Udemy - Databricks Spark Streaming, Delta Lake and SQL, AI Analytics

seeders: 1
leechers: 5
Added 11 hours ago by freecoursewb in Other

Download Fast Safe Anonymous
movies, software, shows...

Files

Udemy - Databricks Spark Streaming, Delta Lake and SQL, AI Analytics (Size: 3.3 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Real-Time Data Processing with Spark Structured Streaming
  1 - Introduction to Spark Structured Streaming – Lesson 1 (Description).html 819.2 B
  1 - Introduction to Spark Structured Streaming – Lesson 1.mp4 129.1 MB
  1 - Quiz.html 21.2 KB
  2 - Introduction to Spark Structured Streaming – Lesson 2 (Description).html 819.2 B
  2 - Introduction to Spark Structured Streaming – Lesson 2.mp4 80.8 MB
  2 - Scalable Data Ingestion with Databricks Auto Loader
  10 - Auto Loader Architecture and Design Concepts (Description).html 819.2 B
  10 - Auto Loader Architecture and Design Concepts.mp4 71.9 MB
  11 - Auto Loader with Databricks – Lesson 1 (Description).html 819.2 B
  11 - Auto Loader with Databricks – Lesson 1.mp4 133.3 MB
  12 - Auto Loader with Databricks – Lesson 2 (Description).html 819.2 B
  12 - Auto Loader with Databricks – Lesson 2.mp4 154.6 MB
  13 - Auto Loader with Databricks – Lesson 3 (Description).html 819.2 B
  13 - Auto Loader with Databricks – Lesson 3.mp4 109.2 MB
  14 - Auto Loader with Databricks – Lesson 4 (Description).html 716.8 B
  14 - Auto Loader with Databricks – Lesson 4.mp4 224.3 MB
  2 - Quiz.html 21.3 KB
  3 - SQL-Based Data Ingestion with COPY INTO and Delta Lake
  15 - COPY INTO Explained - A SQL-First Approach to Delta Table Ingestion (Description).html 819.2 B
  15 - COPY INTO Explained - A SQL-First Approach to Delta Table Ingestion.mp4 65.1 MB
  16 - Practical Guide COPY INTO with Delta Tables – Lesson 1 (Description).html 819.2 B
  16 - Practical Guide COPY INTO with Delta Tables – Lesson 1.mp4 71.9 MB
  17 - Practical Guide - COPY INTO with Delta Tables – Lesson 2 (Description).html 819.2 B
  17 - Practical Guide - COPY INTO with Delta Tables – Lesson 2.mp4 60.8 MB
  18 - Practical Guide - COPY INTO with Delta Tables – Lesson 3 (Description).html 819.2 B
  18 - Practical Guide - COPY INTO with Delta Tables – Lesson 3.mp4 48.5 MB
  19 - Practical Guide - COPY INTO with Delta Tables – Lesson 4 (Description).html 819.2 B
  19 - Practical Guide - COPY INTO with Delta Tables – Lesson 4.mp4 83.6 MB
  3 - Quiz.html 21.4 KB
  4 - Analytics, Dashboards, and AI with Databricks SQL
  20 - Introduction to Databricks SQL (Description).html 716.8 B
  20 - Introduction to Databricks SQL.mp4 96.7 MB
  21 - Databricks SQL Interface and Core Components (Description).html 819.2 B
  21 - Databricks SQL Interface and Core Components.mp4 65.8 MB
  22 - Exploring the Databricks SQL Editor Lesson 1 (Description).html 716.8 B
  22 - Exploring the Databricks SQL Editor Lesson 1.mp4 62.4 MB
  23 - Exploring the Databricks SQL Editor Lesson 2 (Description).html 819.2 B
  23 - Exploring the Databricks SQL Editor Lesson 2.mp4 45.5 MB
  24 - Exploring the Databricks SQL Editor Lesson 3 (Description).html 819.2 B
  24 - Exploring the Databricks SQL Editor Lesson 3.mp4 68.2 MB
  25 - Using Parameters in Databricks SQL Queries (Description).html 716.8 B
  25 - Using Parameters in Databricks SQL Queries.mp4 110.6 MB
  26 - Using Query Snippets in Databricks SQL (Description).html 819.2 B
  26 - Using Query Snippets in Databricks SQL.mp4 88.2 MB
  27 - Scheduling SQL Queries (Description).html 716.8 B
  27 - Scheduling SQL Queries.mp4 81.4 MB
  28 - Inside the Query Engine – Lesson 1 (Description).html 716.8 B
  28 - Inside the Query Engine – Lesson 1.mp4 145.9 MB
  29 - Inside the Query Engine – Lesson 2 (Description).html 716.8 B
  29 - Inside the Query Engine – Lesson 2.mp4 152.9 MB
  30 - From Queries to Alarms – Lesson 1 (Description).html 716.8 B
  30 - From Queries to Alarms – Lesson 1.mp4 87.7 MB
  31 - From Queries to Alarms – Lesson 2 (Description).html 716.8 B
  31 - From Queries to Alarms – Lesson 2.mp4 77.8 MB
  32 - Genie in Databricks SQL – Lesson 1 (Description).html 716.8 B
  32 - Genie in Databricks SQL – Lesson 1.mp4 116.8 MB
  33 - Genie in Databricks SQL – Lesson 2 (Description).html 716.8 B
  33 - Genie in Databricks SQL – Lesson 2.mp4 52.2 MB
  34 - Building AI-Assisted Dashboards in Databricks SQL – Lesson 1 (Description).html 819.2 B
  34 - Building AI-Assisted Dashboards in Databricks SQL – Lesson 1.mp4 60.7 MB
  35 - Building AI-Assisted Dashboards in Databricks SQL – Lesson 2 (Description).html 819.2 B
  35 - Building AI-Assisted Dashboards in Databricks SQL – Lesson 2.mp4 69.4 MB
  4 - Quiz.html 24.3 KB
  5 - Extra
  36 - extra.html 5.6 KB
  9 - Auto Loader Fundamentals (Description).html 716.8 B
  9 - Auto Loader Fundamentals.mp4 95.2 MB
  3 - Spark Structured Streaming in Practice – Lesson 1 (Description).html 819.2 B
  3 - Spark Structured Streaming in Practice – Lesson 1.mp4 87.5 MB
  4 - Spark Structured Streaming in Practice – Lesson 2 (Description).html 819.2 B
  4 - Spark Structured Streaming in Practice – Lesson 2.mp4 106.5 MB
  5 - Spark Structured Streaming in Practice – Lesson 3 (Description).html 819.2 B
  5 - Spark Structured Streaming in Practice – Lesson 3.mp4 85 MB
  6 - Spark Structured Streaming in Practice – Lesson 4 (Description).html 819.2 B
  6 - Spark Structured Streaming in Practice – Lesson 4.mp4 169.6 MB
  7 - Spark Structured Streaming in Practice – Lesson 5 (Description).html 819.2 B
  7 - Spark Structured Streaming in Practice – Lesson 5.mp4 116.1 MB
  8 - Spark Structured Streaming – Checkpoint (Description).html 716.8 B
  8 - Spark Structured Streaming – Checkpoint.mp4 145.2 MB

Description


Databricks Spark Streaming, Delta Lake & SQL, AI Analytics
https://WebToolTip.com
Published 7/2026

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Language: English | Duration: 5h 30m | Size: 3.34 GB
Spark Structured Streaming, Auto Loader, COPY INTO, Delta Lake and Databricks SQL Genie with AI-powered data engineering
What you'll learn

Real-Time Data Processing with Spark Structured Streaming

Understanding batch vs streaming data processing

Spark Structured Streaming fundamentals

Micro-batch processing in Spark

Streaming sources, transformations, and sinks

Building streaming pipelines in Databricks

Writing streaming data with writeStream

Understanding triggers and streaming execution control

Using checkpointing for fault tolerance

Building reliable streaming pipelines with Delta Lake

Scalable Data Ingestion with Databricks Auto Loader

Auto Loader fundamentals and architecture

File discovery and incremental ingestion

Schema inference and schema management

Schema evolution and rescue mode

Building Auto Loader pipelines in Databricks

Writing Auto Loader output to Delta Lake

Understanding checkpoint and state management

Inspecting Auto Loader results and Delta logs

SQL-Based Data Ingestion with COPY INTO

Understanding COPY INTO in Databricks

Loading files into Delta tables using SQL

Batch and semi-batch ingestion patterns

Incremental loading without duplicate ingestion

Creating Bronze tables with COPY INTO

Transforming Bronze data into Silver tables

Working with Delta Lake ingestion workflows

Introduction to Databricks SQL

Understanding the Databricks SQL interface

Exploring the SQL Editor

Writing and running analytical SQL queries

Working with multiple SQL queries

Exporting SQL query results

Using parameters in Databricks SQL queries

Using Query Snippets for reusable SQL logic

Scheduling SQL queries

Understanding SQL Warehouses

Query History and Query Profile

Monitoring SQL query performance

Understanding query execution details

Creating alerts from SQL query results

Building monitoring logic with Databricks SQL alerts

Using Genie in Databricks SQL

Asking questions with natural language

Building AI-assisted dashboards

Turning processed data into business insights

Presenting Lakehouse data to business users
Requirements

A basic understanding of Databricks fundamentals, including notebooks, clusters, and Delta tables, is recommended

A working computer: Windows, Mac, or Linux

A stable internet connection

Access to Databricks Free Edition or any Databricks workspace

Basic understanding of SQL

Basic understanding of data tables, columns, and rows

Basic familiarity with Python or PySpark is helpful but not mandatory

Interest in data engineering, analytics, and modern data platforms

Curiosity about Databricks, Spark, Delta Lake, and Lakehouse architecture

No advanced Spark knowledge required

No prior Structured Streaming experience required

No prior Auto Loader experience required

No advanced BI or dashboarding experience required

Motivation to learn how real-world data pipelines and analytics systems work

Related Torrents

torrent name size uploader age seed leech
6
8
5
6
1