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Course Code: IT 1897
5 Course Visits
NoSQL Database Integration for Data Engineers
Course Sector:
Information Technology
Course Dates and Locations
Choose a date and location to book your seat
No.
Date
Days
Location
Fees
Enrollment
01
5 Days
Riyadh, KSA $4,250
02
5 Days
Online, Virtual $2,150
03
5 Days
Dubai, UAE $4,250
Introduction
Training course introducion / brief
This course equips data engineers with practical skills to integrate NoSQL databases (such as MongoDB, Cassandra, and DynamoDB) with traditional relational systems (like PostgreSQL or MySQL). It focuses on designing hybrid data architectures, building ETL pipelines, and leveraging cloud-native tools and APIs for efficient, scalable data movement and synchronization.
Course Objectives
At the end of the training course, participants will be able to
By the end of this course, participants will be able to:
- Understand the differences and complementarities between NoSQL and relational databases.
- Design and implement data models for NoSQL and hybrid environments.
- Build ETL pipelines to move and transform data between NoSQL and relational systems.
- Use APIs and connectors to integrate MongoDB, Cassandra, or DynamoDB with SQL databases.
- Leverage cloud services (AWS, Azure, GCP) for data synchronization and pipeline orchestration.
- Apply best practices for schema mapping, data consistency, and performance optimization.
Course Audience
Who is this course for, and can benefit the most
Course Outline
The course aims and learning outcomes
Module 1: Introduction to NoSQL and Relational Systems
- Relational vs. NoSQL data models
- When to use NoSQL: document, key-value, column, and graph databases
- Common hybrid architecture use cases
- Overview of MongoDB, Cassandra, DynamoDB, PostgreSQL, and MySQL
Module 2: NoSQL Data Modeling and Querying
- Document-based design (MongoDB)
- Wide-column modeling (Cassandra)
- Key-value patterns (DynamoDB)
- Querying using native APIs and SDKs
- Indexing and optimization strategies
Module 3: Relational to NoSQL Integration Patterns
- One-way and bi-directional data flows
- Schema mapping and data transformation
- Handling unstructured and semi-structured data
- Change Data Capture (CDC) strategies
Module 4: Building ETL/ELT Pipelines
Module 5: Using APIs for Data Access and Integration
- Designing extract-transform-load (ETL) workflows
- Tools: Apache NiFi, Apache Airflow, dbt, Talend
- Data ingestion from APIs and message queues (Kafka, Kinesis)
- Batch vs. stream processing
Module 5: Using APIs for Data Access and Integration
- REST and GraphQL APIs for NoSQL databases
- Connecting MongoDB with Python, Node.js, and Java
- Integration with PostgreSQL using foreign data wrappers (FDWs)
- Federated querying strategies
Module 6: Cloud-Based NoSQL Integration
Module 7: Data Synchronization and Consistency
- AWS: DynamoDB, Glue, Lambda, and Data Pipeline
- Azure: Cosmos DB, Data Factory, Synapse Integration
- GCP: Firestore/Bigtable, Cloud Functions, and Dataflow
- Data lake integration
- Real-time sync using change streams (e.g., MongoDB Change Streams, DynamoDB Streams)
- Managing consistency across distributed systems
- Event-driven architecture and eventual consistency
- Conflict resolution strategies
Module 8: Performance Optimization and Monitoring
Module 9: Security and Compliance
- Benchmarking data transfer performance
- Query optimization in hybrid systems
- Monitoring tools and logging strategies
- Cost control in cloud-based ETL
Module 9: Security and Compliance
- Data encryption in transit and at rest
- Secure API access with keys and tokens
- Authentication and authorization with IAM and RBAC
- Compliance considerations (GDPR, HIPAA, SOC 2)
Providers and Associations
Providing the best training services and benefits to our valued clients
Boost certificate of completion
BOOST's Professional Attendance Certificate “BPAC” is always given to the delegates after completing the training course, and depends on their attendance of the program at a rate of no less than 80%, besides their active participation and engagement during the program sessions.
ENDORSED EDUCATION PROVIDER
Flexible deadlines
Customized dates accordance to your schedule
Shareable Certificate
Earn certificate upon completion
COURSE METHODOLOGY
Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).
At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.
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