Labs and demos

    Topics:

    • BigQuery Slots
    • Pricing Models and Estimates
    • Slot Reservations
    • Controlling Costs

    Activities:

    • Demos

    Topics:

    • Cloud Monitoring
    • BigQuery Admin Panel
    • Cloud Audit Logs
    • INFORMATION_SCHEMA
    • Query Path and Common Errors

    Activities:

    • Labs & Demos

    Topics:

    • Secure Resources with IAM
    • Authorized Views
    • Secure Data with Classification
    • Encryption
    • Data Discovery and Governance

    Activities:

    • Labs & Demos

    Topics:

    • Scheduling Queries
    • Scripting
    • Stored Procedures
    • Integration with Big Data Products

    Activities:

    • Demos

    Topics:

    • Introduction to BigQuery ML
    • How to Make Predictions with BigQuery ML
    • How to Build and Deploy a Recommendation System with BigQuery ML
    • How to Build and Deploy a Demand Forecasting Solution with BigQuery ML
    • Time-Series Models with BigQuery ML
    • BigQuery ML Explainability

    Activities:

    • Labs & Demos

    Course Fee

    Select Course date

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    Course ID: 19480

    Course Price at

    $1199 + 0% TAX
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    Frequently Asked Questions

    This course is designed for intermediate-level data analysts, data scientists, data engineers, and developers who already have some foundational knowledge of BigQuery and data warehousing concepts.

    You'll master several critical skills, including: Demystifying BigQuery architecture and scaling for massive datasets. Designing optimal storage and schema patterns for efficient data ingestion, storage, and querying. Implementing DML and scheduling data transfers seamlessly. Optimizing query performance and maximizing read efficiency. Managing capacity and automating workloads for smooth operation. Identifying patterns and anti-patterns for optimized queries. Leveraging logging and monitoring tools for optimal BigQuery setup. Implementing robust security best practices for data protection. Building and deploying machine learning models with BigQuery ML for deeper data insights.

    By the end of the course, you'll be able to: Design, build, and manage a high-performance BigQuery data warehouse. Optimize data ingestion, storage, and retrieval for maximum efficiency. Secure your data and resources with robust security measures. Automate data pipeline management and workloads. Leverage BigQuery ML to unlock hidden insights from your data. Make informed decisions based on data-driven insights.

    A basic understanding of Big Data and Machine Learning Fundamentals is recommended.

    Become a GCP Powerhouse: Our Authorized Trainers, recognized industry experts, deliver in-depth knowledge and practical experience for a career boost. Learn by Doing: Immerse yourself in hands-on labs, real-world projects, and case studies to solidify your skills and become a confident BigQuery architect. Find Your Perfect Path: We offer customized learning paths for beginners, intermediates, and advanced learners, ensuring your training meets your specific needs. Stay Engaged, Stay Ahead: Experience interactive learning with diverse methods and personalized mentorship, keeping you motivated and up-to-date. Launch Your Career: We go beyond training with resume building, interview prep, and networking opportunities to help you land your dream GCP job. Future-Proof Your Skills: Our curriculum is constantly updated with the latest industry trends and best practices, ensuring you stay ahead of the curve. Join a Community of Success: Benefit from positive reviews and testimonials from past learners who have mastered BigQuery with CloudThat. Choose CloudThat and unlock your full potential as a BigQuery master. Invest in your future, one data-driven insight at a time.

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