Big Data - Hadoop and PySpark
Big Data
Updated on May, 2024
Language - English
Lectures -186
Duration -28 hours
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Course Description
The "Big Data - Hadoop & PySpark Course" encompasses a comprehensive range of topics, beginning with the fundamental aspects of Big Data and progressing to the proficiency required for active participation in real-world projects. This course is essential for individuals within the IT industry and aspiring Big Data professionals. It strikes a perfect balance between imparting core big data concepts and providing extensive hands-on experience in HDFS, MapReduce, HIVE, SQOOP, No-SQL, Kafka, and a detailed exploration of PySpark.
Curriculum
Check out the detailed breakdown of what’s inside the course
Welcome to the course
1 Lectures
-
Welcome
06:43
06:43
The Fundamentals
4 Lectures
The Foundations of Big Data
5 Lectures
Environment and Installation
5 Lectures
Hadoop Ecosystem
1 Lectures
Hadoop Distributed File system
9 Lectures
Map Reduce
9 Lectures
HIVE
27 Lectures
PYTHON FOR PYSPARK
19 Lectures
APACHE SPARK
5 Lectures
OVERVIEW OF SPARK
8 Lectures
STRUCTURED API OVERVIEW
4 Lectures
OPERATIONS ON DATAFRAMES
9 Lectures
WORKING WITH DIFFERENT TYPES OF DATABASE
13 Lectures
CREATING DATAFRAMES FROM DIFFERENT SOURCES
18 Lectures
AGGREGATIONS
13 Lectures
SPARK JOINS
13 Lectures
RESILIENT DISTRIBUTED DATASETS- RDDs
13 Lectures
DISTRIBUTED VARIABLES
5 Lectures
HOW SPARK RUNS ON A CLUSTER
5 Lectures
Instructor Details
Blismos Academy
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