Complete Spark

Name: Complete Spark
Availability: InStock

No ratings yetHindi

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Complete Spark Course in Hindi with PySpark

Korshub's take

From overview to DataFrames

The course starts with what Apache Spark is and how it compares with Hadoop, then moves to the architecture, the ecosystem and the execution model with DAGs and lazy evaluation. Later lectures handle practical work: reading data, schemas, DataFrames and writing Parquet files.

Topics

Spark architecture, DAGs, stages and tasks
Reading data, read modes and corrupted records
Creating DataFrames and transforming them in PySpark
Partitioning and bucketing in practice
Interview questions, such as union against unionAll

Who it suits

Data engineers and analysts learning Spark in Hindi, with Databricks Community Edition as the practice environment. The introductory lectures are worth watching before the partitioning and execution-model sessions, which assume the basics.

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About this course

Please don't get confused based on the thumbnail numbering in this playlist.

Videos in this playlist include:

spark full tutorial series
spark overview | lec-1
Why Apache spark | Lec-2
how to create databricks community edition account
Hadoop vs Spark | Lec-3 | In depth explanation
databricks community edition overview
spark ecosystem | Lec - 4
Read data in spark | Lec-3 | Read modes in spark
spark architecture | Lec-5
schema in spark | Lec-4
Handling corrupted records in spark | PySpark | Databricks
transformation and action in spark
DAG and Lazy Evaluation in spark
how to read json file in pyspark
spark sql engine in spark | Lec-8
rdd in spark | Lec-9
what is Apache Parquet file | Lec-7
How to write dataframe to disk in spark | Lec-8
Partitioning and bucketing in Spark | Lec-9 | Practical video
spark session vs spark context | Lec-10
Spark Job, Stages, Tasks | Lec-11
how to create dataframe in spark | Lec-10
dataframe transformations in spark | Lec-11
dataframe transformations in spark | Lec-12
union vs unionAll | Lec-13 | spark interview questions

…and 24 more videos.

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