TGx:MANNING | Spark in Motion [FCO] TGx Exclusive

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MANNING | Spark in Motion [FCO] TGx Exclusive

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English

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File	Size
01 - What is Spark.mp4	28.44 MB
02 - Exploring the Spark ecosystem 1.mp4	47.19 MB
03 - Functional programming using the Spark shell.mp4	90.87 MB
04 - Rich programming using notebooks.mp4	59.88 MB
05 - Using RDDs part 1 - Features and creating loading.mp4	55.07 MB
06 - Using RDDs part 2 - Transformations and actions.mp4	74.16 MB
07 - Spark application architecture.mp4	64.07 MB
08 - Summary.mp4	20.22 MB
09 - Deploying Spark on a cluster.mp4	52.09 MB
10 - Scaling Spark applications.mp4	102.61 MB
11 - Making iterative applications fly.mp4	62.22 MB
12 - Accessing common application state.mp4	51.82 MB
13 - Configuring the Spark runtime.mp4	82.83 MB
14 - Monitoring and metrics with the Spark Web UI.mp4	108.52 MB
15 - Summary.mp4	15.21 MB
16 - Creating and using datasets.mp4	43.59 MB
17 - Structured processing using Spark SQL.mp4	64.02 MB
18 - Bringing SQL to Spark with the DataFrame API.mp4	91.39 MB
19 - Working with Spark SQL data sources.mp4	49.42 MB
20 - Interactive queries with the Spark SQL server.mp4	49.36 MB
21 - Summary.mp4	11.76 MB
22 - What is a streaming application.mp4	41.30 MB
23 - Understanding Spark Streaming.mp4	56.90 MB
24 - Programming Spark Streaming.mp4	64.75 MB
25 - Spark Streaming data sources.mp4	52.50 MB
26 - What is Structured Streaming.mp4	78.99 MB
27 - Building continuous applications using Structured Streaming.mp4	93.72 MB
28 - Summary and course wrap-up.mp4	16.72 MB
29 - Installing Spark.mp4	52.25 MB
30 - Installing Jupyter Notebook.mp4	81.66 MB
Discuss.FTUForum.com.html	31.89 kB
FreeCoursesOnline.Me.html	108.30 kB
FTUForum.com.html	100.44 kB
How you can help Team-FTU.txt	235.00 B
Source_codes.zip	4.51 MB
Torrent Downloaded From GloDls.to.txt	84.00 B
[TGx]Downloaded from torrentgalaxy.org.txt	524.00 B

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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