Nux software solutions training institute provides the best cloud computing training class in all over Coimbatore. The AWS is an assured cloud services platform that offers compute power, content delivery, database storage, and other functionality to assist businesses to grow. The AWS cloud training is designed to assist the businesses to adopt an in-depth understanding of AWS architectural principles and services. It will make you able to learn how cloud computing is specifying the rules of IT architecture.
Nux software solutions is one of the best AWS training in Coimbatore, our institute is the leading AWS cloud training institute in Coimbatore and Tamilnadu. It has veteran employers equipped with technical skills and know how to design applications and systems on AWS. They assist the aspirants in building their technical skills as per the way to earn AWS training certification only through the way of recommended courses, labs, and exams.
Moreover, we have designed a lab having the well-equipped infrastructure and 24/7 accessible facility that is ideal even for professionals, corporate, individuals, live project training, industrial training as well.
We have placed above 500 registered companies and 10000+ students and professionals, all are working in the reputed positions.
- Design a Snowflake account and database strategy, based on business requirements.
Create and configure Snowflake parameters based on a central account and any additional accounts.
List the benefits and limitations of one Snowflake account as compared to multiple Snowflake accounts.
- Design an architecture that meets data security, privacy, compliance, and governance requirements.
Configure Role Based Access Control (RBAC) hierarchy
System roles and associated best practices
Data Access
Data Security
Compliance
- Outline Snowflake security principles and identify use cases where they should be applied.
Encryption
Network security
User, Role, Grants provisioning
Authentication
- Outline the benefits and limitations of various data models in a Snowflake environment.
Data models
- Design data sharing solutions, based on different use cases.
Use Cases
- Sharing within the same organization/same Snowflake account
- Sharing within a cloud region
- Sharing across cloud regions
- Sharing between different Snowflake accounts
- Sharing to a non-Snowflake customer
- Sharing Across platforms
Snowflake Marketplace
Data Exchange
Data Sharing Methods
- Create architecture solutions that support Development Lifecycles as well as workload requirements.
Data Lakes and Environments
Workloads
Development lifecycle support
- Given a scenario, outline how objects exist within the Snowflake Object hierarchy and how the hierarchy impacts an architecture.
Roles
Virtual warehouses
Object hierarchy
Database
- Determine the appropriate data recovery solution in Snowflake and how data can be restored.
Backup/Recovery
Disaster Recovery
- Determine the appropriate data loading or data unloading solution to meet business needs.
Data sources
Ingestion of the data
Architecture Changes
Data unloading
- Outline key tools in Snowflake’s ecosystem and how they interact with Snowflake.
Connectors
- Kafka
- Spark
- Python
Drivers
- JDBC
- OBDC
API endpoints
SnowSQL
- Determine the appropriate data transformation solution to meet business needs.
Materialized views, views, and secure views
Staging layers and tables
Querying semi-structured data
Data processing
Stored Procedures
Streams and Tasks
Functions
- External functions
- User-Defined Functions (UDFs)
- Outline performance tools, best practices, and appropriate scenarios where they should be applied.
Query profiling
Virtual Warehouse configuration
Clustering
Search Optimization Service
Caching
Query rewrite
- Troubleshoot performance issues with existing architectures.
JOIN explosions
Virtual warehouse selection (scaling up as compared to scaling out)
Best practices and optimization techniques
Duplication of data
Monitoring and alerting
- Statistics
- Resource monitoring
- Account usage and information schema
