Introduction

Introduction to Bigdata

Hadoop Ecosystem

Apache Spark

Features of Apache Spark

Apache Spark Stack

Introduction to RDD/DataFrame/Datasets

API – Scala/Python/Java/R (Polyglot)

What is good and bad In MapReduce?

Why to use Apache Spark

Cluster resource management

Standalone and Cluster mode ,YARN ,MESOS, Kubernetes

Programming  from scratch 

Scala  Basics ,Functions, collections

Getting started With Scala.

Interactive Scala – REPL, data types, variables, expressions, simple functions.

Iterating, mapping, filtering and counting

 Maps, Sets, group By, Options, flatten, flat Map

Word count, IO operations,file access, flatMap

Spark Data Handling 

RDD’s Transformation and Actions

Jobs, Stages and Tasks

Partitions and Shuffling

Job Performance

Spark context /Spark session 

Storage levels and  entity in details

Lazy evaluation 

Using Function Literals

Anonymous Functions

Define a function which accepts another function

Joins & Broadcasting

User Defined Functions

Caching and persist storage levels

Use of the Spark UI to analyze behavior and performance

In-depth discussion of Spark SQL and DataFrames, including:

The DataFrames/Datasets API

Spark SQL

Data Aggregation

Column Operations

The Functions API: date/time, string manipulation, aggregation

How various data sources are partitioned

How Spark handles data reads and writes

Default and Custom partitioning

Applying Transformations and Actions on

File formats and compressions codec

ORC/Parquet/JSON/Avro

Spark Streaming

Architecture of Spark Streaming

Processing Distributed Log Files in Real Time

Discretized streams RDD.

Spark Structured Streaming

Readstream and Writestream with different source and sink

Integration with Kafka

Broker ,producer ,topic ,consumers 

Integration with RDB/Hadoop Ecosystem

Trigger and Windowing

Watermark and lateness

Batch and Realtime operations 

Reliability and Fault Tolerance

Join  optimization

Memory Management 

Case studies

Each topic contains 30 % theory and 70 % hands-on 

Assignment for each topic

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