Category
Data Engineering

How to denormalize your data with Snowflake's dynamic tables to power a dashboard with Propel
Enable localized data experiences in your SaaS and consumer applications by querying data in end-users' specific time zones.

What is Parquet?
Parquet is a highly compressed file format for storing tabular data that is used widely in data engineering use cases.

What is the separation of storage and compute in data platforms and why does it matter?
As businesses strive to become data-driven, the separation of storage and compute has become a critical factor in data platforms.

How to Build an Incremental Model for Events Using dbt and Snowflake
Learn how to use the incremental model in dbt to manage data streams in your Snowflake warehouse.

How to get your data from an AWS RDS database into Snowflake
Learn how to move data from Amazon RDS into Snowflake so that it can be used for analytics.

What’s the Difference Between a Data Warehouse and a Data Lake?
The main difference between data lakes and data warehouses is data lakes allow unstructured data, but data warehouses need structured data.

Best React Charting Libraries for Data Visualization and Analytics
We've picked Recharts, Echarts, React ChartJS 2, and VISX as the best charting libraries for data visualization and data analytics in React.

What Is the Difference Between a Data Engineer, a Data Scientist, and a Data Analyst?
In the “Big Data” industry, there are big differences among the work responsibilities of data scientists, data engineers, and data analysts.
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