Sumit Mittal

5:46:41

Python for Data Engineers by Sumit Sir | Become a master of (List, Tuple, Dictionary & Set)

3:17

TrendyTech - Transforming Lives

5:40:46

End to End Azure Data Engineering Project by Sumit Sir

3:45:28

Complete Git and GitHub Course in 4 hours

3:07:18

Complete Azure Data Engineering Project by Sumit Sir

0:51

TrendyTech Student's Success Journey | Databricks Engineer | Cloud Big Data Engineer Roadmap

0:50

Success Journey | TrendyTech Students | Azure Data Engineer | Cloud Big Data Engineer Roadmap

1:00

Success Journey | TrendyTech Student | Azure Data Engineer | Cloud Big Data Engineer Roadmap

0:55

Success Journey | TrendyTech Student | Data Engineer | Working @Walmart | Roadmap | Big Data

1:00

Journey of a TrendyTech Student #success | Data Engineer | Working @target | Roadmap | Big Data

0:59

Journey of a TrendyTech Student #success | Data Engineer | Working @Walmart | Roadmap | Big Data

0:59

Journey of a TrendyTech Student #success | Data Engineer | Working @amex | Roadmap - Data Engineer

0:52

Journey of a TrendyTech Student #success | Data Engineer | Working @Visa | Roadmap - Data Engineer

0:45

Trendytech Superstars Working in Top Companies - DATABRICKS | WALMART | AMERICAN EXPRESS | AMADEUS

2:44

Grand Award Ceremony | Star Data Engineers of TrendyTech 2024 Working @ TOP PRODUCT BASED COMPANIES

0:45

Celebrating the Success of Top Data Engineers 2024 | VISA | WALMART | ATLASSIAN | TARGET #success

0:44

Advantages of PARQUET FILE FORMAT in Apache Spark | Data Engineer Interview Questions #interview

0:58

Using Partitioning for Optimizing the Query Performance | Big Data Interview Questions #interview

0:53

Understanding Apache Spark Architecture | Common Big Data Interview Questions #interview

20:06

Big Data Interview | Mock | Problem Solving | Technical Round | Pyspark , SQL #interview #question

0:36

What is DAG | DAGs in Spark provide a framework for optimized and fault-tolerant execution of tasks

0:46

Partitioning Vs Bucketing | Apache Spark Optimization Techniques #interview #question

24:12

Big Data Engineer Mock Interview | Questions on Data Skewness | Salting | Out of Memory Error

0:41

Client Mode and Cluster Mode in Apache Spark Explained in 60 second #interview #question

45:45

Big Data Engineer Live Mock Interview | Topics: Pyspark, Delta Lake, Data Profiling, Data Governance

51:18

Top Big Data Interview Questions asked in 2024 | Cloud Data Engineer | Azure | Spark | SQL#interview

0:57

Spark Application | Driver and Executor Role in Task Execution | DAG #interview #question

0:56

How is Apache Spark In-Memory Computation Different from MapReduce Processing | Highly Performant

34:56

Azure Cloud Data Engineer Interview | Real-time Scenario based Questions & Expert Feedback | BigData

1:00

Must Know Big Data Interview Questions | Row Based Vs Column Based File Format #interviewn#question

0:46

Real-time Big Data Project Common Scenarios | How are Duplicates handled in PySpark #interview

29:08

Azure Cloud Data Engineer Mock Interview | Important Questions asked in Big Data Interviews| Pyspark

0:48

Understanding ACID Properties Under 60 seconds #interview #question

33:46

Live Must Watch Mock Interview for Experienced Big Data Engineers | Debug Production Issues | CICD

0:39

Understanding How Apache Spark Works Underneath the Hood | MapReduce Processing Big Data #interview

0:47

Important Types in Data Modeling | Interview Questions for Big Data Interviews #interview #bigdata

34:08

Must Watch Live Mock Interview for Aspiring Big Data Engineers | PySpark, Hive & SQL #interview

0:45

Important Big Data Terminologies | Name Node & Data Node | Spark architecture #interview

31:05

Important Data Structures and Algorithms Mock Interview for Data Engineers Spark | SQL #interview

0:40

Understanding the Working of Azure Data Factory Service in Simple Terms #interview #question

0:56

DSA Question | Analytical Problem Solving | Logic building | Puzzle #interview #question

42:41

Must Watch Live Mock Interview for Aspiring Azure Data Engineers | Azure Data Pipeline, PySpark, SQL

0:42

Understanding Azure Data Factory Service | Data Factory Vs Databricks #interview #question

0:35

Learning the Difference between Spark Session and Spark Context | Big Data #interview #question

58:03

Real-time Data Modeling & System Design Mock Interview for Data Engineers #interview #important

59:41

Must Watch Live Mock Interview For Data Engineers | System Design | Data Modeling #interview

42:33

Everything that you need to know about the Big Data Interviews | Pyspark | Databricks | Azure | AWS

0:46

Explanation on Handling Duplicate Rows in PySpark | dropDuplicates() | dropDuplicates(column_name)

35:41

PySpark Mock Interview | Basic Coding Round | Python | SQL | Join Optimizations #interview #bigdata

11:10

Live Big Data Project Interview Questions | Project Architecture | Data Pipeline #interview

6:14

Top Cloud Data Engineer Interview Questions | Azure | AWS | #interview #bigdata #question

32:44

Big Data Mock Interview | DSA | APACHE SPARK | PYTHON | DATABRICKS #interview

44:35

Live Apache Spark Mock Interview | Spark | SQL | Databricks | Project based #interview #question

12:46

Top 15 Spark Interview Questions in less than 15 minutes Part-2 #bigdata #pyspark #interview

0:48

Understanding the Different Types of Fact Tables in ETL | Extract Transform & Load #interview #sql

12:44

15 Data Engineering Interview Questions in less than 15 minutes Part-1 #bigdata #interview

0:48

Understanding the Difference Between Repartition and Coalesce in Spark | Spark Optimization Strategy

0:55

Finally Youtube Silver Play Button

47:01

Live Databricks Developer Mock Interview | Azure | Spark | SQL #coding #interview

1:00

Medallion Architecture Explained in 60 Seconds |Azure Cloud - BRONZE, SILVER & GOLD Layer#interview

0:58

Understanding How to Handle Data Skewness in PySpark #interview

35:32

Live Big Data Mock Interview | WALMART | Technical Round | Spark, SQL, Python #interview

0:50

Understanding the Working of Apache Spark's Catalyst Optimizer in Improving the Query Performance

0:59

Understanding Slowly Changing Dimension SCD in ETL under 60 Seconds #interview #question

37:49

Live Big Data Mock Interview | Techno-Managerial Round | Scenario Based Questions #interview

0:52

Ensuring Uniquness of Incoming Data in Incremental Load | Spark #interview

0:47

Understanding Apache Spark's Adaptive Query Execution - AQE| Spark Optimization Strategy #interview

30:26

Live Big Data Mock Interview | Technical Round 2 : PySpark | Slowly Changing Dimensions | Data Skew

0:48

Understanding the Use-Case of Snowflake Schema : Transactional or Reporting Database #interview

0:58

Explanation of Normal Forms | 1NF, 2NF, 3NF, 4NF #sql #interview

31:26

Apache Spark 1st Technical Round Live Interview | Spark Optimization Coding #interview #question

0:46

Exploring an Important feature of Spark Session #interview #bigdata

0:41

Understanding the Evaluation of Jobs, Stages and Tasks in a Spark Job #interview #question

59:01

Big Data Mock Interview for Freshers | Data Engineer Screening Round | Spark, Python, SQL #interview

0:56

Understanding Apache Spark's Optimizations Strategy | Lazy Evaluation for Performance Optimization

0:51

Understanding Change Data Capture CDC in Databricks #interview #question

52:18

Live System Design Mock Interview Round for Data Engineers | Project & Scenario Based #interview

0:43

Understanding Normalization under 60 Seconds | Data Engineering Interview Questions

0:52

Amazon Redshift's Sortkey Vs Distkey Explanation | AWS Services | #interview #question

41:58

Apache Spark 1st Technical Round Live Interview for Experienced Candidates | Azure | SQL #interview

0:51

Understanding Left Join | Left Join Vs Left Anti-Join | Spark #interview #question

0:59

Understanding How to Handle Cold Start Issue in Lambda Functions #interview #tips

44:42

Live Azure Data Engineering Mock Interview | Technical Round | Out of Memory Issue | SQL #interview

0:49

Exploring AWS Services | Understanding Amazon Redshift Spectrum & Glue Catalog #interview #question

0:59

Spark Vs MapReduce Explained under 60Seconds | Exploring Advantages & Unlocking Efficiency of Spark

51:29

Live AWS Mock Interview for Data Engineers | AWS Techno Managerial Round | Scenario-based | Project

0:58

Explaining the Hash Function Employed in Bucketing Optimization within Apache Spark #interview

0:59

Partitions and CPU Core Allocation in Apache Spark

50:59

Live Data Engineering Coding Round Mock Interview | Apache Spark | Big Data Project #interview

1:00

Ensuring Data Quality in Apache Spark | Best Practices for High Quality Data #interview #question

0:47

Understanding Slowly Changing Dimensions - SCD Type 2 in Apache Spark #interview #question

49:47

Live Data Engineering Technical Round Mock Interview | Apache Spark, SQL & Project #question

0:48

Understanding how to Optimize PySpark Job | Cache | Broadcast Join | Shuffle Hash Join #interview

41:58

Live Data Engineer 1 Mock Interview | YOE 1 - 3 | Apache Spark | SQL | Scala | Kafka #interview

43:19

Python Sets with Realtime Usecases | Python by Sumit Sir

0:59

Partitioning Vs Bucketing in Apache Spark under 60 Seconds #inteview #question

0:50

Understanding the Different Join Strategies in PySpark | Broadcast Join & Sort Merge Join #interview

59:49

Live Managerial Round Data Engineering Interview | PySpark | DSA | Project #interview #question

0:54

CAP Theorem under 60 seconds | Consistency | Availability | Partition Tolerance #interview #question

1:00

Cluster Configuration in Apache Spark | Thumb rule fo optimal performance #interview #question