7 tasks that Google Gemini 2.5 Pro does better than most other AI chatbots - from website building & deep research to post & podcast creation
Delta Lake is the secret sauce of the Lakehouse pattern and it tries to solve the problems highlighted in the Databricks document.
In this article, we will learn about Delta Lake and how it allows businesses to access and break new data down in real time.
In this article, you will learn everything about the delta lake and lakehouses, understand the basic definition and its benefits.
In this article, you will learn about the difference, benefits and limitations of various approaches to building a data platform.
Data lakes are useful in advanced predictive analytics applications and regular organisational reporting, involving multiple data formats.
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.
In this article, you would understand what are data lakes, why we need to use them, features and their importance.
Data Warehousing is an MPP system with a shared-type architecture, used for large-scale analytic workloads and take advantage of parallelism
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