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Apache Spark
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Week-1
Day-1-Topic-1-(What is big data)
Day-1-Assessment-(What is big data)
Day-1-Topic-2(Why Apache Spark)
Day-1-Assessment(Why Apache Spark)
Day-1-Topic-3(Overview of Spark's ecosystem (Spark Core, Spark SQL, Spark Streaming, MLlib, GraphX).)
Day-1-Assessment(Overview of Spark's ecosystem (Spark Core, Spark SQL, Spark Streaming, MLlib, GraphX).)
Day-1-Task-1-(Overview of Spark's ecosystem (Spark Core, Spark SQL, Spark Streaming, MLlib, GraphX).)
Day-2-Topic-1(Installing Spark locally or on a cluster.)
Day-2-Topic-2(Setting up necessary dependencies (Hadoop, Java, Scala, etc.).)
Day-3-Topic-1(Understanding RDDs.)
Day-3-Assessment(Understanding RDDs)
Day-3-task-1-(Understanding RDDs.)
Day-3-Topic-2(Creating RDDs, transformations, and actions.)
Day-3-Assessment(Creating RDDs, transformations, and actions.)
Day-3-Task-2(Creating RDDs, transformations, and actions.)
Day-3-Topic-3(Caching and persistence.)
Day-3-Assessment(Caching and persistence)
Day-4-topic-1(Introduction to DataFrames and Datasets.)
Day-4-Assessment(Introduction to DataFrames and Datasets)
Day-4-task-1(Introduction to DataFrames and Datasets.)
Day-4-Topic-2(Using Spark SQL for structured data processing.)
Day-4-Assessment(Using Spark SQL for structured data processing)
Day-4-Task-2(Using Spark SQL for structured data processing.)
Day-4-topic-3(DataFrame transformations and actions.)
Day-4-Assessment-(DataFrame transformations and actions.)
Day-4-Task-3-(DataFrame transformations and actions.)
Day-5-Topic-1(Practical exercises with RDDs, DataFrames, and Spark SQL.)
Day-5-Assessment-(Practical exercises with RDDs, DataFrames, and Spark SQL.)
Day-5-Task-1-(Practical exercises with RDDs, DataFrames, and Spark SQL.)
Week-2
Day-6-Topic-1(Introduction to Spark Streaming.)
Day-6-Assessment(Introduction to Spark Streaming.)
Day-6-Task-1(Introduction to Spark Streaming.)
Day-6-Topic-2-(Basics of micro-batch processing.)
Day-6-Assessment(Basics of micro-batch processing.)
Day-6-Task-2(Basics of micro-batch processing.)
Day-6-Topic-3(Streaming transformations and windowed operations.)
Day-6-Assessment(Streaming transformations and windowed operations)
Day-7-Topic-1(Introduction to Spark's machine learning library.)
Day-7-Assessment-(Introduction to Spark's machine learning library.)
Day-7-Task-1-(Introduction to Spark's machine learning library.)
Day-7-Topic-2(Machine learning workflows with Spark.)
Day-7-Assessment(Machine learning workflows with Spark.)
Day-7-Task-2(Machine learning workflows with Spark.)
Day-7-Topic-3(Common ML algorithms.)
Day-7-Assessment(Common ML algorithms.)
Day-7-Task-3(Common ML algorithms.)
Day-8-topic-1(Introduction to Spark GraphX.)
Day-8-Assessment(Introduction to Spark GraphX.)
Day-8-Task-1(Introduction to Spark GraphX.)
Day-8-Topic-2(Graph processing concepts.)
Day-8-Assessment-(Graph processing concepts)
Day-8-task-2(Graph processing concepts.)
Day-8-Topic-3-(GraphX operations and algorithms.)
Day-8-Assessment(GraphX operations and algorithms.)
Day-8-Task-3(GraphX operations and algorithms.)
Day-9-topic-1(Building a simple Spark Streaming application.)
Day-9-Assessment(Building a simple Spark Streaming application.)
Day-9-task-1(Building a simple Spark Streaming application.)
Day-9-Topic-2(Applying MLlib for predictive analytics.)
Day-9-Assessment(Applying MLlib for predictive analytics)
Day-9-task-2(Applying MLlib for predictive analytics.)
Day-9-topic-3(Graph processing with Spark GraphX.)
Day-9-Assessment-(Graph processing with Spark GraphX.)
Day-9-Task-3(Graph processing with Spark GraphX.)
Week-3
Day-10-Topic-1(Understanding Spark configurations.)
Day-10-Assessment-(Understanding Spark configurations.)
Day-10-Task-1(Understanding Spark configurations.)
Day-10-Topic-2(Performance tuning and optimization.)
Day-10-Assessment(Performance tuning and optimization.)
Day-10-Task-2-(Performance tuning and optimization.)
Day-11-Topic-1(Deploying Spark on a cluster.)
Day-11-Assessment(Deploying Spark on a cluster)
Day-11-Task-1(Deploying Spark on a cluster.)
Day-11-Topic-2(Cluster management tools (e.g., YARN, Mesos).)
Day-11-Assessment(Cluster management tools (e.g., YARN, Mesos).)
Day-11-Task-2(Cluster management tools (e.g., YARN, Mesos).)
Day-11-Topic-3(Monitoring and troubleshooting.)
Day-11-Assessment(Monitoring and troubleshooting.)
Day-11-task-3(Monitoring and troubleshooting.)
Day-12-Topic-1(Running Spark on cloud platforms (AWS, Azure, Google Cloud).)
Day-12-Assessment(Running Spark on cloud platforms (AWS, Azure, Google Cloud).)
Day-12-Task-1(Running Spark on cloud platforms (AWS, Azure, Google Cloud).)
Day-12-Topic-2(Benefits and challenges of cloud-based Spark.)
Day-12-Assessment(Benefits and challenges of cloud-based Spark.)
Day-12-Task-2(Benefits and challenges of cloud-based Spark.)
Day-13-Topic-1(Configuring Spark for optimal performance.)
Day-13-Assessment(Configuring Spark for optimal performance)
Day-13-Task-1(Configuring Spark for optimal performance.)
Day-13-Topic-2(Deploying Spark on a cluster.)
Day-13-Assessment(Deploying Spark on a cluster.)
Day-13-Task-2(Deploying Spark on a cluster.)
Day-13-Topic-3(Running Spark on a cloud platform.)
Day-13-Assessment(Running Spark on a cloud platform.)
Day-13-Task-3(Running Spark on a cloud platform.)
Week-4
Day-14-Topic-1(Industry-specific use cases (e.g., finance, healthcare, e-commerce).)
Day-14-Assessment(Industry-specific use cases (e)
Day-14-Task-1(Industry-specific use cases (e.g., finance, healthcare, e-commerce).)
Day-14-Topic-2(Real-world examples of Spark applications.)
Day-14-Assessment(Real-world examples of Spark applications.)
Day-14-Task-2(Real-world examples of Spark applications.)
Day-15-Topic-1(Connecting Spark to various data sources (e.g., databases, Kafka, HDFS).)
Day-15-Assessment(Connecting Spark to various data sources (e.g., databases, Kafka, HDFS).)
Day-15-Task-1(Connecting Spark to various data sources (e.g., databases, Kafka, HDFS).)
Day-15-topic-2(Data integration and ETL pipelines.)
Day-15-Assessment(Data integration and ETL pipelines.)
Day-15-Task-2(Data integration and ETL pipelines.)
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Apache Spark
Teacher:
admin admin
Skill Level
:
Beginner