Snowflake Online Training
Snowflake is based on cloud data warehouse that can store and analyze all your data
records in one place. It can automatically scale up or down its compute resources to load,
combine, and analyse data. Snowflake grants a data warehouse which is faster, easy to set
up, and far more flexible. With its special features, it soon became a leader in data
management solutions for analytics.
Snowflake’s architecture has the following three components:
Storage: Snowflake utilizes a scalable cloud storage service to make sure a high
degree of data replication, scalability, and availability without much manual user
intervention. It provides users to organize information in databases, as per their
Compute: Snowflake utilizes massively parallel processing (MPP) clusters to allocate
compute resources for tasks such as loading, transforming, and querying data. It
offers users to isolate workloads within virtual warehouses.
Cloud services: Snowflake utilizes a set of services such as metadata, security, access
control, security, and infrastructure management. It provides users to communicate
with client applications such as Snowflake web user interface, JDBC, or ODBC.
Snowflake is speedily taking share from traditional data warehousing service givers. It
quickly growing in Data warehousing sources. The Company is growing at a fast rate; it can
be challenging to put measurable systems to make sure we are growing in the right
Snowflake has long runways for expansion still ahead. Snowflake is faster and easier to
maintain warehouses with.
Cloud Computing Cloud computing models Deployment models Service models Snowflake Upgradations Snowflake editions Snowflake Architecture Snowflake Account creation on various clouds (AWS,Azure,GCP) Snowflake Login Snowflake UI overview Snowflake UI options Snowflake Connectors snowsql (Connecting from Backend ) Snowflake Objects Tables Tables arrangement in Snowflake (Micro partitions) Tables Type (Permanent , Temporary , Transient,Iceberg) Time Travel , Fail Safe Time travel implementations Fail Safe Staging Stage types (External , Internal (Names, session , table)) Schemas views(Normal,secure,Materialized) Stored Procedure Functions(UDF, External Functions) Clustering Data loading Structured Data Semi-Structured data loading ( Variant Data Type) Copy command Snowpipe ETL tool Data Loading Data unloading Data Sharing Secure data sharing Data Marketplace Data Exchange Access Control RBAC Data Processing Real Time / Micro batch (Stream and Task) Batch Data Security Data Masking Row / Column level security Tags Clustering snowpipe & failure of pipe Snowflake using python