pg_analytics: Transforming Postgres into a Fast OLAP Database - ParadeDBpg_analytics: Transforming Postgres into a Fast OLAP Database
An in-process SQL OLAP database management system
DuckDB is a fast in-process analytical database DuckDB supports a feature-rich SQL dialect complemented with deep integrations into client APIs. DuckDB v1.0.0 was released in June 2024. Installation Documentation -- Get the top-3 busiest train stations SELECT station_name, count(*) AS num_services FROM train_services GROUP BY ALL ORDER BY num_services DESC LIMIT 3;
最近のストリーム処理事情振り返り
2. @kimutansk 自己紹介 •Kimura, Sotaro(@kimutansk) – ドワンゴでデータエンジニアやってます •データ分析基盤の管理 •データ分析に必要な各種ETLパイプライン構築 •生データを集計したデータマートの設計構築 •データフォーマット、内容等の設計 etc... – 好きな技術分野 •ストリーム処理（主にJVM上） •分散システム •実装言語：Scala, Go – 好きなOSSプロダクト •Apache Kafka •Apache Beam •Apache NiFi etc... 3. @kimutansk アジェンダ •ストリーム処理とは何か？ •ストリーム処理システム構成の変遷 – バッチと並列でデータ処理を実行 – 単体でデータ処理を実行 – データ処理パイプラインとして抽象化し、実行 •最近語られているストリーム処理の概念 – バッチ処理とス
Manasi Vartak, MIT CSAIL
PhD Student, Database Group, MIT CSAIL Interests: Systems to Support Machine Learning, Data Visualization, Novel tools for Data Analytics Email: mvartak _at_ csail.mit.edu Twitter: @DataCereal I am a PhD student in the MIT Database Group where I work on novel systems to support machine learning and data visualization. Most recently, I have worked on ModelDB, a system to manage ML models, and SeeDB
15-799 :: Special Topics in Database Systems (Fall 2013)
Big Ideas. Big Money. Big Data. This is a seminar course that will explore the new technologies and research at the foundation of the "Big Data" movement. We will discuss topics related to the problem of managing and using large-scale data sets, including high-velocity transaction processing, stream processing, real time analytics, and high-volume data processing. The discussions will focus on sev
Joseph M. Hellerstein
Jim Gray Professor of Computer Science EECS Computer Science Division UC Berkeley <lastname>@cs.berkeley.edu http://www.linkedin.com/in/joehellerstein Research My research focuses broadly on data-oriented systems and the way they drive computing. This spans topics in database systems, distributed computing, data visualization, machine learning and programming languages. More information on current
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WideTable: An Accelerator for Analytic Data Processing
http://pages.cs.wisc.edu/~jignesh/publ/WideTable.pdf
http://www.vldb.org/pvldb/vol11/p746-yin.pdf
Bottom-Up Computation of Sparse and Iceberg CUBES Kevin Beyer Raghu Ramakrishnan Computer Sciences Department Computer Sciences Department University of Wisconsin - Madison University. of Wisconsin - Madison beyer@cs.wisc.edu raghu@cs.wisc.edu Abstract W
https://cs.stanford.edu/people/chrismre/papers/bismarck-full.pdf