ddf.io
Distributed DataFrame
http://ddf.io/introduction.html
Introducing Distributed DataFrame (DDF). Let’s face it: Big Data Analytics is too hard! Can it be simpler and easier? The core idea of DDF is drawn from the valuable lessons that we have learned through the experience of adjacent technologies. The ease of app development on RDBMS:. The SQL abstraction has boosted app developer productivity tremendously, hiding away all the complexity and diversity of the database engines underneath. The sophistication of R:. The scale of parallel, distributed computing:.
onstrategies.com
Business Intelligence | OnStrategies Perspectives
http://www.onstrategies.com/blog/category/data-management/business-intelligence
Category Archives: Business Intelligence. Big Data 2015-2016: A look back and a look ahead. December 9, 2015. 2015 was the year of Spark. If you follow Big Data, you’d have to be living under a rock to have missed the Spark. Brought Spark to our attention a couple years back as the eventual successor to MapReduce, but it was the endorsement of. We also saw continued overlap and convergence. A decade earlier). With the just-announced 3.2 version. So what’s up in 2016? A lot but three trends pop out at us.
ddf.io
Distributed DataFrame
http://ddf.io/quickstart.html
Project supported by Adatao.
timdettmers.com
The Brain vs. Deep Learning vs. Singularity
http://timdettmers.com/2015/07/27/brain-vs-deep-learning-singularity
Skip to primary navigation. Skip to primary sidebar. Making deep learning accessible. The Brain vs Deep Learning Part I: Computational Complexity Or Why the Singularity Is Nowhere Near. The part which compares the brains information processing steps to deep learning is self-contained, and readers which are not interested in predictions for a technological singularity may skip to this part. Part I: Evaluating current predictions of a technological singularity. There were a lot of headlines recently about ...
osusumeapps.net
TOP of ベンチャーキャピタルAndreessen Horowitzの投資実績（2014年8月編）
http://osusumeapps.net/2014/09/02/a16z_201408
TOP of ベンチャーキャピタルAndreessen Horowitzの投資実績 2014年8月編. Data intelligence for all を掲げているのを見ると、データ分析についてリテラシーがあまり高くない複数部署の各担当者がAdatao上でデータドリブンな仕事ができる、というコンセプトだと思われる。 TOP of ベンチャーキャピタル Andreessen Horowitzの投資実績 2014年12月編. TOP of ベンチャーキャピタル Andreessen Horowitzの投資実績 2014年11月編. TOP of ベンチャーキャピタル Andreessen Horowitzの投資実績 2015年4月編. TOP of ベンチャーキャピタル Andreessen Horowitzの投資実績 2016年1月編. TOP of ベンチャーキャピタル Andreessen Horowitzの投資実績 2015年10月編. This entry was posted in VC投資実績. ジェフ ベゾスが個人で投資するスタートアップの陣容から漂う 未来を作っている感 がヤバイ.
cloudera.com
Find a Cloudera partner
http://www.cloudera.com/content/cloudera/en/partners/partners-listing.html
Find a Cloudera partner. Your browser is out of date! Update your browser to view this website correctly. Update my browser now. HDFS, MapReduce, and YARN. The value of support. Predictive and proactive support. Managed Service Provider (MSP). Analytics and Business Intelligence. Partner Category : Data Integration. Partner Type : Software Vendor (ISV). Accenture Analytics, part of Accenture Digital, delivers insight-driven outcomes at scale to help organizations improve their performance. With deep ...
spark-summit.org
2013 | Spark Summit 2013
https://spark-summit.org/2013
Subscribe to the Newsletter. June 30 - July 2, 2014. Spark Summit 2013 brought the Apache Spark community together on December 2-3, 2013 at the Hotel Nikko in San Francisco. It featured production users of Spark, Shark, Spark Streaming and related projects. SUMMIT (DAY 1) AGENDA. SUMMIT (DAY 2) AGENDA. Spark Summit 2013 – Training Day. Spark Summit 2013 – Track B. Spark Summit 2013 – Track A. Spark Summit 2013 – Track A. Try the 2013 Hands-on Exercises. The State of Spark, and Where We’re Going Next.
onstrategies.com
Database | OnStrategies Perspectives
http://www.onstrategies.com/blog/category/data-management/database
Big Data 2015-2016: A look back and a look ahead. December 9, 2015. 2015 was the year of Spark. If you follow Big Data, you’d have to be living under a rock to have missed the Spark. Brought Spark to our attention a couple years back as the eventual successor to MapReduce, but it was the endorsement of. We also saw continued overlap and convergence. It underscored our belief that there will be as many flavors of SQL on Hadoop as there are in the enterprise database market. So what’s up in 2016? 1 Applian...
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