In this article, you will learn everything about the delta lake and lakehouses, understand the basic definition and its benefits.
Delta Lake is the secret sauce of the Lakehouse pattern and it tries to solve the problems highlighted in the Databricks document.
With data warehouses, Snowflake requires a proper data format, works with structured and semi-structured data, and requires its query engine.
Databricks is a data warehousing, machine learning web-based platform developed by the creators of Spark. Let's understand in detail.
Data lakes are useful in advanced predictive analytics applications and regular organisational reporting, involving multiple data formats.
In this tutorial, you will see an overview of Snowflake, its architecture, and how to create a database, schema, and tables inside Snowflake.
In this article, we understand data lake and we will look at two possible use cases and corresponding data architectures in AWS.
In this article, you would understand what are data lakes, why we need to use them, features and their importance.
In this article, you will learn everything about Amazon Redshift including performance cost scalability and security.
In this article, learn about AWS Redshift Database is a cloud-based large data warehousing solution that companies are using lately.
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