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Informatica with Big Data (BDM)
The Big Data with Informatica (BDM) training equips data scientists with cutting-edge technology to examine massive datasets. It covers using Apache Hive, Hadoop, and Spark for data management, integration, and analytics. Practical experience with Informatica tools is offered. This course provides important insights into unified data architecture while improving abilities in large data integration, transformation, analysis, and exploitation of Informatica technologies.
Overview
The Informatica with Big Data Management (BDM) course provides a thorough training curriculum that aims to give students the abilities to use Informatica’s toolkit to fully utilize Big Data. This course provides a strong foundation in big data fundamentals and the BDM architecture while covering the fundamentals of big data integration with an emphasis on the Informatica Developer tool. Students will obtain practical experience in creating physical data objects, mapping, and transformations. They will also learn how to comprehend dynamic mapping and use parameters to efficiently manage processes. Participants will gain knowledge of navigating the Developer interface, troubleshooting configurations, keeping an eye on activity, and reviewing logs throughout the course. Advanced modules give solutions for performance tweaking at several levels and walk students through the complexities of Big Data integration difficulties.
Who should go for Informatica with Big Data (BDM) course?
- Data Warehouse Administrators
- Database Architects
- Database Professionals
- Big Data Architects
- Advanced Analytics Professionals
- Data Analysts
What are the Objectives of Informatica with Big Data (BDM) course?
- Learn the fundamentals of big data management including the concepts of HDFS, MapReduce, HBase, Hive, and Sqoop.
- Develop expertise in using Informatica PowerCenter, PowerExchange, and BDM for big data-related tasks like loading, transforming and scheduling data.
- Create big data jobs for transforming and loading data using Informatica’s transformers.
- Utilize Informatica BDM to configurate data executions and orchestrate big data jobs.
- Understand the best practices and techniques to use while working with Informatica BDM.
- Develop end-to-end applications and pipelines that use Apache Spark, Kafka, NoSQL databases, and Teradata.
Our Package
Course Curriculm
Module 1: Introduction
- Introduction to the Developer tool
- Brief Overview of Big Data Management
- BDM 9.x & 10.x Architecture & Differences
- Big Data Basics
- Developer Tool Basics
- Reviewing the Developer interface
Module 2: Developing Physical Data Objects
- Introduction to the types of physical data objects
- Using relational connections
- Using flat file connections
- Synchronize a flat file data object
Module 3: Viewing Data
- Introduction to data views
- Troubleshooting configurations
- Reviewing logs
- Monitoring activities
Module 4: Developing Mapping and Transformation
- Mapping and transformation concepts
- Core transformations
- Developing and validating a mapping
- Using transformations in a mapping
Module 5: Working with Dynamic Scheme and Mapping
- Introduction to dynamic mapping concepts
- Developing and running a dynamic mapping
- Reviewing a mapping template
Module 6: Parameters
- Parameter concepts
- Using a parameter file
- Using a parameter set
Module 7: Workflow
- Workflow concepts
- Creating a workflow
- Configuring a Workflow
Module 8: Working with Applications
- Application concepts
- Creating and deploying an application
- Stopping and redeploying an application
Module 9: Mapping Monitoring and troubleshooting
- Configuring and running a mapping in Native end
- Hadoop environments
- Execution Plans
- Monitor mappings
- Troubleshoot mappings
- Viewing mapping results
Module 10: Hadoop Data Integration challenges and Performance Tuning
- Describe challenges with executing mappings in Hadoop
- Big Data Management Performance Tuning
- Hive Environment Optimization
- Mapping Level Tuning
- DIS Level Tuning
- Cluster Level Tuning
- Hadoop environment and cluster tuning
Upcoming Batch
April 20th (Weekends)
FRI & SAT (4 Weeks)
08:30 PM to 01:00 AM (CDT)
April 18th (Weekdays)
MON – FRI (18 Days)
10:00 AM to 12:00 PM (CDT)
Informatica with Big Data (BDM) FAQs
Q. Who is this course for?
Ans.
This course is designed for data professionals, analysts, and IT professionals seeking expertise in integrating and managing large-scale data using Informatica and Big Data technologies.
Q. Are there any prerequisites for this course?
Ans.
Familiarity with SQL coding and some understanding of Big Data technologies like MapReduce, YARN, and Hadoop is beneficial. Knowledge of Java, Linux, and XML is advantageous.
Q. What skills will I gain from this course?
Ans.
You’ll develop skills in data ingestion, transformation, integration, and analysis using Informatica tools and Big Data platforms. The course covers Apache Hive, Hadoop, Spark, and more.
Q. How long does the course take to complete?
Ans.
The course duration can vary, but it’s designed to be completed within a reasonable time frame. Please check the course details for specific information.
Q. How will this course benefit my career?
Ans.
This course equips you with essential skills in managing and analyzing large datasets, making you valuable in data-driven industries. It enhances your career prospects and contributes to the growing demand for data professionals.
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