Spark 2016

Steve Hillage - Searching For The Spark (2016) [22CD Super Deluxe Box Set]

Steve Hillage - Searching For The Spark (2016)
EAC | Flac(Image) + Cue + Log & MP3 CBR 320Kbps
22CD | Madfish Records, SMABOX1045 | ~ 8973 or 3521 Mb | Scans(png) -> 1191 Mb
Progressive Rock / Art-Rock | Box Art(png) -> 4197 Mb

Steve Hillage has always had one eye on the future, experimenting with genres such as ambient and dance before many of his peers, and creating extra-terrestrial guitar sounds throughout his career with Uriel, Khan, Gong and System 7…

How to use Adobe Spark (2016)  eBooks & eLearning

Posted by naag at Nov. 3, 2016
How to use Adobe Spark (2016)

How to use Adobe Spark
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours | Lec: 10 | 153MB
Genre: eLearning | Language: English

How to create amazing courses,videos, posts and pages quickly using Adobe Spark

Beginning Data Exploration and Analysis with Apache Spark (2016)  eBooks & eLearning

Posted by naag at Oct. 22, 2016
Beginning Data Exploration and Analysis with Apache Spark (2016)

Beginning Data Exploration and Analysis with Apache Spark
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 244 MB
Genre: eLearning | Language: English

80% of a data scientist's job is data preparation. This course is all about data preparation i.e. cleaning, transforming, summarizing data using Spark.

Drake White - Spark (2016)  Music

Posted by SERTiL at Sept. 7, 2016
Drake White - Spark (2016)

Drake White - Spark
Country | MP3 CBR 320 kbps | 42:05 min | 103 MB + 5% Recovery
Label: Dot Records / Big Machine | Tracks: 12 | Rls.date: 2016

Drake White is an accomplished songwriter with a rock-infused, organic country sound and signature footstomp. He continues to stun crowds with his incredible live show and soulful voice. Backed by his band The Big Fire, Drake has toured with superstars including Willie Nelson, Zac Brown Band, Little Big Town, Eric Church and more. It is no wonder that the Alabama native was featured in Rolling Stone's 10 Country Artists You Need To Know and Billboard's Hot New Country Artists to Watch.

Hiromi - Spark (2016) {Telarc}  Music

Posted by tiburon at April 5, 2016
Hiromi - Spark (2016) {Telarc}

Hiromi - Spark (2016) {Telarc}
EAC 0.95b4 | FLAC tracks level 8 | Cue+Log+M3U | Full Scans 300dpi | 463MB + 5% Recovery
Genre: Fusion

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.

Hiromi - Spark (2016)  Music

Posted by mark70 at Feb. 7, 2016
Hiromi - Spark (2016)

Hiromi - Spark (2016)
MP3 320 kbps CBR | 72:14 min | 168 MB
Genre: Jazz, Fusion | Label: Telarc

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. The pianist finds her own spark in her interaction with her trio mates 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). As with any of her previous releases, Spark will be supported by vigorous touring across North America, Europe and the Far East.
Todd Rundgren - The Complete Bearsville Album Collection (2016) [13 CD Box Set]

Todd Rundgren - The Complete Bearsville Album Collection
Classic Rock, Progressive Rock | FLAC (tracks)+cue, artwork | 10:39:37 | 4.17 GB
Label: Bearsville/Rhino | Tracks: 157 | Rls.date: 2016

Todd Rundgren's classic run of the '70s and early '80s gets the budget box treatment in The Complete Bearsville Albums Collection. These albums – the first being Runt, the last being The Ever Popular Tortured Artist Effect; all studio albums apart from the epic double live set Back to the Bars, all solo, no Utopia LPs – have been reissued many times, most recently in deluxe editions by Edsel.

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.

Spark: Big Data Cluster Computing in Production  eBooks & eLearning

Posted by interes at Dec. 14, 2016
Spark: Big Data Cluster Computing in Production

Spark: Big Data Cluster Computing in Production by Ilya Ganelin and Ema Orhian
English | 2016 | ISBN: 1119254019 | 216 pages | PDF | 5 MB

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.