Google BigQuery for IoT Data Management and Analytics Training Course
Gain the skills you need to advance your career. This course offers hands-on learning, expert guidance, and real-world applications designed to help you grow.
Course Overview
| Course Title | Google BigQuery for IoT Data Management and Analytics Training Course |
| Organization | Tech For Development (T4D) |
| Venue | Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi |
| Target Industries |
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| Target Job Roles |
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| Course Fees (Face-to-Face) | USD 1,100/KES 75,000 (Exclusive of VAT) |
| Course Fees (Virtual) | TBA |
| Training Modes | Virtual and face-to-face training |
| Payment | Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course |
| Accreditation | Tech For Development Certificate of Course Completion |
Google BigQuery is a powerful data warehouse solution for managing and analyzing large volumes of data, including data from IoT devices. This course will teach participants how to leverage Google BigQuery for efficient IoT data management, analytics, and visualization. Participants will learn best practices for integrating IoT data into BigQuery, performing complex queries, and deriving actionable insights.
Duration
5 Days
Target Audience
- IoT Data Analysts
- Data Scientists
- Cloud Engineers
- Database Administrators
- Business Intelligence (BI) Analysts
- Data Engineers
- IT Professionals
- Data Architects
Personal Impact
- Acquire specialized skills in managing and analyzing IoT data with Google BigQuery.
- Enhance your ability to perform complex queries and data analysis.
- Develop expertise in leveraging cloud-based data solutions for IoT.
- Improve your data management and analytical capabilities.
- Boost your career prospects in data analytics and IoT data management.
Organizational Impact
- Improve the efficiency of IoT data management and analytics within the organization.
- Enable more informed decision-making through advanced data insights.
- Streamline data processing and integration workflows.
- Enhance data-driven strategies and operational efficiency.
- Foster a culture of data-driven decision-making and analytics.
Course Objectives
- Integrate IoT data into Google BigQuery for seamless management and analysis.
- Perform advanced queries and data manipulation using BigQuery SQL.
- Implement data processing and transformation pipelines for IoT data.
- Utilize BigQuery’s analytical capabilities to generate insights from IoT data.
- Create and manage dashboards and visualizations to communicate findings effectively.
Course Modules
Modules
Module 1: Introduction to Google BigQuery and IoT Data
- Overview of Google BigQuery
- Understanding IoT Data and Its Characteristics
- Integrating IoT Data with BigQuery
- Hands-On Exercise: Setting Up Google BigQuery for IoT Data
- Case Study: IoT Data Integration Scenarios
Module 2: Data Ingestion and Storage
- Ingesting IoT Data into BigQuery
- Data Formats and Schemas for IoT Data
- Optimizing Storage for Large Volumes of IoT Data
- Hands-On Exercise: Ingesting and Storing IoT Data
- Case Study: Data Storage Strategies for IoT
Module 3: Querying and Data Manipulation
- Writing and Executing BigQuery SQL Queries
- Data Transformation and Aggregation Techniques
- Handling Time-Series Data from IoT Devices
- Hands-On Exercise: Performing Advanced Queries on IoT Data
- Case Study: Querying IoT Data for Insights
Module 4: Analytics and Visualization
- Analyzing IoT Data with BigQuery’s Analytical Functions
- Creating Dashboards and Visualizations with Google Data Studio
- Using BigQuery ML for Predictive Analytics
- Hands-On Exercise: Building Visualizations and Dashboards
- Case Study: Visualization of IoT Analytics Results
Module 5: Best Practices and Optimization
- Performance Optimization for BigQuery Queries
- Managing Costs and Resources in BigQuery
- Ensuring Data Security and Compliance
- Hands-On Exercise: Optimizing BigQuery Performance and Cost
- Case Study: Best Practices in IoT Data Analytics
Course Administration
Methodology
This instructor-led training course is delivered using a blended learning approach comprising presentations, guided practical sessions, web-based tutorials, and group work.
Accreditation
Participants will receive a Tech For Development Certificate of Course Completion.
Training Venue
Held at the Tech For Development Training Centre.
Accommodation & Airport Transfer
Arranged upon request.
Email: letstalk@techfordevelopment.com
Phone: (+254) 790 824 179
Tailor-Made
Customised training available.
Payment
Send proof of payment to letstalk@techfordevelopment.com.
