Apache Spark 2 and 3 using Python 3 (Formerly CCA 175) Course & PDF Guides

Description

Price: 12.00 USD | Size: 9.34 GB | 

BRAND: Expert TRAINING | ENGLISH | INSTANT DOWNLOAD

Apache Spark 2 and 3 using Python 3 (Formerly CCA 175) Course & PDF Guides

Modules

01 – Introduction

02 – Setting up Environment using AWS Cloud9

03 – Setting up Environment – Overview of GCP and Provision Ubuntu VM

04 – Setup Hadoop on Single Node Cluster

05 – Setup Hive and Spark on Single Node Cluster

06 – Python Fundamentals

07 – Overview of Hadoop HDFS Commands

08 – Apache Spark 2.x – Data processing – Getting Started

09 – Apache Spark using SQL – Getting Started

10 – Apache Spark using SQL – Basic Transformations using Spark SQL

11 – Apache Spark using SQL – Basic DDL and DML

12 – Apache Spark using SQL – DML and Partitioning

13 – Apache Spark using SQL – Pre-defined Functions

14 – Apache Spark SQL – Windowing Functions

15 – Apache Spark using Python – Data Processing Overview

16 – Apache Spark using Python – Processing Column Data

17 – Apache Spark using Python – Basic Transformations

18 – Apache Spark using Python – Joining Data Sets

19 – Apache Spark using Python – Spark Metastore

20 – Apache Spark – Application Development Life Cycle

21 – Spark Application Execution Life Cycle and Spark UI

22 – Setup SSH Proxy to access Spark Application logs

23 – Deployment Modes of Spark Applications

24 – Passing Application Properties Files and External Dependencies