Scalable Atomic Visibility with RAMP Transactions | Peter Bailis
Peter Bailis :: Highly Available, Seldom Consistent Data management, distributed systems, and beyond Scalable Atomic Visibility with RAMP Transactions 07 Apr 2014 We recently wrote a paper that will appear at SIGMOD called Scalable Atomic Visibility with RAMP Transactions. This post introduces RAMP Transactions, explains why you should care, and briefly describes how they work. Executive Summary W
BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data
Queries with Bounded Errors and Bounded Response Times on Very Large Data BlinkDB is a massively parallel, approximate query engine for running interactive SQL queries on large volumes of data. It allows users to trade-off query accuracy for response time, enabling interactive queries over massive data by running queries on data samples and presenting results annotated with meaningful error bars.
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CS 286: Implementation of Database Systems
Tu-Th 1:00-2:30, 405 Soda Hall Minos Garofalakis (minos[at]cs[dot]berkeley[dot]edu) and Raghu Ramakrishnan (ramakris[at]yahoo-inc[dot]com) Office hours: Tuesdays/Thusdays after class, or by appointment Here's an initial list of project ideas Schedule, Lecture Notes, and Suggested Readings Here's an initial, tentative list of topics and readings for the course.
CryptDB
Online applications are vulnerable to theft of sensitive information because adversaries can exploit software bugs to gain access to private data, and because curious or malicious administrators may capture and leak data. CryptDB is a system that provides practical and provable confidentiality in the face of these attacks for applications backed by SQL databases. It works by executing SQL queries
TUM Informatik III: HyPer: Hybrid OLTP&OLAP High-Performance Database System
TU München - Fakultät für Informatik Lehrstuhl III: Datenbanksysteme Summary The HyPer prototype demonstrates that it is indeed possible to build a main-memory database system that achieves world-record transaction processing throughput and best-of-breed OLAP query response times in one system in parallel on the same database state. The two workloads of online transaction processing (OLTP) and onl
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Atomic Commit In SQLite
1. Introduction An important feature of transactional databases like SQLite is "atomic commit". Atomic commit means that either all database changes within a single transaction occur or none of them occur. With atomic commit, it is as if many different writes to different sections of the database file occur instantaneously and simultaneously. Real hardware serializes writes to mass storage, and wr
「GraphDB徹底入門」〜構造や仕組み理解から使いどころ・種々のGraphDBの比較まで幅広く〜
The document discusses graph databases and their properties. Graph databases are structured to store graph-based data by using nodes and edges to represent entities and their relationships. They are well-suited for applications with complex relationships between entities that can be modeled as graphs, such as social networks. Key graph database technologies mentioned include Neo4j, OrientDB, and T
Apache MADlib
Apache MADlib: Big Data Machine Learning in SQL Open source, commercially friendly Apache license For PostgreSQL and Greenplum Database® Powerful machine learning, graph, statistics and analytics for data scientists Getting Started with Apache MADlib using Jupyter Notebooks We have created a library of Jupyter Notebooks to help you get started quickly with MADlib. It includes many commonly used al
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