DATA WAREHOUSING

Snowflake ETL will allow you to extract Data from Sources, transform the data and load to your snowflake for further downstream applications. Read more...

Data warehouse modeling refers to the process of designing the schema or structure of your data warehouse to ensure data is logically stored

To address natural downgrading of clustering , Snowflake allows definition of clustering keys, with control over data array within tables.

Top data warehouse alternatives are Data Lakehouses 1. Data Mesh 2. Data Fabric 3. NoSQL + Streaming Architectures 4. Graph & Semantic Dbs.

Top databricks ETL tools are 1. Integrate.io 2. Apache NiFi 3. Talend 4. Matillion 5. IBM App connect 6. Microsoft power platform 7. SSIS.

Databricks architecture is around Delta Lake, an open-source storage layer that brings ACID transactions & schema enforcement to data lakes

Snowflake’s cloud architecture is uniquely suited for ELT pipelines, where data is loaded to Snowflake first and then transformed using SQL. Read on for more.

Carrying out Snowflake CDC is not easy. Read on to learn aspects like historical data tracking, improved performance, better data quality.

Snowflake database is a cloud-native data platform designed for storing, managing, & analyzing massive datasets, built exclusively for cloud. Read on for more...