|
[ FreeCourseWeb.com ] Cloud Hadoop: Scaling Apache Spark
Download More Latest Courses Visit -->> https://FreeCourseWeb.com
MP4 | Video: AVC, 1280x720 30 fps | Audio: AAC, 48 KHz, 2 Ch | Duration: 3h 13m
Skill Level: Beginner | Genre: eLearning | Language: English + Subtitles | Size: 477 MB
Apache Hadoop and Spark make it possible to generate genuine business insights from big data. The Amazon cloud is natural home for this powerful toolset, providing a variety of services for running large-scale data-processing workflows. Learn to implement your own Apache Hadoop and Spark workflows on AWS in this course with big data architect Lynn Langit. Explore deployment options for production-scaled jobs using virtual machines with EC2, managed Spark clusters with EMR, or containers with EKS. Learn how to configure and manage Hadoop clusters and Spark jobs with Databricks, and use Python or the programming language of your choice to import data and execute jobs. Plus, learn how to use Spark libraries for machine learning, genomics, and streaming. Each lesson helps you understand which deployment option is best for your workload.
Topics include:
File systems for Hadoop and Spark
Working with Databricks
Loading data into tables
Setting up Hadoop and Spark clusters on the cloud
Running Spark jobs
Importing and exporting Python notebooks
Executing Spark jobs in Databricks using Python and Scala
Importing data into Spark clusters
Coding and executing Spark transformations and actions
Data caching
Spark libraries: Spark SQL, SparkR, Spark ML, and more
Spark streaming
Scaling Spark with AWS and GCP
Use Winrar to Extract. And use a shorter path when extracting, such as C: drive
ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)
Download More Latest Courses Visit -->> https://FreeCourseWeb.com
Get Latest Apps Tips and Tricks -->> https://AppWikia.com
We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...
|
|
udp://tracker.coppersurfer.tk:6969/announce udp://tracker.torrent.eu.org:451/announce udp://thetracker.org:80/announce udp://retracker.lanta-net.ru:2710/announce udp://denis.stalker.upeer.me:6969/announce udp://explodie.org:6969/announce udp://tracker.filemail.com:6969/announce udp://tracker.iamhansen.xyz:2000/announce udp://retracker.netbynet.ru:2710/announce udp://tracker.nyaa.uk:6969/announce udp://torrentclub.tech:6969/announce udp://tracker.supertracker.net:1337/announce udp://open.demonii.si:1337/announce udp://tracker.moeking.me:6969/announce udp://tracker.filepit.to:6969/announce |
