DATALOG
New York City, New York, United States | SELF
Music
Press
Challenged organs resembling failed warning sirens and distant foot stomps pounding a beat into the dense earth shake and whirl the dust that has yet to settle. Charred remains crunch underfoot, and a pained jazzy melody plays from unattended speakers. This is just Monday, but things do get brighter as The Murray Episodes continues through the rest of the free week. Check the Datalog to see what led us to this point. - Culture System
"Lake In My Head" was played on WFMU by DJ Mike Waer of culturesystem.org on 7/17/11 - WFMU
So maybe he’s not a band per se, but Brooklyn-based producer DATALOG and his new EP, Threads, is worth an alert. Threads is a hazy, warm blend of electronica, jazz, and world beats, all wrapped up in one kicked-back, noir-tinged package. Fans of everything from Flying Lotus to Massive Attack take note. Songs like “Sink Babies” offer subtle samples and thumps aplenty; the title track is a melancholy acid trip that demands ass shaking. Not only are the songs refreshingly chill, but his face is a welcome addition to the au courant world of knob-turners. SHWING! - Bust.com, Bust Magazine
Discography
Threads (EP) - 2011
The Murray Episodes (EP) - 2011
Photos
Bio
Brooklyn-based producer Conor Heffernan, aka DATALOG, conceived his debut EP, Threads, after a hiatus from a five-year career in pop music. Playing keyboards for a band on Doghouse Records, he worked with producers such as Mark Platti (David Bowie, the Cure) and Jason Hill (Louis XIV). After supporting established acts the All-American Rejects and Shiny Toy Guns in worldwide tours, he departed from this venture in 2009 to start the solo project DATALOG. Combining tight melodies, swirling soundscapes, and infectious beats, Threads is a sonic journey into the genres of jazz, electro, and World. Heffernan’s formal jazz training gives a nod to groundbreaking artists like Four Tet and Portishead; his penchant for tripped-out grooves makes this music fit for the club and living room alike.
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