Google BigQuery for IoT Data Management and Analytics Training Course

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

Who Should Attend

1. IoT Data Analysts
2. Data Scientists
3. Cloud Engineers
4. Database Administrators
5. Business Intelligence (BI) Analysts
6. Data Engineers
7. IT Professionals
8. Data Architects

Personal Impact

1. Acquire specialized skills in managing and analyzing IoT data with Google BigQuery.
2. Enhance your ability to perform complex queries and data analysis.
3. Develop expertise in leveraging cloud-based data solutions for IoT.
4. Improve your data management and analytical capabilities.
5. Boost your career prospects in data analytics and IoT data management.

Organizational Impact

1. Improve the efficiency of IoT data management and analytics within the organization.
2. Enable more informed decision-making through advanced data insights.
3. Streamline data processing and integration workflows.
4. Enhance data-driven strategies and operational efficiency.
5. Foster a culture of data-driven decision-making and analytics.

Course Objectives

1. Integrate IoT data into Google BigQuery for seamless management and analysis.
2. Perform advanced queries and data manipulation using BigQuery SQL.
3. Implement data processing and transformation pipelines for IoT data.
4. Utilize BigQuery’s analytical capabilities to generate insights from IoT data.
5. Create and manage dashboards and visualizations to communicate findings effectively.

Modules

Module 1: Introduction to Google BigQuery and IoT Data

1. Overview of Google BigQuery
2. Understanding IoT Data and Its Characteristics
3. Integrating IoT Data with BigQuery
4. Hands-On Exercise: Setting Up Google BigQuery for IoT Data
5. Case Study: IoT Data Integration Scenarios

Module 2: Data Ingestion and Storage

1. Ingesting IoT Data into BigQuery
2. Data Formats and Schemas for IoT Data
3. Optimizing Storage for Large Volumes of IoT Data
4. Hands-On Exercise: Ingesting and Storing IoT Data
5. Case Study: Data Storage Strategies for IoT

Module 3: Querying and Data Manipulation

1. Writing and Executing BigQuery SQL Queries
2. Data Transformation and Aggregation Techniques
3. Handling Time-Series Data from IoT Devices
4. Hands-On Exercise: Performing Advanced Queries on IoT Data
5. Case Study: Querying IoT Data for Insights

Module 4: Analytics and Visualization

1. Analyzing IoT Data with BigQuery’s Analytical Functions
2. Creating Dashboards and Visualizations with Google Data Studio
3. Using BigQuery ML for Predictive Analytics
4. Hands-On Exercise: Building Visualizations and Dashboards
5. Case Study: Visualization of IoT Analytics Results

Module 5: Best Practices and Optimization

1. Performance Optimization for BigQuery Queries
2. Managing Costs and Resources in BigQuery
3. Ensuring Data Security and Compliance
4. Hands-On Exercise: Optimizing BigQuery Performance and Cost
5. Case Study: Best Practices in IoT Data Analytics

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Course Administration Details

Methodology

The instructor-led trainings are delivered using a blended learning approach and comprises presentations, guided sessions of practical exercise, web-based tutorials, and group work.

Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields.

All facilitation and course materials will be offered in English. Therefore, the participants should be reasonably proficient in English.

Accreditation

Upon the successful completion of this training, the participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

Training Venue

The training will be held at IRES Training Centre.

The course fee covers the course tuition, training materials, two break refreshments, and lunch.

In addition to our training in Kenya (Nairobi, Mombasa, Kisumu, Nakuru, and Naivasha), we conduct training in the following locations:

1. Dubai - United Arab Emirates
2. Cairo - Egypt
3. Johannesburg, Pretoria, and Cape Town - South Africa
4. Arusha, Zanzibar, and Dar-es-Salaam - Tanzania
5. Kigali - Rwanda
6. Accra - Ghana
7. Kampala - Uganda

Accommodation and Airport Transfer

Accommodation and airport transfer can be arranged upon request.

For reservations, kindly contact us on either one of the following:

• Email: [email protected]
• Phone: +254715 077 817

Tailor-Made Program

Upon request, this training can also be customized to suit the needs of you or your institution.

You can have it delivered at our IRES Training Centre or a convenient location.

For further inquiries, kindly contact us