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  1. Skills Directory
  2. Databricks

Databricks

Intermediate

Databricks is a unified data analytics platform designed to help organizations process large amounts of data and perform advanced analytics tasks. It provides a cloud-based platform for data engineering, data science, and analytics, offering a range of tools and services such as data processing, machine learning, and real-time analytics.

This competency includes understanding delta tables, jobs configuration, data ingestion, workflows, and data transformation.

Key Competencies:
 

  1. Delta Tables - Knowledge of delta tables that combine the scalability of data lakes with the reliability and performance of data warehouses, making it easier to manage and process large datasets efficiently.

  1. Databricks Jobs configuration - Ability to schedule and automate tasks in Databricks, such as data processing, machine learning model training, or report generation.

  1. Data Ingestion from the cloud (AWS/AZURE) - Knowledge of relevant APIs and connectors to efficiently read data from cloud storage into Databricks DataFrames or Delta Tables.

  1. Databricks Workflows - Ability to design and schedule workflows to run at specific times or trigger them based on events or conditions.

  1. Data transformation - Ability to manipulate and transform data using user-defined functions (UDFs) to derive insights or prepare it for further analysis.