Bryan Cafferky Courses

How to Choose the Best Job for You - Tips for Evaluating Employers and Opportunities

1 rating

Learn how to evaluate employers, managers, job security, workplace red flags, and personal values before choosing or leaving a job.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

Data Lakehouse - An Introduction

A conceptual introduction to data lakehouses, comparing their governance and transactional features with traditional data lakes, relational databases, and data warehouses.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Databricks - How to Use Workflows

Learn to orchestrate Databricks jobs as DAG-based workflows with dependencies, parallel tasks, scheduling, logging, alerts, and repair runs.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Hot Technologies in Data Analytics - What You Need to Learn

Learn how to evaluate emerging data analytics technologies, including Databricks, its alternatives, and Airflow alternatives.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Calling REST API's with Python - Talkwalker

Learn to call Talkwalker’s REST API with Python, process its JSON results, and save social media analytics data to a SQLite database.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Databricks Fast Lanes - Better Performance and Lower Costs

Explore Databricks Fast Lane, which prioritizes short SQL Endpoint queries to improve high-concurrency analytics performance and reduce workload costs.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Master Databricks and Apache Spark - SparkR Usage - Lesson 35

Use SparkR to work with R on Databricks and Apache Spark, from DataFrames and SQL to transformations and joins.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Master Databricks and Apache Spark - Introduction

An introductory lesson comparing scale-up and scale-out while explaining Apache Spark, Databricks, Hadoop, and their architectures and services.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Master SQL with Python: Maintaining Data in Oracle Using Merge - Lesson 14

Use Python and pandas with Oracle's MERGE statement to insert, update, and delete rows while keeping table data current.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Master SQL with Python: Maintaining Data in SQL Server Using Merge - Lesson 13

Learn to use SQL Server’s MERGE statement with pandas to insert, update, and delete rows while maintaining current data.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Master SQL with Python: Maintaining Data in PostgreSQL Using Upsert - Lesson 12

Learn to maintain current PostgreSQL tables from Python by using SQL UPSERT to insert, update, and delete rows efficiently.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Master Databricks and Apache Spark Step by Step - PySpark Using RDDs

Learn how PySpark RDDs use lazy evaluation, transformations, and actions to process distributed data in a Databricks notebook.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Using SQL Window Functions in Databricks and Apache Spark - Lesson 16

Learn to use Spark SQL window functions in Databricks notebooks for cumulative totals, ranking, and aggregations alongside detailed rows.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Using SQL Views in Databricks and Apache Spark - Lesson 12

Learn to create reusable SQL views in Databricks, using common table expressions, aggregation, CASE statements, and permanent tables.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Understanding Spark SQL - Lesson 6

Learn how Spark SQL supports optimized queries, schema-on-read, and parallel applications across Python, R, and Scala.

• YouTube
• 27 minutes
• Self-Paced
• Free Video