Cloud-based Big Data Solutions (aws, Azure, Gcp) Training Course: Scalable Data Mastery

Introduction

Unlock the potential of cloud computing for Big Data with our comprehensive Cloud-Based Big Data Solutions (AWS, Azure, GCP) Training Course. This program focuses on utilizing cloud platforms to achieve scalable Big Data storage and processing, enabling you to build and manage robust data solutions. In today's data-driven world, mastering cloud-based Big Data solutions is crucial for handling massive datasets and driving business insights. Our cloud training course provides hands-on experience and expert guidance, empowering you to leverage the full capabilities of leading cloud providers.

This cloud Big Data training delves into the specific tools and services offered by AWS, Azure, and GCP, covering topics like data warehousing, data lakes, and real-time analytics. You'll gain expertise in designing and deploying scalable Big Data architectures in the cloud, optimizing performance, and ensuring data security. Whether you're a data engineer, architect, or analyst, this cloud solutions course will equip you with the skills to effectively utilize cloud platforms for scalable Big Data storage and processing.

Target Audience:

• Data Engineers
• Data Architects
• Cloud Engineers
• Big Data Developers
• Data Analysts
• System Administrators
• Anyone needing cloud-based Big Data expertise

Course Objectives:

• Understand the core concepts of cloud-based Big Data solutions.
• Master the key Big Data services offered by AWS, Azure, and GCP.
• Design and implement scalable data storage solutions in the cloud.
• Develop and deploy real-time data processing pipelines on cloud platforms.
• Optimize cloud-based Big Data architectures for performance and cost-efficiency.
• Implement data security and access control in cloud environments.
• Integrate cloud Big Data solutions with other data systems.
• Troubleshoot and debug cloud-based Big Data applications.
• Utilize cloud-based tools for data ingestion and transformation.
• Implement best practices for managing Big Data in the cloud.
• Understand how to monitor and manage cloud-based data systems.
• Explore advanced features of cloud Big Data services.
• Apply real world use cases for cloud based big data solutions.

Duration

10 Days

Course content

Module 1: Introduction to Cloud-Based Big Data

• Fundamentals of cloud computing for Big Data.
• Overview of AWS, Azure, and GCP Big Data services.
• Understanding cloud-based data storage and processing models.
• Setting up cloud environments for Big Data development.
• Introduction to cloud best practices.

Module 2: AWS Big Data Services

• Utilizing Amazon S3 for scalable data storage.
• Implementing data warehousing with Amazon Redshift.
• Developing real-time data pipelines with Amazon Kinesis.
• Processing Big Data with Amazon EMR.
• Utilizing AWS Glue for ETL operations.

Module 3: Azure Big Data Services

• Utilizing Azure Blob Storage for scalable data storage.
• Implementing data warehousing with Azure Synapse Analytics.
• Developing real-time data pipelines with Azure Event Hubs.
• Processing Big Data with Azure HDInsight.
• Utilizing Azure Data Factory for data integration.

Module 4: GCP Big Data Services

• Utilizing Google Cloud Storage for scalable data storage.
• Implementing data warehousing with Google BigQuery.
• Developing real-time data pipelines with Google Pub/Sub.
• Processing Big Data with Google Dataproc.
• Utilizing Google Dataflow for data processing.

Module 5: Scalable Data Storage in the Cloud

• Designing and implementing data lakes in the cloud.
• Optimizing data storage for performance and cost.
• Implementing data partitioning and bucketing.
• Utilizing cloud-based data formats (Parquet, ORC).
• Managing data lifecycle in the cloud.

Module 6: Real-Time Data Processing in the Cloud

• Developing real-time data pipelines with cloud services.
• Implementing stream processing and windowing techniques.
• Utilizing cloud-based messaging systems (Kafka, Pub/Sub).
• Implementing real-time analytics dashboards.
• Handling high-velocity data streams.

Module 7: Cloud-Based Data Warehousing

• Designing and implementing data warehouses in the cloud.
• Utilizing cloud-based data warehousing services (Redshift, BigQuery, Synapse).
• Optimizing data warehouse performance.
• Implementing data modeling and schema design.
• Utilizing cloud-based BI tools.

Module 8: Data Ingestion and Transformation in the Cloud

• Utilizing cloud-based ETL tools (Glue, Data Factory, Dataflow).
• Implementing data ingestion from various sources.
• Transforming and cleaning data in the cloud.
• Implementing data quality checks and validation.
• Automating data ingestion and transformation workflows.

Module 9: Data Security and Access Control in the Cloud

• Implementing authentication and authorization in cloud environments.
• Data encryption and access control.
• Securing data at rest and in transit.
• Implementing auditing and compliance.
• Cloud-based security best practices.

Module 10: Performance Tuning and Cost Optimization

• Optimizing cloud-based Big Data architectures for performance.
• Tuning cloud services for specific workloads.
• Implementing cost optimization strategies.
• Monitoring and analyzing cloud resource utilization.
• Utilizing cloud-based performance monitoring tools.

Module 11: Integration with Other Cloud Services

• Integrating cloud-based Big Data solutions with other cloud services.
• Utilizing cloud-based machine learning and AI services.
• Implementing serverless Big Data architectures.
• Integrating with cloud-based API gateways.
• Building hybrid cloud Big Data solutions.

Module 12: Cloud-Based Data Governance and Compliance

• Implementing data governance policies in the cloud.
• Data lineage tracking and metadata management.
• Ensuring compliance with data regulations.
• Utilizing cloud-based data catalog and discovery tools.
• Implementing data quality management in the cloud.

Module 13: Cloud-Based Big Data Monitoring and Management

• Utilizing cloud-based monitoring tools.
• Implementing alerting and notifications.
• Analyzing cloud logs and metrics.
• Automating cloud resource management.
• Best practices for cloud-based Big Data monitoring.

Module 14: Cloud-Based Big Data Troubleshooting and Debugging

• Debugging cloud-based Big Data applications.
• Troubleshooting cloud-based data pipelines.
• Analyzing cloud service logs and error messages.
• Utilizing cloud-based debugging tools.
• Best practices for troubleshooting cloud issues.

Module 15: Cloud-Based Big Data Future Trends

• Emerging trends in cloud-based Big Data solutions.
• Utilizing cloud-based AI and machine learning platforms.
• Advanced techniques for cloud-based real-time analytics.
• Advanced techniques for serverless data processing.
• Future of cloud computing in Big Data architectures.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.