Apache Spark Training in Hyderabad

Introduction to Big Data

Overview of Apache Spark

Spark architecture and components

Advantages of Apache Spark over Hadoop

Introduction to Spark Core

Spark RDDs (Resilient Distributed Datasets)

Transformations and actions

Spark SQL

Introduction to Spark Streaming

Spark Streaming architecture

Transformations and actions in Spark Streaming

Window operations

Introduction to Spark MLlib

MLlib data types and algorithms

Supervised and unsupervised learning

Classification and regression algorithms

Clustering and collaborative filtering

Introduction to GraphX

GraphX API and data model

Graph algorithms

Pregel API

Introduction to Spark SQL and DataFrames

Spark SQL architecture and components

Creating DataFrames

Manipulating DataFrames

Introduction to performance tuning and optimization

Bottlenecks and optimization techniques

Resource allocation and cluster configuration

Cache management

Introduction to YARN

Running Spark on YARN

YARN cluster configuration

Resource allocation and tuning

Introduction to Mesos

Running Spark on Mesos

Mesos cluster configuration

Resource allocation and tuning

Introduction to Kubernetes

Running Spark on Kubernetes

Kubernetes cluster configuration

Resource allocation and tuning