The Rooster Podlog
Understanding Apache Iceberg using Drone Manufacturing
59:01
The Rooster Podlog
Google's guide on Prompt Engineering - The LEGO way
36:02
The Rooster Podlog
Understanding Skew, Memory Spills, Salting and Partitioning in Spark - LEGO way
38:42
The Rooster Podlog
Understanding Spark DAG, Tungsten vs Velox Engines Through LEGO Blocks
21:59
The Rooster Podlog
Seeds of Change: How Norman Borlaug, MSS, and Indira Gandhi Revolutionized Indian Agriculture
19:54
The Rooster Podlog
Spark Data Abstractions - The LEGO building Way
20:53
The Rooster Podlog
From Tariffs to TTL: Cache Eviction for Data Engineers
21:45
The Rooster Podlog
And then they came back!!!
17:52
The Rooster Podlog
Level Up Your Spark: Caching, Persistence, and Checkpointing Explained!
19:17
The Rooster Podlog
The Power of Will Over Talent
17:21
The Rooster Podlog
Like Skies, We will capture the Mars!!!
12:10
The Rooster Podlog
Spark Execution Steps: From Booking to the Final Bell in WWE match!!!
35:43
The Rooster Podlog
Punta Cana: A Family Adventure in Caribbean Paradise
18:47
The Rooster Podlog
Learn PySpark - The WWE Way
25:38
The Rooster Podlog
The Nominative Determinism and the Parental Trap
11:51
The Rooster Podlog
#BookReads - SPAS - Fundamentals of Stream Processing with Apache Spark
20:06
The Rooster Podlog
Spark Streaming Architecture
17:11
The Rooster Podlog
Challenging the Conventional Wisdom
11:37
The Rooster Podlog
Spark Streaming - Introduction
21:54
The Rooster Podlog
Foundations of Stream Processing
33:23
The Rooster Podlog
#BookReads - Streaming Databases - Serving Real-time Data
32:54
The Rooster Podlog
#BookReads - Streaming Databases - Stream Processing Platforms
30:13
The Rooster Podlog
#BookReads - Streaming Databases - Streaming Foundation
23:59
The Rooster Podlog
Data Consistency in Distributed System
26:34
The Rooster Podlog
Apache Spark - Joins and Optimizing them - Part 3
14:15
The Rooster Podlog
Apache Spark - Joins and Optimizing them - Part 2
19:34
The Rooster Podlog
Apache Spark - Joins and Optimizing them - Part 1
15:39
The Rooster Podlog
Evolution of Optimizers in Apache Spark
15:40
The Rooster Podlog
Revisiting Apache Spark Paper
13:40
The Rooster Podlog
Overview on Process vs Threads
18:34
The Rooster Podlog
Apache Spark - Partitioning and Bucketing
13:10
The Rooster Podlog
The Evolution of Data Engineering: From Relational Databases to Data Lakehouses
20:14
The Rooster Podlog
#BookReads - DDIA - Storage and Retrieval
28:44
The Rooster Podlog
#BookReads - SPAS - Stream Processing Architectures
16:56
The Rooster Podlog
Probabilistic Data Structures
32:27
The Rooster Podlog
#BookReads - DDIA - Replication And Partitioning
44:02
The Rooster Podlog
Distributed Systems - Consensus Mechanism, Distributed Transaction and Global Consistency
25:31
The Rooster Podlog
#BookReads - DDIA - Fundamentals of Designing Data Intensive Applications
18:24
The Rooster Podlog
#BookReads - DDIA - Encoding and Evolution
15:13
The Rooster Podlog
Power of Incentives
18:48
The Rooster Podlog
Thank you, Mr Osamu Suzuki
18:09
The Rooster Podlog
Thank you, John Bogle
22:28
The Rooster Podlog
Nietzsche on Hate, Abuse, and Self Preservation
18:12
The Rooster Podlog
Failure is a failure if you don't learn
22:48
The Rooster Podlog
#BookReads - SPAS - Stream Processing Model
20:36
The Rooster Podlog
Introduction to Streaming Databases
23:04
The Rooster Podlog
System Design : Part 1
15:53
The Rooster Podlog
Information Asymmetry
9:20
The Rooster Podlog
Spark Optimization Guidelines - A Perspective
24:10
The Rooster Podlog
Project Tungsten and the Performance Improvement it brought to Apache Spark
17:44
The Rooster Podlog
Deep Dive into Apache Parquet
26:25
The Rooster Podlog
#BookReads - SPAS - Introduction to Stream Processing with Apache Spark
15:41
The Rooster Podlog
Podcast #1 - Designing Data Intensive Applications
31:43