Udemy - Working with Apache Spark

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Working with Apache Spark [TutsNode.com] - Working with Apache Spark 8. Advanced Features with Spark
  • 2. Practice 7-1 Performing various Spark Operations using Pyspark.mp4 (123.9 MB)
  • 2. Practice 7-1 Performing various Spark Operations using Pyspark.srt (10.2 KB)
  • 4.2 Labfile_Practice 7-3.zip (1.0 KB)
  • 1. Lesson 07 Advanced Features with Spark.srt (11.8 KB)
  • 3. Practice 7-2 Working with GraphX.srt (4.4 KB)
  • 4. Practice 7-3 Implementing Linear Regression using MLlib.srt (3.4 KB)
  • 1. Lesson 07 Advanced Features with Spark.mp4 (63.2 MB)
  • 5. Quiz on Advanced Features with Spark.html (0.1 KB)
  • 2.2 Labfile_Practice 7-1.zip (2.4 KB)
  • 3.2 Labfile_Practice 7-2.zip (1.9 KB)
  • 3.1 Practice for Lesson 7-2.zip (214.7 KB)
  • 3. Practice 7-2 Working with GraphX.mp4 (20.1 MB)
  • 4.1 Practice for Lesson 7-3.zip (267.3 KB)
  • 4. Practice 7-3 Implementing Linear Regression using MLlib.mp4 (18.4 MB)
  • 2.1 Practice for Lesson 7-1.zip (1.3 MB)
5. Working with Spark SQL
  • 3.1 Practice for Lesson 4-2.zip (70.9 KB)
  • 1. Lesson 04 Working with Spark SQL.srt (12.0 KB)
  • 4. Practice 4-3 Using Window Function in Spark SQL.srt (5.6 KB)
  • 2.1 Labfile_Practice4-1.zip (1.9 KB)
  • 2. Practice 4-1 DataFrames in Spark SQL.srt (4.8 KB)
  • 3. Practice 4-2 DataSets in Spark SQL.srt (1.7 KB)
  • 4.2 Labfile_Practice4-3.zip (0.5 KB)
  • 5.2 Labfile_Practice4-4.zip (0.2 KB)
  • 6. Quiz on Working with Spark SQL.html (0.1 KB)
  • 1. Lesson 04 Working with Spark SQL.mp4 (61.8 MB)
  • 5. Practice 4-4 Creating DataFrame and Dataset in Standalone Spark Environment.srt (2.0 KB)
  • 4.1 Practice for Lesson 4-3.zip (312.4 KB)
  • 4. Practice 4-3 Using Window Function in Spark SQL.mp4 (21.3 MB)
  • 2.2 Practice for Lesson 4-1.zip (244.0 KB)
  • 5.1 Practice for Lesson 4-4.zip (126.6 KB)
  • 2. Practice 4-1 DataFrames in Spark SQL.mp4 (14.4 MB)
  • 5. Practice 4-4 Creating DataFrame and Dataset in Standalone Spark Environment.mp4 (7.6 MB)
  • 3. Practice 4-2 DataSets in Spark SQL.mp4 (2.4 MB)
6. Working with Spark Streaming
  • 1. Lesson 05 Working with Spark Streaming.srt (14.7 KB)
  • 1. Lesson 05 Working with Spark Streaming.mp4 (91.6 MB)
  • 2. Practice 5-1 Installing and Running Apache Kafka in a Standalone Environment.srt (7.8 KB)
  • 3. Practice 5-2 Spark Streaming with Apache Kafka.srt (7.3 KB)
  • 2.1 Practice for Lesson 5-1.zip (294.2 KB)
  • 4. Quiz on Working with Spark Streaming.html (0.1 KB)
  • 3.2 Labfile_Practice5-2.zip (2.0 KB)
  • 3. Practice 5-2 Spark Streaming with Apache Kafka.mp4 (44.7 MB)
  • 2. Practice 5-1 Installing and Running Apache Kafka in a Standalone Environment.mp4 (33.6 MB)
  • 3.1 Practice for Lesson 5-2.zip (993.5 KB)
4. Working with Spark RDD
  • 4. Practice 3-3 Using Cache and Persist Methods in Spark.srt (2.8 KB)
  • 4.1 Practice for Lesson 3-3.zip (104.5 KB)
  • 1. Lesson 03 Working with Spark RDD.mp4 (74.4 MB)
  • 1. Lesson 03 Working with Spark RDD.srt (12.5 KB)
  • 2.1 Labfile_Practice3-1.zip (1.9 KB)
  • 2. Practice 3-1 Working with RDD Transformations and Actions.srt (7.5 KB)
  • 3. Practice 3-2 Working with Paired RDDs.srt (2.6 KB)
  • 3.2 Labfile_Practice3-2.zip (0.6 KB)
  • 4.2 Labfile_Practice3-3.zip (0.2 KB)
  • 5. Quiz on Working with Spark RDD.html (0.1 KB)
  • 2.2 Practice for Lesson 3-1.zip (315.7 KB)
  • 3.1 Practice for Lesson 3-2.zip (168.4 KB)
  • 2. Practice 3-1 Working with RDD Transformations and Actions.mp4 (39.9 MB)
  • 3. Practice 3-2 Working with Paired RDDs.mp4 (14.2 MB)
  • 4. Practice 3-3 Using Cache and Persist Methods in Spark.mp4 (10.3 MB)
2. Introduction to Spark
  • 3.2 Labfile_Practice1-2.zip (0.2 KB)
  • 1. Lesson 01 Introduction to Spark.mp4 (104.0 MB)
  • 1. Lesson 01 Introduction to Spark.srt (20.2 KB)
  • 3. Practice 1-2 Create & Run a Project on Standalone Spark Programming Environment.srt (2.1 KB)
  • 4. Quiz on Introduction to Spark.html (0.1 KB)
  • 2. Practice 1-1 Installing and Configuring Standalone Spark Computing Environment.srt (8.3 KB)
  • 2. Practice 1-1 Installing and Configuring Standalone Spark Computing Environment.mp4 (50.8 MB)
  • 3.1 Practice for Lesson 1-2.zip (272.0 KB)
  • 3. Practice 1-2 Create & Run a Project on Standalone Spark Programming Environment.mp4 (8.1 MB)
  • 2.1 Practice for Lesson 1-1.zip (708.8 KB)
7. Using Sparklyr
  • 3.1 Practice for Lesson 6-2.zip (508.7 KB)
  • 2.1 Practice for Lesson 6-1.zip (325.8 KB)
  • 1. Lesson 06 Using Sparklyr.srt (7.0 KB)
  • 3. Practice 6-2 Working with Spark DataFrames in R.srt (4.2 KB)
  • 3.2 Labfile_Practice6-2.zip (0.4 KB)
  • 4. Quiz on Using Sparklyr.html (0.1 KB)
  • 2. Practice 6-1 Configuring R Programming Environment.srt (3.3 KB)
  • 1. Lesson 06 Using Sparklyr.mp4 (36.9 MB)
  • 3. Practice 6-2 Working with Spark DataFrames in R.mp4 (24.0 MB)
  • 2. Practice 6-1 Configuring R Programming Environment.mp4 (17.1 MB)
3. Spark Runtime Context, Executor and Stage
  • 3. Practice 2-2 Exploring the Spark Context in the Cloudera Ecosystem.srt (3.5 KB)
  • 3.1 Labfile_Practice2-2.zip (0.4 KB)
  • 4. Quiz on Spark Runtime Contact, Executor and Stage.html (0.1 KB)
  • 1. Lesson 02 Spark Runtime Context, Executor and Stage.srt (7.4 KB)
  • 2. Practice 2-1 Starting Spark on Cloudera Hadoop Ecosystem.srt (4.4 KB)
  • 3.2 Practice for Lesson 2-2.zip (146.5 KB)
  • 1. Lesson 02 Spark Runtime Context, Executor and Stage.mp4 (34.9 MB)
  • 2.1 Practice for Lesson 2-1.zip (305.6 KB)
  • 2. Practice 2-1 Starting Spark on Cloudera Hadoop Ecosystem.mp4 (16.8 MB)
  • 3. Practice 2-2 Exploring the Spark Context in the Cloudera Ecosystem.mp4 (7.9 MB)
1. Introduction
  • 1. Introduction.srt (6.4 KB)
  • 1. Introduction.mp4 (33.2 MB)
9. Executing and Scheduling the Spark job
  • 2.2 Labfile_practice 8-1.zip (0.4 KB)
  • 3. Quiz on Executing and Scheduling the Spark job.html (0.1 KB)
  • 2. Practice 8-1 Running Spark Python Application

Description


Description

In this Course, you will Learn in detail about Apache Spark and its Features. This is course deep dives into Features of Apache Spark, RDDs, Transformation, Actions, Lazy Execution, Data Frames, DataSets, Spark SQL, Spark Streaming, PySpark, Sparklyr and Spark Jobs.

You will explore creating Spark RDD and performing various transformation operations on RDDs along with actions. This Course also illustrates the difference between RDD, DataFrame and DataSet with examples. You will also explore features of Spark SQL and execute database queries using various contexts.

In this course, you will also explore Spark Streaming along with Kafka. The Spark Streaming examples includes producing and consuming messages on a Kafka Topic. Spark program is basically coded using Scala in this course, but PySpark is also discussed, programming examples using PySpark is also included.

Usage of Sparklyr package in R Programming is included in the Course. Finally, the course includes how to schedule and execute Spark Jobs.
Who this course is for:

Data Scientists / Data Engineers
Big Data Developers
Big Data Engineers
Big Data Architects
Any technical personnel who are interested in learning and Exploring the Features of Apache Spark

Requirements

Working Knowledge on Cloudera Hadoop Stack
Basic Programming Knowledge
Basic Linux Commands

Last Updated 9/2020



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Udemy - Working with Apache Spark

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Download torrent
1008.2 MB
seeders:15
leechers:7
Udemy - Working with Apache Spark

Torrent hash: 501C5B8A799C7CCAD479F1D48479F04E479449B0