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Data Engineering For Everyone @UCdd9xvduzPOYeDAT9k5d9pw@youtube.com

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Welcome to our Data Engineering For everyone channel! Here,


39:16
MS Fabric End to End Project on Fraud Analytics
03:48
Data Engineering for Everyone: Top Choice in Bard AI's YouTube Plugin!
01:26:19
Demystifying Microsoft Fabric: A Collaborative Dive with Microsoft GBB
23:20
Exploring the Power of Generative AI: An Introduction to Cutting-Edge Technology
18:08
From Data Ingestion to Model Deployment: A Comprehensive Azure ML and Databricks End to End Project
45:53
Expert Insights on Spark Memory Management: Answering the Top Interview Questions
44:27
Top Spark Performance Tuning Interview Questions and Answers
53:51
Master Spark Partitioning and Bucketing: Top Interview Questions Answered
38:25
Most Asked interview question in Apache Spark ‘Joins’
09:32
chatgpt generates Spark code in minutes
02:09:24
Azure IOT - End to End Project
11:02
Azure IOT End to End Project : Understanding Customer Situation
24:07
Azure IOT End to End Project (Part 1)
01:43:32
Fraud Analytics using Azure Synapse and Power BI: End to End Project
26:41
Snowflake : Type of tables
35:22
Snowflake : Time Travel and Fail Safe
46:01
Apache ORC :Master Class (Everything you need to know about ORC)
01:30:34
Snowflake : Master Class (Part 1)
01:46:39
Azure : Data Factory and DataBricks End to End Project
01:45:52
Avro file format : Schema Evolution Support , Read and Write Avro files using Spark.
01:32:39
Git Master Class : Git internals and commands explained in most simplified way
01:20:00
Spark End to End Project : Sentiment analysis Twitter : Kafka and Spark Structured Streaming
01:02:08
Apache Kafka : Leader and follower partitions and ISR
01:17:04
Apache Kafka : Master class 1/2
01:30:29
Spark Structured Streaming : Aggregations ,Watermark and Joins Simplified
47:51
Spark Structured Streaming : Input sources and Triggers
34:39
Path to become a data engineer
01:02:42
(27) Spark Structured Streaming : Master Class
45:31
(26) Spark Streaming : Stateful operations Hands-on
19:16
(25) Spark Streaming : Stateless Vs Stateful operations Explained
57:13
(24) - Spark Streaming : Introduction and hands-on (read stream from Socket)
25:25
HDFS in Hindi
44:30
How to crack Hadoop and Spark Interview : Do's and Don't
34:39
Hadoop/Spark : Where to start, what to learn, how to prepare for interviews??
01:04:04
(23) - Spark SQL : Catalyst Optimizer and Tungsten Engine
01:01:38
(22) - Spark Dataframe: Group and Window functions aggregation master class.
01:16:20
(21) - Spark DataFrame Join : Join Internals (Sort Merge Join, Shuffle Hash Join , Broadcast Hash)
01:29:42
(20) - Spark dataframe : Reading-Writing modes , Joining , repartition , coalesce, partitionBy etc
01:05:49
(19) - Spark Structured API : Hands On
58:40
(18) - Spark Structured API : DataFrame Vs DataSet
01:05:47
(17) - Spark : Cache vs Persist, Accumulator and Broadcast Variable
01:16:05
(16) - Spark and Yarn Architecture
01:12:59
(15) - Spark : Actions and Transformations Hands On
01:04:26
(14) - Spark Actions and Transformation
50:50
(13) - Spark Concepts
01:28:47
(12) - Scala for Data Engineering
01:03:36
(11) - Hbase complete Hands On
38:34
(10) - HBASE Data Model and Architecture
52:59
(09) - Hive Hands On And NoSql Introduction
01:09:43
(08) - Hive Performance Tuning Hands On
01:27:58
(07) - Hive Hands-on 3
01:00:00
( 02) - Linux Commands & Map Reduce Theory
01:15:52
(06) - Hive Hands-on 2
58:38
(05) - Hive Hands-on 1
55:53
(04) - Hive Theory
01:12:21
Sqoop Hands On - 03
01:14:35
HDFS - 01