Big-Data with PySpark, Spark Streaming, Spark ML and Kafka

BY
Udemy

Master the concepts involved with IoT and Big data using the functionalities of POySpark, Kafka, and Spark streaming.

Mode

Online

Fees

₹ 799

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

Big data organize large datasets gathered from IoT devices, such as traffic conditions and residential efficiency information, into comprehensible datasets that inform businesses on how to optimize their processes. Implied Concepts AI - Authorized Academy & Consultancy designed the Learn Big-Data with PySpark, Spark Streaming, Spark ML and Kafka certification course, which is presented by Udemy for learners who want to master the concepts and strategies associated with big data and IoT.

Learn Big-Data with PySpark, Spark Streaming, Spark ML and Kafka online classes encompass more than 3.5 hours of video-based lessons supported by articles and 15 downloadable resources which focus on teaching learners about IoT and big data using PySpark, Spark streaming, and Kafka. Learn Big-Data-IoT with PySpark, Spark Streaming, and Kafka online training cover topics like big data preprocessing, and data ingestion as well as cluster-based cloud computing with AWS EMR, Azure HDInsight, and GCP DataProc and Spark streaming with IoT data pipelines utilizing Kafka.

The highlights

  • Certificate of completion
  • Self-paced course
  • 4 hours of pre-recorded video content
  • 1 article 
  • 23 downloadable resources

Program offerings

  • Online course
  • Learning resources
  • 30-day money-back guarantee
  • Unlimited access
  • Accessible on mobile devices and tv

Course and certificate fees

Fees information
₹ 799
certificate availability

Yes

certificate providing authority

Udemy

What you will learn

Knowledge of big data Knowledge of aws technology Knowledge of kafka

After completing the Big-Data with PySpark, Spark Streaming, Spark ML and Kafka online certification, learners will gain a better understanding of the fundamentals of Big Data and IoT using PySpark, Kafka, and Spark streaming as well as will acquire the knowledge of the difference between Spark streaming and Spark structured streaming. Learners will explore the functionalities of cluster computing, cloud computing, GCP clusters, AWS, AWS EMR cluster, Azure, and Spark jobs. Learners will also study methodologies involved with big data preprocessing, data ingestion, data action, and data transformation.

The syllabus

Introduction

  • PySpark Course Introduction and Outline
  • Important Notice
  • Why Spark
  • Spark Logical Architecture

PySpark Installation

  • Spark Installation Intro and Outline
  • Anaconda Installation
  • Java Run Time Installation
  • Spark-Hadoop Libraries
  • Environment Variables
  • Final Setup and Permissions

Cloud based Libraries Setup - Azure, AWS, GCP

  • Cloud File Systems Installation - Azure,AWS,GCP - 1
  • Cloud File Systems Installation - Azure,AWS,GCP - 2

PySpark Hands On - First Job

  • First Spark Job
  • Spark Job with Could Systems

Spark Core

  • Spark Context Vs Spark Sessions
  • Spark Data-Frames

PySpark - Transformation and Actions

  • RDD Transformations and Actions - 1
  • RDD Transformations and Actions - 2
  • DataFrames - Transformations and Actions -1
  • DataFrames - Transformations and Actions - 2

PySpark Clusters on Cloud - Azure, AWS, GCP

  • Azure HDInsights Intro
  • Azure HDInsights - 2
  • Cloud Cluster Demo - 1
  • Cloud Cluster Demo - 2 - RDD Operations
  • Cloud Cluster Demo - 3 - DataFrames Operations
  • GCP DataProc Clusters
  • AWS EMR Cluster

BigData Examples

  • BigData Ingestion and Preprocessing
  • PySpark - SQL

Spark Streaming with Kafka IoT Pipeline

  • Spark Streaming Introduction
  • Popular Big Data Streaming Processing Frameworks
  • Spark Streaming Vs Spark Structured Streaming
  • Spark Streaming Hands-on Demo Introduction
  • Spark Streaming Hands-on - Socket Streaming
  • Spark Streaming Hands-on - File Streaming
  • Kafka, Zookeeper, Pyspark Startup Scripts
  • Kafka - PySpark Ex-1
  • Kafka - PySpark Ex-2
  • Kafka - PySpark Ex-3
  • Kafka - PySpark Ex-4
  • Kafka - PySpark Ex-5
  • Spark Streaming - Tumbling and Sliding Window
  • Kafka - PySpark Ex- 6 & 7
  • Spark Stream - WaterMarking & Ex - 8

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