dbms2.com
Hadoop | DBMS 2 : DataBase Management System Services
http://www.dbms2.com/category/products-and-vendors/hadoop-products-and-vendors
Discussion of Hadoop. Related subjects include:. Open source database management systems. August 21, 2016. Introduction to data Artisans and Flink. Data Artisans and Flink basics start:. Flink is an Apache project sponsored by the Berlin-based company data Artisans. Flink has been viewed in a few different ways, all of which are similar to how Spark is seen. In particular, per co-founder Kostas Tzoumas:. Flink’s original goal was “Hadoop done right”. Databricks, Spark and BDAS. EAI, EII, ETL, ELT, ETLT.
ko.linkedbigdata.com
링크드빅데이터: 12월 2015
http://ko.linkedbigdata.com/2015_12_01_archive.html
2015년 12월 19일 토요일. 2015년 12월 19일 링크. Gb (GOPATH를 사용하지 않는 Go 빌드 도구, gom, godep 등도. Aws-shell (사용성을 개선한 AWS CLI, SAWS. CoreOS VM for OS X (xhyve를 의존). Keep a Changelog (변경이력 작성법). Re:Work (구글의 문화와 경영실무 블로그). 가 만든 가상현실 웹 프레임워크). Readings in Database Systems, 5th Edition". Meetup (TOAST Cloud 기술 블로그). Ruby-korea advent calendar 2015. 관심가는 Safari Books 신간. IOS Programming: The Big Nerd Ranch Guide. Swift Programming: The Big Nerd Ranch Guide. Linux and Solaris Recipes for Oracle DBAs, Second Edition.
jbavari.github.io
Collected Knowledge - Josh Bavari's Ramblings
http://jbavari.github.io/knowledge
Tech babbles on Ruby, Javascript, Rails, Phonegap/Cordova, Grunt, and more. I love reading and learning. I’m putting this page together to keep track of all my knowledge sources. The Design of Every Day Things. Ndash; Donald Norman. Built to Sell – John Warrillow. Psychology / Human Nature. Hooked: How to Build Habit-forming Products. Ndash; Nir Eyal. Man’s Search for Meaning – Viktor Frankl. How to Win Friends and Influence People – Dale Carnegie. A Whole New Mind – Daniel Pink. Ndash; Stefan Wintermeyer.
msadoghi.github.io
Mohammad Sadoghi - CS59000: Topics in Big Data Systems
https://msadoghi.github.io/cs590-spring2017.html
CS59000: Topics in Big Data Systems. CS59000: Topics in Big Data Systems. TueThr 9:00 am - 10:15 am. Lawson Computer Science Building, Room LWSN-B134. Final Project Progress Meeting:. MonWed 1:00 pm - 3:00 pm. Lawson Computer Science Building, Room LWSN-2149C. Each team must attend at least one project meeting per week. Review Please] "Creating beautiful presentations". Ryan Johnson, University of Toronto. Required readings will be based on a selection of research papers listed here. Students are encourg...
en.wikipedia.org
Michael Stonebraker - Wikipedia, the free encyclopedia
https://en.wikipedia.org/wiki/Michael_Stonebraker
From Wikipedia, the free encyclopedia. Michael Stonebraker giving the 2015 Turing lecture. October 11, 1943 (age 72). Milton, New Hampshire. University of California, Berkeley. Massachusetts Institute of Technology. The Reduction of Large Scale Markov Models for Random Chains. Joseph M. Hellerstein. Clifford A. Lynch. IEEE John von Neumann Medal. Born October 11, 1943. Is a computer scientist. Systems on the market today. He is also the founder of a number of database companies, including Ingres. Michael...
db.cs.berkeley.edu
Joseph M. Hellerstein
http://db.cs.berkeley.edu/jmh
Directions to Soda Hall. Joseph M. Hellerstein. Jim Gray Professor of Computer Science. EECS Computer Science Division. Lastname @cs.berkeley.edu. Http:/ www.linkedin.com/in/joehellerstein. Data Science 100 (Sp '17): Principles and Techniques of Data Science. CS186 (Sp '16): Intro to Database Systems. CS294-120 (Fa '15): Progressive Systems. CS286 (Fa '14): Implementation of Database Systems. CS194-017 (Sp '13): Programming the Cloud. More information on current and past research here. Quantitative Data ...
dbms2.com
NoSQL | DBMS 2 : DataBase Management System Services
http://www.dbms2.com/category/database-theory-practice/nosql
Concepts, products, and vendors. August 7, 2016. Notes on DataStax and Cassandra. I visited DataStax on my recent trip. That was a tipping point leading to my recent discussions of NoSQL DBAs. And misplaced fear of vendor lock-in. But of course I also learned some things about DataStax and Cassandra themselves. On the customer side:. DataStax customers still overwhelmingly use Cassandra for internet back-ends — web, mobile or otherwise as the case might be. July 19, 2016. I spent three weeks in Californi...
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