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17:05
Ch.04-27: Demo: Repartition Vs. Coalesce
21:15
Ch.04-26: Demo: Spark RDD APIs
05:19
Ch.04-10: Demo: Running Spark on Databricks
19:17
Ch.04-25: Demo: Joining RDDs
06:57
Ch.04-24: Demo: GroupByKey Vs. ReduceByKey
03:48
Ch.04-23: Demo: RDD Text Manipulation
06:44
Ch.04-22: Demo: Immutability In Spark
06:57
Ch.04-21: Transformations Narrow Vs Wide
17:41
Ch.04-20: Spark Operations
06:31
Ch.04-19: Spark Data Partitioning
03:04
Ch.04-18: Spark Executors
08:09
Ch.04-17: Spark Execution Mode
05:22
Ch.04-16: Spark Cluster Manager
07:45
Ch.04-15: Spark Session
08:09
Ch.04-14: Spark Driver
03:03
Ch.04-13: Spark Applications
10:28
Ch.04-12: Spark Characteristics
06:08
Ch.04-11: From Map Reduce To Spark
09:08
Ch.04-09: Demo: Running Spark on Windows
03:36
Ch.04-08: Demo: Running Spark on MacOS
05:05
Ch.04-07: Demo: Running Spark on Linux Ubuntu
02:30
Ch.04-06: Running Spark
06:27
Ch.04-05: Spark In The Data Platforms
08:02
Ch.04-04: About Databricks
10:21
Ch.04-03: Introduction to Apache Spark
10:46
Ch.04-02: Python Vs. Scala
06:16
Ch.04-01: Introduction to Apache Spark
00:07
Channel Into
38:21
Apache Iceberg Deep Dive | Part 2 | Crash Course
01:04:04
Apache Iceberg Deep Dive | Part 1 | Crash Course
23:37
Pi-Hole Setup on Raspberry Pi | Part 3
30:42
Pi-Hole Setup on Raspberry Pi | Part 2
28:04
Pi-Hole Setup on Raspberry Pi | Part 1
17:29
Ch.03-25- Hive Demo | Hive | Hadoop
01:10:08
From Parquet to Delta Lake (In Arabic)
01:50:13
UK Global Talent Visa: Introduction, process, and Insights (Arabic)
37:58
Ch.03-24- Hive Tables | Hive | Hadoop
01:23:34
02- The Evolution of Data Mesh - Part 2
09:44
Ch.03-23- Hive Database | Hive | Hadoop
10:58
Ch.03-22- Table Format | Hive | Hadoop
05:55
Ch.03-21- Query Execution Flow | Hive | Hadoop
19:55
Ch.03-20- Apache Hive Architecture | Hive | Hadoop
13:17
Ch.03-19- Apache Hive vs Traditional RDBMS | Hive | Hadoop
13:02
Ch.03-18 - Introduction to Apache Hive | Hive | Hadoop
01:40:58
01- The Evolution of Data Mesh - Part 1
15:40
1 - The Big Picture: Datalake vs Transactional Datalake vs Lakehouse Architecture
01:04:36
2 - RDBMS and Salesforce | Data Lake Ingestion Layer | Solution Architecture
01:05:52
1 - Data Lake and DWH | Solution Architecture
20:21
Ch.03-17 - Anatomy of a File Read and Write | HDFS | Hadoop
21:08
Ch.03-16 - Hadoop Filesystems and CLI | Hadoop
09:58
Ch.03-15 -Map Side Join | Map Reduce | Hadoop
23:57
Ch.03-14 - Reduce Side Join | Map Reduce | Hadoop
13:32
Ch.03-13 - Secondary Sort - Part 2 | Map Reduce | Hadoop
19:00
Ch.03-12 - Secondary Sort - Part 1 | Map Reduce | Hadoop
17:37
Ch.03-11 - Custom Partitioner | Map Reduce | Hadoop
18:04
Ch.03-10 - Custom Writable Implementation | Map Reduce | Hadoop
21:04
Ch.03-09 - Inverted Index | Map Reduce | Hadoop
21:45
02 - Tech Story: Ingestion in Data Migration
15:50
Ch.03-08 - With vs Without Combiners | Map Reduce | Hadoop
11:01
Ch.03-07 - Combiner | Map Reduce | Hadoop