Databricks Course Overview
Enrol for three-day Databricks training from The Edu Plus. This course is geared toward statistics Scientists, Analysts, software developers, architects, who are seeking to create and deploy cloud-primarily based information engineering answers.
Databricks is used for processing and remodeling huge data, and exploring that information the usage of machine studying fashions.
to be had as a Platform-as-a-provider on Microsoft's Azure and Amazon web services cloud platforms, it is a major competitor to BigQuery and Dataflow on Google Cloud Platform (GCP).
Target Audience:
Data Scientists
Analysts
Software Developers
Database Developers
Data Warehouse Managers and Business Intelligence Specialists
Software Architects
Module 1: Overview of Apache Spark and Databricks
- How do we define Big Data?
- Spark languages - Scala, Python, R, Java, SQL
- Databricks Community Edition
- Databricks Architecture
- Defining Data Analytics
- Defining Machine Learning
- Azure implementation
- AWS implementation
Module 2: Databricks benefits
- Integrating into Pipelines
Module 3: Getting started with Databricks
- Creating a Databricks Workspace on Azure
- Creating and configuring your Cluster
- Creating and attaching your first Notebook
- Testing your Notebook
Module 4: Uploading data
- Connecting to a Spark data source
- Previewing your Table
- Columns and Datatypes basics
Module 5: Bringing your data into your Notebook
- Writing the initial SQL query to import
- View aggregates
- Perform Joins
Module 6: Visualisations & DataFrames
- Datatypes
- Structured Streaming DataFrames
- Plots
- Choosing Chart types
- Chart Toolbar
- Layout and styling considerations
- Machine Learning visualisations
Module 7: Databricks Jobs
- View Jobs and Job details
- Running your first Job
- Viewing completed jobs
- Setting up Alerts
Module 8: Delta Lake and Delta Tables
- Getting data into Delta Lake
- Delete, update, merge
- Overview of Delta Engine
Learning Objectives
- Apache Spark (Overview)
- Real-world uses for Databricks
- How Databricks and Apache Spark fit together
- Getting started with Databricks
- Uploading, preparing and transforming data
- Creating Notebooks
- Creating Clusters
- Running Jobs
- Delta Lake and Delta Tables
Write a review
$599 – $1,899
Related products
Reviews
There are no reviews yet.