50 Lessons
186 Students
RAMANA RAJENDRAN
GOOD COURSE
What is Apache Spark used for? Apache Spark is an open-source, distributed processing system used for big data workloads. It utilizes in-memory caching and optimized query execution for fast queries against data of any size. Simply put, Spark is a fast and general engine for large-scale data processing.Is Apache Spark a database? Apache Spark can process data from a variety of data repositories, including the Hadoop Distributed File System (HDFS), NoSQL databases and relational data stores, such as Apache Hive. ... The Spark Core engine uses the resilient distributed data set, or RDD, as its basic data type.Is Apache Spark dying? The hype has died down for Apache Spark, but Spark is still being modded/improved, pull-forked on GitHub D-A-I-L-Y so its demand is still out there, it's just not as hyped up like it used to be in 2016. However, I'm surprised that most have not really jumped on the Flink bandwagon yet.
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What You'll Learn
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Master how to set up and configure Apache Spark for large-scale data processing and analytics
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Implement efficient data processing workflows using Spark RDDs, DataFrames, and Datasets for big data projects
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Optimize Spark performance through caching, partitioning, and query tuning techniques for faster data analysis
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Develop scalable Spark applications to handle diverse data sources like HDFS, NoSQL, and relational databases
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Apply Spark SQL for complex querying, data transformation, and integration with data warehouses
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Utilize Spark Streaming for real-time data processing and live analytics in big data environments
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Design and deploy Spark jobs on cloud platforms and distributed computing clusters effectively
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Troubleshoot common Spark issues related to performance, memory management, and data consistency
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Integrate Spark with other big data tools such as Hadoop, Hive, and Kafka for comprehensive data solutions
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Create data pipelines and workflows that automate large-scale data ingestion, processing, and reporting
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Implement security best practices in Spark to protect sensitive data during processing and storage
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Evaluate Spark's capabilities and limitations to determine its suitability for various big data projects
Course Content
50 Lessons • 3 h 34 m total
Apache Spark Introduction
Big Data Overview
Types of Data Under Big data
Big Data Technologies
Five V s in Big Data
What is Hadoop
Brief History on Hadoop
Hadoop Ecosystem
Introduction to Environment Setup
Installing Virtual Box Setup Machine
Installing Linux Environment
Installing JDK and JRE for Hadoop
Installing Hadoop for Single Node Cluster
Installing Hadoop on Pseudo Distributed Mode
Installing Scala into Linux System
Installing Spark into Linux System
Installation of Eclipse IDE
Install Scala Plugin for Eclipse
Spark Introduction
Spark Overview
History of Apache Spark
Spark Ecosystem
Features of Apache Spark
Limitations of Apache Spark
Use Cases of Apache Spark
Spark RDD Introduction
RDD in Spark
Features of RDDs
RDD Operation Transformations
RDD Operation Actions
Spark Map and FlatMap
Spark Core Programming Introduction
Spark Commands
Spark Transformation Functions
Spark Action Functions
Spark Wordcount Example
Spark SQL Introduction
Spark SQL Overview
Spark DataFrames Datasets
Spark SQL Advantages Disadvantages
How to Get The Certificate
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Complete all lessons.
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Watch at least 50% of Lesson Duration.
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4.3
(113 reviews)
Overall rating
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Shubha H T
Understandable
VIJAY ASHOK KARLAWAD
very informative and most valuable course
Lionel K Gbarlea
I'm so happy with the presentation of the course material
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Apache Spark Course Description
What is Apache Spark used for? Apache Spark is an open-source, distributed processing system used for big data workloads. It utilizes in-memory caching and optimized query execution for fast queries against data of any size. Simply put, Spark is a fast and general engine for large-scale data processing.Is Apache Spark a database? Apache Spark can process data from a variety of data repositories, including the Hadoop Distributed File System (HDFS), NoSQL databases and relational data stores, such as Apache Hive. ... The Spark Core engine uses the resilient distributed data set, or RDD, as its basic data type.Is Apache Spark dying? The hype has died down for Apache Spark, but Spark is still being modded/improved, pull-forked on GitHub D-A-I-L-Y so its demand is still out there, it's just not as hyped up like it used to be in 2016. However, I'm surprised that most have not really jumped on the Flink bandwagon yet.
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