Tutorials

48

Airflow Executors: Local, Celery, and Kubernetes

Data Engineering• airflow• celery• kubernetes• executors

Airflow Operators & Dependencies: Multi-Task DAGs

Data Engineering• airflow• python• dag

Airflow Reliability: Retries, SLAs, and Alerts

Data Engineering• airflow• dag• sla• retries

Airflow Scheduling: Intervals and Catchup

Data Engineering• airflow• dag• python• scheduling

Airflow Sensors: Wait for Files with FileSensor

Data Engineering• airflow• sensors• dag• python

Airflow TaskFlow API: Cleaner DAGs with Decorators

Data Engineering• airflow• python• dag• taskflow

Airflow XComs: Sharing Data Between Tasks

Data Engineering• airflow• dag• xcom• python

Airflow: Branching and Trigger Rules

Data Engineering• airflow• dag• python• branching• conditional

Airflow: Connections, Hooks, and Providers

Data Engineering• airflow• connections• postgres• dag

Airflow: Dynamic Task Mapping and Dynamic DAGs

Data Engineering• airflow• dag• python• task-mapping

Airflow: Write and Run Your First DAG

Data Engineering• airflow• dag• python

Apache Airflow

Learn Apache Airflow from the ground up. Build real DAGs, master operators and scheduling, pass data between tasks, handle failures, and connect to external systems.

Apache Airflow: Orchestration and First Look

Data Engineering• airflow• orchestration• dag• data-engineering

Argo CD Application Resource (CRD) Explained

DevOps• Argo CD

Argo CD Sync, diff & live vs desired state

DevOps• Argo CD

ArgoCD

Learn ArgoCD for GitOps: automate Kubernetes deployments, manage applications declaratively, and implement continuous delivery with this hands-on lab.

Caching and persistence

Data Engineering• spark• cashing• memory• persistence

Create and Query Your First Table in PostgreSQL

Data Analysis• Data Engineering• Backend Engineering• postgresql• sql• databases• crud

Deploy Your First Application with an Argo CD Application Manifest

DevOps• Argo CD

How to Back Up and Restore Databases in PostgreSQL

Data Analysis• Backend Engineering• Data Engineering• postgresql• backups• databases• sql

How to Create Protected Tables with Constraints in Postgres

Backend Engineering• Data Analysis• Data Engineering• postgresql• sql• databases

How to Install ArgoCD on Kubernetes in 5 Minutes: Step-by-Step Guide

DevOps• Argo CD

How to Optimize PostgreSQL Queries with Indexes

Data Engineering• Backend Engineering• Data Analysis• postgresql• databases• sql• performance• optimization

How to Use Subqueries and CTEs in PostgreSQ

Data Analysis• Backend Engineering• sql• nested queries• databases• postgresql

Joins, broadcast joins, and handling data skew

Data Engineering• spark• joins• skew• pyspark

Learn PostgreSQL Fundamentals

Master the core concepts of PostgreSQL in this lab. Learn SQL queries, data types, indexing, and database management for robust relational databases.

Learn PostgreSQL Operations

Learn PostgreSQL operations: master database management, backups, query optimization, and performance tuning.

Learn PostgreSQL Performance

Learn to optimize PostgreSQL database performance. This lab covers indexing, query tuning, configuration, and monitoring techniques to boost speed and efficiency.

Learn SQL Window Functions: PARTITION BY & Ranking

Data Analysis• Backend Engineering• Data Engineering• postgresql• sql• performance• databases

Partitions and shuffles in Spark

Data Engineering• spark• partitions• shuffle

PostgreSQL Bloat: Guide to MVCC, VACUUM, and Reclaiming Space

Data Analysis• Data Engineering• Backend Engineering• postgresql• sql• concurrency• databases

PostgreSQL Connection Pooling: The Complete PgBouncer Guide

Data Analysis• Data Engineering• Backend Engineering• postgresql• pooling• databases• sql• load balancing

PostgreSQL GROUP BY: A Guide to Data Aggregation

Data Analysis• Backend Engineering• Data Engineering• postgresql• sql• grouping• databases

PostgreSQL High Availability: Primary-Replica Configuration

Backend Engineering• Data Analysis• Data Engineering• postgresql• databases• streaming• load balancing• sql

PostgreSQL Joins Explained: Inner, Left, Right & Outer

Data Analysis• Backend Engineering• Data Engineering• postgresql• databases• tables• join• sql

PostgreSQL Normalization: How to Design Clean Databases

Backend Engineering• Data Analysis• Data Engineering• postgresql• sql• normalization• relations• databases

PostgreSQL Roles & Permissions: Guide to GRANT and REVOKE

Backend Engineering• Data Analysis• Data Engineering• postgresql• security• databases• roles• sql

PostgreSQL Transactions: Guide to BEGIN, COMMIT & ROLLBACK

Data Analysis• Backend Engineering• Data Engineering• postgresql• sql• databases• transactions• acid

RDDs, DataFrames, and how Spark actually executes your code

Data Engineering• spark• rdd• dataframe• pyspark• execution-model

Reading and writing streams — Kafka, files, and Delta

Data Engineering• spark• streaming• kafka• delta

Reading Postgres EXPLAIN plans: Scan Types & Fixes

Data Analysis• Backend Engineering• Data Engineering• postgresql• sql• performance• databases

Running on clusters (YARN / Kubernetes)

Data Engineering• spark• yarn• kubernetes

Structured Streaming basics

Data Engineering• spark• streaming

The DataFrame API and Spark SQL

Data Engineering• spark• dataframe• sql• join• query

Tuning memory and executors

Data Engineering• spark• executors• memory• pyspark

What is ArgoCD, why GitOps, installation and first look

DevOps• Argo CD

What Spark is and why distributed compute matters

Data Engineering• spark• pyspark• computing

Your first Spark analytics pipeline

Data Engineering• pyspark• spark• dataset-aggregation