How to Evaluate the Best Tools for Data Ingestion Challenges?OmnePresent Team
It is the migration of the data from single or different sources to a target area where the data could be analyzed and processed for organizational growth. Data ingestion has become a very crucial task in the cloud. Nowadays, it’s seeing a vast increase as more companies adopt cloud storage instead of on-premise.
This article is mainly focused on the Snowflake Cloud Platform. Let’s understand that first.
What is Snowflake?
Snowflake is a data warehouse built for the cloud. It is faster and easier to use. Snowflake is a true Saas platform. No hardware or even software installation is needed. Snowflake provides a user-friendly UI (User Interface). Snowflake provides the resources to perform an analytical operation and it allows to store the business data. Snowflake provides the highest level of security. All data is encrypted as well as compressed before loading into the storage layer. It provides a secure way of sharing the data from one entity to another.
Snowflake Data Ingestion:
Snowflake has two types of data loading –
- Bulk Data Loading
- Continuous Data Loading
Bulk Data Loading: Bulk loading allows loading the big-batches of data from the file of a specific file format which is supported by a Snowflake. Using the COPY command, bulk loading can be achieved.
COPY INTO target_table_name FROM @stage_name FILE_FORMAT = file_format_name
Continuous Data Loading: Continuous data loading allows loading micro-batches of data as soon as they are available on stage. Snowflake provides Snowpipe to achieve continuous data loading. Snowpipe loads data within minutes as soon as files are available on the staging area.
CREATE OR REPLACE PIPE snowpipe_name AUTO_INGEST = TRUE AS COPY INTO target_table_name FROM @stage_name FILE_FORMAT = file_format_name