Snowflake
Snowflake disrupts data management by giving a new data platform that is faster, easier to use and…
- 25
- 45h
- 0
Snowflake disrupts data management by giving a new data platform that is faster, easier to use and more agile. In contrast with more traditional systems, Snowflake is built from the ground up that results in enhanced performance of data storage, processing and analysis. Thanks to its design, it breaks free of the multitude of issues inherent in previous generations of database systems and the big data platforms they inspired, such as Hadoop.
The third factor is the platform architecture that differs from other solutions and is based on the separation of compute and storage layers. This design of tending to resources enables the ability of scaling resources separately to achieve a better performance and at the same cheaper cost. Organisations that use Snowflake get a well-coordinated user experience that eliminates complexities of data and fast-tracks analysis making it a perfect substitute to regular DB systems and big data systems.
What Will You Learn?
- Data Visualization Integration: Snowflake integrates seamlessly with Tableau, Looker, and other visualization tools, providing real-time data access and high-performance querying.
- ETL/ELT Tool Support: Snowflake works with ETL/ELT tools like Fivetran, dbt, and Talend, leveraging scalable data pipelines and Snowpipe for efficient data ingestion and transformation.
- Cloud Services Compatibility: Snowflake is compatible with AWS, Azure, and Google Cloud, allowing for efficient data processing and storage in cloud-native environments.
- Robust Data Encryption: Snowflake ensures data security with AES-256 encryption for data at rest and in transit, alongside key management practices.
- Granular Access Controls: Role-based access control (RBAC) and integration with identity management systems provide secure user authentication and precise access permissions.
- Regulatory Compliance: Snowflake adheres to standards like GDPR, HIPAA, and SOC 2 Type II, offering tools and features to support data protection and regulatory adherence.
Course Curriculum
Module 1: Introduction to Data Engineering and Snowflake
Module 2: Data Modeling and Schema Design in Snowflake
Module 3: Data Loading and Integration
Module 4: Advanced Data Engineering with Snowflake
Module 5: Performance Tuning and Optimization
Module 6: Security, Compliance, and Governance
Module 7: Machine Learning and Advanced Analytics with Snowflake
Module 8: Project and Real-world Applications
Module 9: Future Trends and Research in Data Engineering
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