Teradata Training

Nisa online training Institute offers the best online Teradata training by well-trained and certified trainers. In the first place, Teradata is the largest provider of powerful, enterprise big data analytics and services, including Data warehousing, Data-Driven Marketing, BI and CRM. In addition, Teradata is an open program that operates on a UNIX MP-RAS or Windows server platform. However, Teradata is capable of serving a variety of concurrent users from various application systems. We are proud to be one of the leading global IT Online training providers with the most qualified and experienced IT experts and skilled resources. We have given training to Consultants, Corporations, and Working Professionals to handle all the challenges of their respective technological advances.

And what is the Teradata?

• Teradata is a Relational Database Management System ( RDBMS) that manages a company’s data warehouses. 
• However, it is currently available for the following operating systems:

1. UNIX MP-RAS
2. Windows 2000

• Teradata is an open framework that complies with industry ANSI standards. 
• The ability to handle several TB of data is gained by employing the principle of parallelism. Multiple different processors execute smaller tasks simultaneously as executing an operation against a large data server.
• Only parallel systems can accommodate databases of this scale to date.

Why Teradata Training, huh?

There are several reasons to choose Teradata as the preferred enterprise data management platform: 

1. Facilitates easy scalability from a small (10 GB) to a massive (100+TB) database. 
2. Automatic and even data distribution prevents complex indexing or time-consuming reorganizations. 
3. Single operational view of the entire MPP program and a single monitoring point for the DBA (Teradata Manager). 
4. Teradata has been storing data longer than any other provider.
5. Planned and developed with the parallelism from the first day. 

Teradata Professional Online Training Highlights:

1. Very in-depth course content on Teradata with Real-Time Scenarios for each specific topic and its Solutions. 
2. Here we also provide Teradata Online Learning Case Studies. 
3. We arrange sessions based on your convenience with our professionally trained coaches and real-time experts. 
4. You will be getting the video of your recorded session for further reference. 
5. We provide Normal Training, Fast Track Training and Weekend Batches also for Teradata Online Training.
6. At Nisa Training, we offer cost-effective and customizable Payment Options.

Why should you choose  Nisa Online Trainings?

Nisa Trainings is the best online training platform where we conduct 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 are working on Teradata and facing any problem while working on it, 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, then only we will agree to provide service, and 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

Teradata Training Online

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 :

1. Introduction to Teradata

• Overview of Teradata:
  • Introduction to Teradata ecosystem.
  • Teradata’s position in the data warehousing market.
  • Teradata architecture and key components.
• Teradata History and Evolution:
  • Teradata’s journey and its evolution over the years.
• Teradata vs Other Databases:
  • Differences between Teradata and traditional relational databases.
  • Comparison with other data warehousing solutions (e.g., Oracle, SQL Server).

2. Teradata Architecture

• Teradata Architecture Overview:
  • Massively Parallel Processing (MPP).
  • Nodes, AMP (Access Module Processor), and PEs (Parsing Engines).
  • Teradata’s Shared-Nothing Architecture.
• Teradata Database Components:
  • Disks, AMPs, Nodes, and Parsing Engines.
• Data Distribution:
  • Hashing mechanism in Teradata.
  • Primary Index vs. Secondary Index.
• Data Storage and Retrieval:
  • Storage structures (tables, views, etc.).
  • Row and column storage.
• Teradata Virtual Storage:
  • Virtual Machines and how Teradata integrates with them.

3. SQL in Teradata

• Basic SQL Syntax:
  • SELECT, INSERT, UPDATE, DELETE.
  • WHERE, GROUP BY, HAVING, and ORDER BY clauses.
• Advanced SQL Concepts:
  • JOIN operations (INNER, OUTER, CROSS, etc.).
  • Subqueries and Nested Queries.
  • Set Operators (UNION, INTERSECT, EXCEPT).
  • Multi-table operations.
• Teradata-Specific SQL Features:
  • Primary Index, Secondary Index.
  • Multi-level partitioning.
  • Global Temporary Tables and Derived Tables.
  • Teradata Functions (e.g., analytical functions, aggregate functions).

4. Data Loading and ETL

• Loading Data into Teradata:
  • Bulk loading techniques using TPT (Teradata Parallel Transporter).
  • Using FastLoad and MultiLoad utilities.
• ETL Tools Integration:
  • Loading data using Informatica, DataStage, etc.
• Data Extraction:
  • Exporting data using FastExport and Teradata Parallel Export.

5. Performance Tuning and Optimization

• Query Performance Optimization:
  • Indexing strategies.
  • Optimizing query execution plans.
  • Avoiding full table scans.
• Teradata Query Plan:
  • Understanding query plans and execution.
• Managing Large Data Volumes:
  • Data partitioning.
  • Handling skewed data distribution.
• System Performance Tuning:
  • Disk I/O, memory management, and CPU usage.

6. Data Management and Security

• Data Integrity:
  • Referential integrity, constraints, and triggers.
• Backup and Recovery:
  • Teradata’s backup and recovery utilities.
• User Management and Security:
  • User roles, privileges, and access controls.
  • Database security best practices.
• Audit and Logging:
  • Teradata logging mechanisms for system and data monitoring.

7. Advanced Teradata Topics

• Teradata Data Warehousing Techniques:
  • Data Mart vs. Data Warehouse concepts.
  • Star and Snowflake schemas.
  • Data partitioning and normalization.
• Teradata Parallelism:
  • Optimizing parallelism for large-scale data processing.
• Teradata Ecosystem Integration:
  • Integrating with Hadoop, Spark, and other Big Data platforms.
• Advanced Analytics in Teradata:
  • Using Teradata for advanced analytics, machine learning models, and data science applications.

8. Teradata Utilities

• Teradata Parallel Transporter (TPT):
  • How TPT works for high-performance data transfer.
• FastLoad:
  • Loading large datasets into empty tables.
• MultiLoad:
  • Inserting, updating, and deleting multiple records.
• FastExport:
  • Extracting large volumes of data efficiently.
• BTEQ:
  • Batch Teradata Query for executing SQL scripts and automating tasks.

9. Teradata Cloud and Big Data

• Teradata in the Cloud:
  • Understanding the cloud deployment models (on-premise, cloud, hybrid).
  • Integration with cloud platforms like AWS, Google Cloud, and Microsoft Azure.
• Teradata Vantage:
  • Overview of Teradata Vantage analytics platform.
  • Using Vantage for advanced analytics, data science, and AI applications.
• Integration with Big Data Ecosystem:
  • How Teradata integrates with Hadoop, Spark, and other tools in the big data ecosystem.

10. Real-World Projects and Case Studies

• Industry Use Cases:
  • Data warehouse design for specific industries (banking, telecom, retail).
• Hands-on Project:
  • Real-time project to apply concepts learned.
  • End-to-end data warehousing, including data ingestion, storage, querying, and optimization.