Spark ME

Apache Spark Essentials  eBooks & eLearning

Posted by naag at April 29, 2017
Apache Spark Essentials

Apache Spark Essentials
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 941 MB
Genre: eLearning | Language: English

REST APIs with Java, Spark Framework, MongoDB & GridFS  eBooks & eLearning

Posted by naag at April 17, 2017
REST APIs with Java, Spark Framework, MongoDB & GridFS

REST APIs with Java, Spark Framework, MongoDB & GridFS
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 5 Hours | 819 MB
Genre: eLearning | Language: English

Learn to create Web Services & Upload and Stream Video through REST

Traffic - The Low Spark Of High Heeled Boys (1971)  Music

Posted by v3122 at April 12, 2017
Traffic - The Low Spark Of High Heeled Boys (1971)

Traffic - The Low Spark Of High Heeled Boys (1971)
EAC | Flac(Image) + Cue + Log & MP3 CBR 320Kbps
1994 | Mobile Fidelity Sound Lab, UDCD 609 | ~ 230 or 98 Mb | Scans Included
Psychedelic Rock, Prog Rock, Classic Rock

The Low Spark of High Heeled Boys marked the commercial and artistic apex of the second coming of Traffic, which had commenced in 1970 with John Barleycorn Must Die. The trio that made that album had been augmented by three others (Ric Grech, Jim Gordon, and "Reebop" Kwaku Baah) in the interim, though apparently the Low Spark sessions featured varying combinations of these musicians, plus some guests…
Learning Path: Get Started with Natural Language Processing Using Python, Spark, and Scala

Learning Path: Get Started with Natural Language Processing Using Python, Spark, and Scala
HDRips | MP4/AVC, ~461 kb/s | 1280x720 | Duration: 05:48:48 | English: AAC, 128 kb/s (2 ch) | 4,21 GB
Genre: Development / Programming

Whether you’re a programmer with little to no knowledge of Python, or an experienced data scientist or engineer, this Learning Path will walk you through natural language processing, using both Python and Scala, and show you how to implement a range of popular tools including Spark, scikit-learn, SpaCy, NLTK, and gensim for text mining.

Top 50 Apache Spark Interview Questions & Answers  eBooks & eLearning

Posted by naag at March 20, 2017
Top 50 Apache Spark Interview Questions & Answers

Top 50 Apache Spark Interview Questions & Answers
2017 | English | ISBN-10: 152087054X | 47 pages | PDF + EPUB (conv) | 0.4 Mb

Hiromi Uehara - Spark (2016) [Official Digital Download 24/96]  Vinyl & HR

Posted by HDV at Feb. 3, 2017
Hiromi Uehara - Spark (2016) [Official Digital Download 24/96]

Hiromi - Spark (2016)
FLAC (tracks) 24-bit/96 kHz | Time - 72:19 minutes | 1,65 GB
Studio Master, Official Digital Download | Artwork: Digital booklet

All great human passions whether romantic, creative, inventive, or transformative begin with a single spark. On her tenth album as a leader, Japanese pianist/composer Hiromi traces the path of the flame ignited by that spark as it consumes and inspires. Over the course of nine expressively charged songs, the listener is carried away on an impassioned spiritual journey that might tell the story of a personal discovery, a love affair, or the creation of the music itself. Spark showcases the always thrilling sound of Hiromi's Trio Project with her most narratively sweeping and emotionally overflowing set of music to date. The pianist finds her own spark in her interaction with her triomates of the last five years, contrabass guitarist Anthony Jackson (Paul Simon, Steely Dan, Chick Corea, The O'Jays) and drummer Simon Phillips (The Who, David Gilmour, Judas Priest, Toto, Jack Bruce).

Learning Path: Getting Up and Running with Apache Spark  eBooks & eLearning

Posted by FenixN at Jan. 24, 2017
Learning Path: Getting Up and Running with Apache Spark

Learning Path: Getting Up and Running with Apache Spark
HDRips | MP4/AVC, ~588 kb/s | 1920x1080 / 1280x720 | Duration: 11:29:27 | English: AAC, 128 kb/s (2 ch)
Size: 5.94 GB | Genre: Development / Programming

Spark is a powerful distributed computing engine for big data, and has emerged as a leading tool in the industry with its focus on improving efficiency and usability. Tutorials and sessions in this Learning Path will teach you about Spark 2.0 libraries, tips and tricks for deploying Spark in production and at scale, and how to get up and running with Spark to write your own Spark applications.

Building Pipelines for Natural Language Understanding with Spark  eBooks & eLearning

Posted by FenixN at Jan. 8, 2017
Building Pipelines for Natural Language Understanding with Spark

Building Pipelines for Natural Language Understanding with Spark
HDRips | MP4/AVC, ~28010 kb/s | 1920x1080 | Duration: 01:32:57 | English: AAC, 128 kb/s (2 ch) | 1.74 GB
Genre: Development / Programming

The course is designed for engineers and data scientists who have some familiarity with Scala, Apache Spark, and machine learning who need to process large natural language text in a distributed fashion.We will use sample of posts from the subreddit /r/WritingPrompts, which contains short stories and comments about the short stories.The course has four parts1. Building a natural language processing and entity extraction pipeline on Scala & Spark2.

Mastering Spark for Structured Streaming  eBooks & eLearning

Posted by FenixN at Dec. 13, 2016
Mastering Spark for Structured Streaming

Mastering Spark for Structured Streaming
HDRips | MP4/AVC, ~1941 kb/s | 1920x1080 | Duration: 01:48:00 | English: AAC, 128 kb/s (2 ch) | 1.64 GB
Genre: Development / Programming

Spark is one of today’s most popular distributed computation engines for processing and analyzing big data. This course provides data engineers, data scientist and data analysts interested in exploring the technology of data streaming with practical experience in using Spark. You’ll learn about the Spark Structured Streaming API, the powerful Catalyst query optimizer, the Tungsten execution engine, and more in this hands-on course where you’ll build small several applications that leverage all the aspects of Spark 2.0. While not a requirement, the course works best for those with some Scala experience.

Using R for Big Data with Spark  eBooks & eLearning

Posted by FenixN at Oct. 27, 2016
Using R for Big Data with Spark

Using R for Big Data with Spark
HDRips | MP4/AVC, ~592 kb/s | 1280x720 | Duration: 02:20:02 | English: AAC, 128 kb/s (2 ch) | 731 MB
Genre: Development / Programming

Data analysts familiar with R will learn to leverage the power of Spark, distributed computing and cloud storage in this course that shows you how to use your R skills in a big data environment.