IBM Netezza Training
With IBM Netezza Training we are here to help you with Updating your skillset. IBM Netezza is now part of IBM PureSystems and is an integrated framework with key design principles of simplicity, speed, scalability and analytical strength. In addition, It is one of the new advanced technologies that merge in-database analytics and data warehousing into a high-performance, scalable, and massively advanced parallel analytic platform. Moreover, Netezza helps automate and improve data processing efficiency and handles sophisticated algorithms in minutes.
This IBM Netezza training covers topics such as NPS AMPP Architecture & Various Netezza appliance versions, Netezza High Availability Infrastructures such as Clustering, Netezza SQL Language, Mirroring and Failover, Netezza Command Line Interface (CLI), Netezza Events and many other subjects such as Data Loading/Unloading using GUI Tools, etc.
After this IBM Netezza training, you should be able to recognize how the Netezza architecture and parallel processing capabilities help modelling and analysis paradigms in large-scale data sets. You should fully understand data mining approaches to solve common business problems in real-time in this context.
This course focuses on efficiently using the IBM Netezza Analytics platform to build, evaluate and rate analytical models in the database.
Participants in this course will learn how to use:
- In-Database Analytics, a fully scalable and parallelized
- In-database analytics package
- R, an open-source statistical language that operates on Netezza
- Matrix Engine, a parallelized, linear algebra package.
Why should you choose Nisa Online Training To Learn IBM Netezza?
Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and are happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.
Job Assistance
If you face any problem while working on IBM Netezza, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.
The Process we follow for our Online Job Support Service:
- We receive your enquiry about Online Job Support.
- We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re using.
- If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from us.
- We will fix the timing for Online Job Support as mutually agreed by you and our consultant.
Course Information
IBM Netezza Online Training
Duration: 30 Hours
Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)
Training Method: Instructor Led Online One-on-One Live Interactive Sessions.
COURSE CONTENT :
Module 1: Introduction to IBM Netezza
- Overview of IBM Netezza architecture
- Netezza components and data flow
- Features of Netezza and how it compares to other data warehousing technologies
- Netezza Data Warehouse Appliance (DWA) overview
- Use cases for Netezza in data analytics and business intelligence
Module 2: Netezza Architecture
- Hardware architecture of Netezza
- Architecture components: Host, Data nodes, and FPGAs (Field Programmable Gate Arrays)
- Netezza Data Mover (NDM) and its role in data transfer
- How Netezza ensures high availability and fault tolerance
- Partitioning and distribution of data in Netezza
Module 3: Netezza Installation and Configuration
- Installation prerequisites and system requirements
- Installing and configuring Netezza system
- Configuration options (network, storage, etc.)
- System setup: configuring storage, network, and compute nodes
- Managing system resources and tuning for optimal performance
- Understanding Netezza’s operating system (Netezza OS)
- Initial system setup and user management
Module 4: Netezza Data Modeling
- Overview of Netezza data model
- Creating database objects (tables, views, etc.)
- Data distribution and partitioning strategies
- Understanding Netezza’s data distribution methods (Round-robin, Hash, Range)
- Primary and foreign keys, indexes, and constraints
- Managing large data sets and ensuring high performance
Module 5: Data Loading and Unloading in Netezza
- Introduction to data loading/unloading methods
- Using Netezza’s
nzloadandnzunloadutilities - Bulk data loading and unloading from external sources (flat files, relational databases)
- Managing large volumes of data: tips and best practices
- Optimizing data loading performance
- Working with external tables and file formats
Module 6: Netezza SQL and Query Optimization
- Writing and executing SQL queries in Netezza
- Query optimization techniques in Netezza
- Understanding query execution plans and performance analysis
- Indexing and partitioning strategies for better performance
- Using Materialized Views for faster query execution
- Optimizing joins and aggregations
- Identifying and resolving performance bottlenecks
Module 7: Data Management and Backup
- Netezza data management best practices
- Creating and managing backups in Netezza
- Restoring data and handling disaster recovery scenarios
- Automated backup and recovery processes
- Monitoring and troubleshooting data management issues
Module 8: Security in Netezza
- Managing user roles and permissions
- Securing data with encryption and access controls
- Auditing and logging in Netezza
- Integration with external authentication systems (LDAP, Kerberos)
- Best practices for securing Netezza systems
Module 9: Netezza Performance Tuning
- Identifying and resolving performance issues
- Analyzing system resources: CPU, memory, disk, and network
- Query optimization techniques
- Using the Netezza Performance Management (NPM) tools
- Partitioning strategies to improve performance
- Tuning data loading and unloading processes
Module 10: Advanced Netezza Features
- Working with user-defined functions (UDFs) and stored procedures
- Netezza Machine Learning capabilities (if available)
- Working with complex data types
- Real-time analytics and integration with other data platforms
- Integration with other tools like IBM Cognos, Tableau, etc.
- Netezza and Big Data integration (Hadoop, Spark, etc.)
Module 11: Netezza Administration and Maintenance
- Netezza system monitoring and management
- Configuring and tuning the system for maintenance tasks
- Running diagnostics and troubleshooting
- Managing system logs and logs analysis
- Performance monitoring tools and techniques
- Upgrading Netezza versions and patches