[MANNING] Spark in Motion [FCO]

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[FreeCoursesOnline.Me] [MANNING] Spark in Motion [FCO]
  • 01 - What is Spark.mp4 (28.4 MB)
  • 02 - Exploring the Spark ecosystem 1.mp4 (47.2 MB)
  • 03 - Functional programming using the Spark shell.mp4 (90.9 MB)
  • 04 - Rich programming using notebooks.mp4 (59.9 MB)
  • 05 - Using RDDs part 1 - Features and creating loading.mp4 (55.1 MB)
  • 06 - Using RDDs part 2 - Transformations and actions.mp4 (74.2 MB)
  • 07 - Spark application architecture.mp4 (64.1 MB)
  • 08 - Summary.mp4 (20.2 MB)
  • 09 - Deploying Spark on a cluster.mp4 (52.1 MB)
  • 10 - Scaling Spark applications.mp4 (102.6 MB)
  • 11 - Making iterative applications fly.mp4 (62.2 MB)
  • 12 - Accessing common application state.mp4 (51.8 MB)
  • 13 - Configuring the Spark runtime.mp4 (82.8 MB)
  • 14 - Monitoring and metrics with the Spark Web UI.mp4 (108.5 MB)
  • 15 - Summary.mp4 (15.2 MB)
  • 16 - Creating and using datasets.mp4 (43.6 MB)
  • 17 - Structured processing using Spark SQL.mp4 (64.0 MB)
  • 18 - Bringing SQL to Spark with the DataFrame API.mp4 (91.4 MB)
  • 19 - Working with Spark SQL data sources.mp4 (49.4 MB)
  • 20 - Interactive queries with the Spark SQL server.mp4 (49.4 MB)
  • 21 - Summary.mp4 (11.8 MB)
  • 22 - What is a streaming application.mp4 (41.3 MB)
  • 23 - Understanding Spark Streaming.mp4 (56.9 MB)
  • 24 - Programming Spark Streaming.mp4 (64.8 MB)
  • 25 - Spark Streaming data sources.mp4 (52.5 MB)
  • 26 - What is Structured Streaming.mp4 (79.0 MB)
  • 27 - Building continuous applications using Structured Streaming.mp4 (93.7 MB)
  • 28 - Summary and course wrap-up.mp4 (16.7 MB)
  • 29 - Installing Spark.mp4 (52.2 MB)
  • 30 - Installing Jupyter Notebook.mp4 (81.7 MB)
  • Discuss.FTUForum.com.html (31.9 KB)
  • FreeCoursesOnline.Me.html (108.3 KB)
  • FTUForum.com.html (100.4 KB)
  • How you can help Team-FTU.txt (0.2 KB)
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Description



Author : Jason Kolter
Publisher : Manning
Course Duration : 2h 37m
Language : English
Exercises : 44
Torrent Contains : 37 Files
Course Source : https://www.manning.com/livevideo/spark-in-motion

Aabout the video

See it. Do it. Learn it! Spark in Motion teaches you to use Spark for big data analytics through high-quality video-based lessons and built-in exercises, so you can put what you learn into practice.

Spark in Motion teaches you how to use Spark for batch and streaming data analytics. In nearly 3 hours of hands-on video lessons, you'll get up and running with Spark, starting with the basic architecture of a Spark application. You'll explore data partitioning and accessing common application state, and then you'll deep-dive into using Spark SQL and dataframes for structured analytics. Finally, you'll use Spark Streaming to handle and process real-time data flowing into your application.

About the subject

When you're doing analytics on big data systems, it can be a challenge to efficiently query, stream, filter, and consolidate data sharded across a cluster. Built especially for efficiently operating over large distributed datasets, the Spark data processing engine takes some of the weight off your shoulders. Spark features an easy-to-use interface, near-limitless upgrade potential, and performance that will knock your socks off. Spark simplifies your data infrastructure so you can focus on creating top-notch analytics.

Prerequisites

Designed for a software engineer or architect, data scientist, or data analyst interested in getting started with Spark. No prior experience is needed.

Wwhat you will learn

• Exploring the Spark Ecosystem
• Deploying Spark on a cluster
• Analytics with SparkSQL
• Real-time applications with Spark Streaming

Aabout the instructor

Jason Kolter - is an instructor for the University of Washington certificate program in Big Data Technologies. Additionally he has worked in a wide range of technology companies, gaining extensive experience leading teams building production large-scale distributed analytics systems.

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1.7 GB
seeders:12
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[MANNING] Spark in Motion [FCO]


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