Apache Spark and Scala for Cassandra Professionals

Apache Spark and Scala for Cassandra Professionals, available at $64.99, has an average rating of 4.4, with 30 lectures, based on 33 reviews, and has 351 subscribers.

You will learn about Scala Apache Spark Spark Cassandra Connector This course is ideal for individuals who are Apache Cassandra Professionals who want to learn Apache Spark It is particularly useful for Apache Cassandra Professionals who want to learn Apache Spark.

Enroll now: Apache Spark and Scala for Cassandra Professionals

Summary

Title: Apache Spark and Scala for Cassandra Professionals

Price: $64.99

Average Rating: 4.4

Number of Lectures: 30

Number of Published Lectures: 30

Number of Curriculum Items: 30

Number of Published Curriculum Objects: 30

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

Scala
Apache Spark
Spark Cassandra Connector

Who Should Attend

Apache Cassandra Professionals who want to learn Apache Spark

Target Audiences

Apache Cassandra Professionals who want to learn Apache Spark

*** This training course was recorded between December 2020 & January 2021. All the content is still valid. ***

Apache Cassandra is the most powerful NoSQL database.

Apache Spark is the best analytics engine for large-scale data processing.

It is very challenging for Apache Cassandra Database Administrators to learn a new language and a new analytics engine.

In this course we will start with the basics of Scala Language.

We will download and install Scala on CentOS Linux server.

We will understand what is Scala REPL (Read-Evaluate-Print-Loop).

We will discuss about Scala Variables, Data Types, var and val.

We will understand why these new technologies are using Immutable objects.

We will learn how to use for loop and foreach along with print and println.

We will understand how to use Apache Spark for various use cases along with Apache Cassandra use cases.

We will learn how to download and configure Apache Spark to build a cluster.

We will understand the configuration files for Spark Master and Spark Workers.

We will discuss about Spark Driver, Worker, Executor and Tasks.

We will learn how to start and stop Spark Master and Spark Workers.

We will use spark-shell to read data from CSV formatted files.

We will use spark-shell for operations such as count, take, foreach, print & println.

We will learn about filter, contains and map and reduce.

We will use a very large million row file for advanced analytics.

We will learn the differences between APIs such as RDD, DataFrame and Dataset APIs.

We will learn how to use Spark SQL with DataFrame APIs.

We will understand how to use Spark Cassandra Connector to use Spark Analytics on data stored in Cassandra.

We will learn how to configure connectivity between Spark and Cassandra for various APIs such as RDD / DataFrame / Dataset APIs.

We will use RDD APIs in spark-shell to read data from Cassandra tables and write data back to Cassandra tables.

We will learn how to use Spark to perform the complicated tasks which are not possible in Cassandra.

We will learn how to use Spark SQL with DataFrames API and Datasets API to read and write data from Cassandra.

We will use Spark SQL to solve several complicated use cases which are not possible in Cassandra.

This is a special of one of its kind training course for “Apache Spark and Scala for Cassandra DBAs”.

NOTE : This training was recorded as a conversation between 2 people. Instructor and the Student. During this course you will hear both of them speaking. I guarantee that you will not find this kind of course content anywhere else on whole internet. So please try this training course.

Course Curriculum

Chapter 1: Scala Language

Lecture 1: Introduction to Scala Language

Lecture 2: Download and Install Scala on CentOS Linux

Lecture 3: Scala REPL

Lecture 4: Scala Variables & Data Types

Lecture 5: var vs. val : Why Immutables ?

Lecture 6: for loop & foreach

Chapter 2: Start With Apache Spark

Lecture 1: Introduction to Apache Spark

Lecture 2: Apache Spark & Apache Cassandra

Lecture 3: Download and Install Apache Spark

Lecture 4: Configure Spark Master and Spark Workers

Lecture 5: Start Spark Master and Spark Workers

Chapter 3: Basic Operations Using Spark Shell

Lecture 1: Introduction to spark-shell

Lecture 2: Read Movies CSV File For Basic Operations

Lecture 3: filter-contains & map-reduce

Lecture 4: Find Movies Longer Than 100 Minutes

Chapter 4: Operations With Million Rows

Lecture 1: CSV File With Million Rows

Lecture 2: RDD Of Array Of Strings

Lecture 3: filter For Range Of Numbers

Lecture 4: Transformation / Action / RDD / DAG / DataFrame & Dataset APIs

Lecture 5: Class + RDD -> DataFrame & Spark SQL

Chapter 5: Spark + Cassandra = The Deadly Combo

Lecture 1: Spark Cassandra Connector

Lecture 2: Configure The Connector

Lecture 3: spark-shell RDD API + Cassandra

Lecture 4: RDD Copy Complicated Cassandra Table

Lecture 5: Spark SQL + DataFrames API + Cassandra

Lecture 6: Spark SQL + Datasets API + Cassandra

Lecture 7: Copy Table Using Spark SQL + Cassandra

Chapter 6: Conclusion

Lecture 1: The (Temporary) End

Chapter 7: Bonus Stuff

Lecture 1: Instructor

Lecture 2: November 2021 Update

Instructors

Sarma Pydipally
Database Administator

Rating Distribution

1 stars: 1 votes
2 stars: 0 votes
3 stars: 1 votes
4 stars: 4 votes
5 stars: 27 votes

Frequently Asked Questions

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