Databricks
Databricks is a platform-as-a-service solution that provides the data lakehouse concept – a data storage and processing model that consists of two components: a data lake and a data warehouse. It is designed for performing Big Data analysis using large volumes of data and sophisticated calculations.
Features of Databricks
- Databricks addresses the issue of storing structured organized data, semi-structured data, and unstructured data in separate data lakes and data warehouses. This facilitates simplified data management and simplified analysis.
- Databricks offers strategies for moving and preprocessing data before storing it in the data lakehouse. It is possible to create ELT solutions for your data operations to streamline the process of data movements and enforce data quality.
- Databricks offers horizontal auto-scaling to fit your growing data workload. It is a good option in terms of usage as the cost is billed according to consumption, which is ideal for big data jobs.
- Apache Spark is an open-source framework for distributed processing of data Databricks is on Spark. This enables a user to use the power of Spark for performing very fast and highly effective data analysis.
Pricing of Databricks
Databricks utilizes a pay-as-you-go approach based on the compute usage you require.
Top 10 Data Aggregation Tools
Data analysis thrives on information. In this data-driven world, data aggregation emerges as a fundamental process, empowering businesses to unlock valuable insights and make informed decisions.
In this tutorial, we will identify top data aggregation tools.
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