1. OLAP의 cube 개념, Druid소개, 트위터 Algebird 소개 


https://speakerdeck.com/vidma/data-cubing-made-simple-with-spark-algebird-and-hbase


다운로드 자료

https://speakerd.s3.amazonaws.com/presentations/55e816adbba64ab6847c5247a93d4ded/data_cubing_with_hbase.pdf





2. Apache 


우버에서 kappa 아키텍처 오픈소르를 내어놓음.


https://www.slideshare.net/databricks/incremental-processing-on-large-analytical-datasets-with-prasanna-rajaperumal-and-vinoth-chandar


Incremental Processing on Large Analytical Datasets with Prasanna Rajaperumal and Vinoth Chandar from Databricks


오랄리 Strata+hadoop 컨퍼런스에서도 발표했음.

https://conferences.oreilly.com/strata/strata-ca/public/schedule/detail/56511






3. 아파치 키린(apache kyrin)


http://www.zdnet.co.kr/news/news_view.asp?artice_id=20141027110506


아파치 키린 2.0에서 apache spark와 연동할 수 있다. 

Apache Kylin: Speed Up Cubing with Apache Spark with Luke Han and Shaofeng Shi from Databricks





4. OLAP for Big Data, Druid 설명이 잘 나옴.


https://www.slideshare.net/freepsw/olap-for-big-data-druid-vs-apache-kylin-vs-apache-lens

OLAP for Big Data (Druid vs Apache Kylin vs Apache Lens) from SANG WON PARK




Posted by '김용환'
,