Big Data with Apache Spark and AWS
Big Data with Apache Spark and AWS
Last updated 4/2023
Duration: 2h19m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 930 MB
Genre: eLearning | Language: English
Last updated 4/2023
Duration: 2h19m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 930 MB
Genre: eLearning | Language: English
Learn the latest Big Data technology - Build, and execute real-world Big Data solutions using Spark and AWS.
What you'll 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
Requirements
A PC or Mac
Basic understanding and functional knowledge of Apache Spark and big data
Description
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.
Who this course is for:
Software Engineer
Application developers
Data scientists
Big data architects
More Info