Apache Spark 2 and 3 using Python 3 (Formerly CCA 175) Course & PDF Guides
$12.00
Price: 12.00 USD | Size: 9.34 GB |
BRAND: Expert TRAINING | ENGLISH | INSTANT DOWNLOAD
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
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