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IBM Data Engineering Professional Certificate Corporate Training

Advance your team’s data expertise with IBM Data Engineering Professional Certificate Corporate Training by Multisoft Virtual Academy. This hands-on training empowers professionals to design, manage, and analyze data pipelines using cutting-edge IBM tools. Boost productivity, enhance project outcomes, and ensure your team is certified and job-ready with real-world applications and guided learning from industry experts.

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IBM Data Engineering Professional Certificate Corporate Training

Curriculum Designed by Experts

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At Multisoft Virtual Academy, our IBM Data Engineering Professional Certificate Corporate Training is specially designed for organizations aiming to upskill their workforce in modern data engineering practices. This course provides a solid foundation in data ingestion, transformation, and storage, using industry-leading IBM tools like DB2, SQL, Python, and more.

Participants will gain practical knowledge in working with relational databases, performing data wrangling, and managing ETL pipelines effectively. Delivered through instructor-led live sessions, the training combines theoretical knowledge with hands-on labs and real-time projects to ensure your employees are ready to contribute to data-driven decision-making within your organization.

Whether you’re looking to build a new data engineering team or enhance existing capabilities, our corporate training helps bridge the skills gap with a customized curriculum, flexible schedules, and expert guidance.

The IBM Data Engineering Professional Certificate training is a comprehensive program that equips learners with essential data engineering skills. It covers Python programming, SQL, ETL pipelines, Apache Spark, NoSQL databases, data lakes, and cloud data services. Designed for aspiring data engineers, analysts, and IT professionals, the training offers hands-on experience with real-world projects and prepares participants for the globally recognized IBM certification, enabling them to excel in data-driven roles.

  • What is Data Engineering?
  • Role of a Data Engineer
  • Overview of Data Ecosystem
  • Key Tools and Technologies for Data Engineers
  • Career Path in Data Engineering
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  • Introduction to Python Programming
  • Data Structures in Python
  • Working with APIs and JSON
  • Python Libraries for Data Engineering (Pandas, NumPy)
  • Data Manipulation and Transformation
  • Writing Data Pipelines in Python
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  • Introduction to Relational Databases
  • Core SQL Concepts (DDL, DML, DCL, TCL)
  • Advanced SQL Queries (Joins, Subqueries, Window Functions)
  • Indexing and Query Optimization
  • Data Modeling Concepts
  • Hands-on: SQL with IBM Db2 or PostgreSQL
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  • What is ETL (Extract, Transform, Load)?
  • ETL Architecture and Patterns
  • Building ETL Pipelines using Python and SQL
  • Introduction to Apache Airflow
  • Data Pipeline Orchestration
  • Testing and Monitoring Pipelines
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  • Concepts of Data Warehousing
  • OLTP vs OLAP Systems
  • Star and Snowflake Schema
  • Data Warehouse Architecture
  • IBM Db2 Warehouse and IBM Netezza
  • Querying Data Warehouses
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  • Introduction to Big Data Ecosystem
  • Hadoop and HDFS
  • Introduction to Apache Spark
  • PySpark for Data Engineering
  • Distributed Data Processing
  • Hands-on Labs: Processing Large Datasets
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  • Introduction to NoSQL Concepts
  • Types of NoSQL Databases: Key-Value, Document, Columnar, Graph
  • Working with MongoDB
  • Hands-on: CRUD Operations in MongoDB
  • Data Modeling for NoSQL
  • Use Cases and Limitations
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  • Data Ingestion Patterns
  • Introduction to Apache Kafka
  • Streaming Data Pipelines
  • Kafka Producers and Consumers
  • Real-Time Data Processing with Spark Streaming
  • Monitoring Streaming Applications
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  • Introduction to Data Lakes
  • Data Lake vs Data Warehouse
  • IBM Cloud Object Storage for Data Lakes
  • Organizing Data in Data Lakes
  • Data Governance in Data Lakes
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  • Data Governance Principles
  • Data Quality and Data Lineage
  • Data Security Fundamentals
  • Encryption and Masking Techniques
  • Regulatory Compliance (GDPR, HIPAA, etc.)
  • IBM Tools for Data Governance
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  • Cloud Platforms for Data Engineering (IBM Cloud, AWS, Azure, GCP)
  • Cloud Storage Options
  • Cloud Databases (Cloudant, Db2 on Cloud, Amazon RDS, BigQuery)
  • Cloud ETL Tools
  • CI/CD for Data Pipelines
  • IBM Cloud Pak for Data
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  • Designing an End-to-End Data Engineering Solution
  • Building ETL Pipelines with Airflow
  • Ingesting Data into Data Warehouse or Data Lake
  • Processing with Spark / PySpark
  • Visualization and Reporting
  • Presenting Project Results
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IBM Data Engineering Professional Certificate Corporate Training Certification

Multisoft Virtual Academy provides a globally recognized training certificate to the participants, after successful completion of a training program. The training certificates are recognized and accepted across the world.

Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.
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Sessions are led by experienced professionals, certified trainers, and subject matter experts with in-depth industry knowledge. Trainers use interactive methods, real-world examples, and hands-on activities to deliver engaging and impactful learning experiences tailored to participant needs.

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