Databricks Training

Live Online & Classroom Enterprise Training

Databricks is a unified data analytics platform built on Apache Spark, enabling large-scale data processing, machine learning, and AI development. It provides collaborative workspaces, automated workflows, and cloud integration for efficient data engineering and analytics.

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What is Databricks Training about?

This course offers a foundational understanding of the Databricks Lakehouse Platform, which integrates data engineering, data science, machine learning, and analytics within a unified platform. Participants will learn how to effectively manage data, configure compute resources, and utilize Databricks' capabilities to enhance analytical processes. Through hands-on exercises, learners will gain practical experience in data integration, cluster management, and SQL analytics.

What are the objectives of Databricks Training ?

Databricks Platform Fundamentals: Understand the key components and functionalities of the Databricks Lakehouse Platform.
Data Management: Learn how to manage data catalogs, ingest data, and set permissions within Databricks.
Compute Resource Configuration: Gain the ability to configure and manage clusters for scalable data processing.
SQL Analytics: Develop skills to write queries, produce visualizations, and create dashboards using Databricks SQL.
Integration Capabilities: Explore how to integrate Databricks with various data sources and BI tools.

Who is Databricks Training for?

Data Analysts: Professionals looking to enhance their data analysis capabilities using Databricks.
Data Engineers: Individuals aiming to streamline data pipelines and workflows within a unified platform.
Data Scientists: Practitioners seeking to leverage Databricks for advanced analytics and machine learning tasks.
Business Intelligence Professionals: Those interested in utilizing Databricks for business intelligence and reporting purposes.
IT Professionals and Students: Anyone keen on understanding the functionalities and advantages of the Databricks platform

What are the prerequisites for Databricks Training?

Basic Knowledge of SQL: Familiarity with SQL query syntax, including writing queries using SELECT, WHERE, GROUP BY, ORDER BY, LIMIT, and JOIN.
DATABRICKS • Understanding of Data Concepts: Basic understanding of data structures and data management principles.
Familiarity with Cloud Computing (Optional): An understanding of cloud DATABRICKS computing concepts can be beneficial but is not mandatory.

Available Training Modes

Live Online Training

2 Days

Self-Paced Training

10 Hours

Course Outline Expand All

Expand All

Module 1: Introduction to Databricks

Overview of the Databricks Lakehouse Platform

Key features and benefits

Use cases in modern data analytics

Module 2: Data Management in Databricks

Managing data catalogs

Data ingestion techniques

Setting data permissions and access controls

Module 3: Compute Resource Configuration

Understanding clusters in Databricks

Configuring and managing clusters

Optimizing compute resources for performance

Module 4: SQL Analytics with Databricks

Writing SQL queries in Databricks

Creating visualizations and dashboards

Configuring alerts and notifications

Module 5: Integrating Databricks with Other Tools

Connecting to various data sources

Integrating with Business Intelligence tools

Exploring data sharing and collaboration features

Who is the instructor for this training?

The trainer for this Databricks Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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