ETL Processes with Talend 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 | ETL Processes with Talend 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 2,200/KES 150,000 (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 |
Course Overview
This intensive course offered by T4D provides a comprehensive understanding of designing and implementing ETL (Extract, Transform, Load) processes using Talend. Participants will learn to extract data from various sources, transform it to meet business requirements, and load it into target systems. The course includes hands-on projects and real-world scenarios to enhance practical skills.
Duration
10 Days
Target Audience
- Data engineers
- ETL developers
- Data analysts
- IT professionals
Personal Impact
- Master the use of Talend for ETL processes.
- Enhance skills in data extraction, transformation, and loading.
- Gain practical experience with real-world ETL projects.
- Improve career prospects in data engineering and ETL development.
Organizational Impact
- Improve data integration and management processes.
- Enhance data quality and consistency across the organization.
- Ensure efficient and reliable data workflows.
- Enable better decision-making through accurate data transformation.
Course Objectives
- Understand the fundamentals of ETL processes.
- Learn to use Talend Studio for ETL development.
- Extract data from various sources using Talend.
- Transform data according to business requirements.
- Load data into target systems efficiently.
- Handle data quality and data governance issues.
- Integrate Talend with other data tools and platforms.
- Optimize ETL workflows for performance.
- Troubleshoot and resolve common ETL issues.
- Implement real-world ETL projects using Talend.
Course Modules
Course Outline
Module 1: Introduction to NoSQL Databases
- Overview of NoSQL databases
- Key concepts and definitions
- Importance of NoSQL in big data
- Case Study: How a leading social media platform scaled data storage using NoSQL solutions.
Module 2: Types of NoSQL Databases
- Document databases
- Column-family stores
- Key-value stores
- Graph databases
- Case Study: Comparing NoSQL database types for real-time recommendation engines.
Module 3: Data Modeling in NoSQL Databases
- Data modeling techniques
- Schema design considerations
- Case studies and examples
- Case Study: Designing a schema for a logistics company using NoSQL databases.
Module 4: Introduction to MongoDB
- Overview of MongoDB
- MongoDB architecture
- Basic CRUD operations
- Case Study: Implementing MongoDB for a customer relationship management (CRM) system.
Module 5: Advanced MongoDB
- Indexing and aggregation
- Performance optimization
- Replication and sharding
- Case Study: Enhancing query performance in an e-commerce database with MongoDB indexing.
Module 6: Introduction to Apache Cassandra
- Overview of Cassandra
- Cassandra architecture
- Basic CRUD operations
- Case Study: Using Cassandra for a large-scale IoT platform’s data management.
Module 7: Advanced Cassandra
- Data modeling in Cassandra
- Performance tuning
- Consistency and availability
- Case Study: Optimizing Cassandra to handle millions of daily transactions in a fintech app.
Module 8: Introduction to HBase
- Overview of HBase
- HBase architecture
- Basic CRUD operations
- Case Study: Storing and retrieving time-series data for a weather forecasting system using HBase.
Module 9: Advanced HBase
- Data modeling in HBase
- Performance optimization
- Integration with the Hadoop ecosystem
- Case Study: Leveraging HBase for big data analytics in a telecom company.
Module 10: Managing and Optimizing NoSQL Databases
- Database management best practices
- Monitoring and troubleshooting
- Security and compliance considerations
- Case Study: Ensuring high availability and security for a healthcare database using NoSQL best practices.
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.
