Big Data with Apache Spark and AWS

Big Data with Apache Spark and AWS, available at $59.99, has an average rating of 4, with 21 lectures, based on 289 reviews, and has 2454 subscribers.

You will learn about Start a project using Apache Spark Understand how Spark SQL lets you work with structured data Install and run Apache Spark on a desktop computer or on a cluster Gain hands-on experience setting up Spark clusters on AWS cloud services platform Understand how to control a cloud instance on AWS using SSH or PuTTY Understand how to access data from the CSV, Json, HDFS, and S3 formats This course is ideal for individuals who are Software Engineer or Application developers or Data scientists or Big data architects It is particularly useful for Software Engineer or Application developers or Data scientists or Big data architects.

Enroll now: Big Data with Apache Spark and AWS

Summary

Title: Big Data with Apache Spark and AWS

Price: $59.99

Average Rating: 4

Number of Lectures: 21

Number of Published Lectures: 21

Number of Curriculum Items: 21

Number of Published Curriculum Objects: 21

Original Price: $189.99

Quality Status: approved

Status: Live

What You Will Learn

Start a project using Apache Spark
Understand how Spark SQL lets you work with structured data
Install and run Apache Spark on a desktop computer or on a cluster
Gain hands-on experience setting up Spark clusters on AWS cloud services platform
Understand how to control a cloud instance on AWS using SSH or PuTTY
Understand how to access data from the CSV, Json, HDFS, and S3 formats

Who Should Attend

Software Engineer
Application developers
Data scientists
Big data architects

Target Audiences

Software Engineer
Application developers
Data scientists
Big data architects

Introducing the Ultimate Course: Big Data with Apache Spark and AWS

Are you ready to dive into the world of big data and harness its power? With an ever-growing abundance of data at our fingertips, the need for effective storage and analysis is paramount. Our cutting-edge course on Big Data with Apache Spark and AWS offers you the opportunity to become a skilled data specialist, adept at handling enormous data sets with ease and precision.

Discover the power of AWS, the leading web service for processing and storing colossal amounts of data, and one of the largest Hadoop operators worldwide. In this immersive course, you will learn how to create high-performance Spark clusters on the Amazon Web Services (AWS) platform. As cloud-based solutions for distributed computing become increasingly cost-effective, the ability to rapidly analyze vast amounts of data for deep insights is more achievable than ever.

Embark on a journey through AWS, where you’ll quickly set up your own account and delve into the array of services at your disposal. Master the art of cluster-based data modeling using advanced techniques such as Gaussian generalized linear models, binomial generalized linear models, Naive Bayes, and K-means modeling. Access and navigate data from S3 Spark DataFrames, as well as other formats like CSV, JSON, and HDFS.

Become proficient in cluster-based data manipulation using powerful tools like SparkR and SparkSQL, enabling you to manage and analyze your data with exceptional accuracy and efficiency.

Upon completing this comprehensive course, you will possess an in-depth understanding of Apache Spark and AWS, empowering you to confidently tackle full-stack data analytics with the belief that no amount of data is insurmountable.

Don’t miss this chance to elevate your data analytics skills to new heights! Enroll now and unlock your potential as a big data expert.

Course Curriculum

Chapter 1: Welcome

Lecture 1: Introduction

Lecture 2: Mastering Big Data: The Advantages of Integrating Apache Spark and AWS

Chapter 2: Creating Clusters

Lecture 1: Creating an AWS Instance

Lecture 2: Connecting to AWS Instance with SSH

Lecture 3: Connecting to AWS Instance with PuTTY

Lecture 4: Spark Clusters

Lecture 5: Spark Clusters in depth

Lecture 6: Learn How to Terminate Your Clusters

Chapter 3: Data and Modeling Basics

Lecture 1: Data Basics

Lecture 2: Modeling with Gaussian Generalized Linear Models

Lecture 3: Binomial Generalized Linear Models

Lecture 4: Naive Bayes and K-Means Modeling

Chapter 4: Data Sources and Data Manipulation

Lecture 1: Bigger Data and AWS S3

Lecture 2: Accessing S3 Spark Dataframes

Lecture 3: SparkR Dataframe Operations

Lecture 4: Intro to SparkSQL

Chapter 5: Various

Lecture 1: Intro to HDFS

Lecture 2: Databricks Community Edition

Chapter 6: Course Summary

Lecture 1: Summary

Lecture 2: Source Code

Lecture 3: Congratulations!

Instructors

Skillbox, LLC
High Quality Courses from Expert Instructors

Rating Distribution

1 stars: 6 votes
2 stars: 8 votes
3 stars: 59 votes
4 stars: 86 votes
5 stars: 130 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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