Publications associées à Microsoft SQL Server

Sharing Data and Work Across Concurrent Analytical Queries

Anastasia Ailamaki, Manoussos Gavriil Athanassoulis, Iraklis Psaroudakis

Today's data deluge enables organizations to collect massive data, and analyze it with an ever-increasing number of concurrent queries. Traditional data warehouses (DW) face a challenging problem in executing this task, due to their query-centric model: ea ...

2013

Accelerating Spatial Range Queries

Anastasia Ailamaki, Thomas Heinis, Farhan Tauheed, Alexandros Stougiannis

It is increasingly common for domain scientists to use computational tools to build and simulate spatial models of the phenomena they are studying. The spatial models they build are more and more detailed as well as dense and are consequently difficult to ...

2013

Same Queries, Different Data: Can we Predict Query Performance?

Anastasia Ailamaki, Miguel Sérgio De Oliveira Branco, Adrian Daniel Popescu

We consider MapReduce workloads that are produced by analytics applications. In contrast to ad hoc query workloads, analytics applications are comprised of fixed data flows that are run over newly arriving data sets or on different portions of an existing ...

2012

Entangled queries: enabling declarative data-driven coordination

Christoph Koch

Many data-driven social and Web applications involve collaboration and coordination. The vision of Declarative Data-Driven Coordination (D3C), proposed in Kot et al. [2010], is to support coordination in the spirit of data management: to make it data-centr ...

Assoc Computing Machinery2011

Tracking Hot-k Items over Web 2.0 Streams

Karl Aberer, Sebastian Michel, Parisa Haghani

The rise of the Web 2.0 has made content publishing easier than ever. Yesterday’s passive consumers are now active users who generate and contribute new data to the web at an immense rate. We consider evaluating data driven aggregation queries which arise ...

2011

MaSM: Efficient Online Updates in Data Warehouses

Anastasia Ailamaki, Manoussos Gavriil Athanassoulis, Radu Ioan Stoica

Data warehouses (DW) have been traditionally optimized for readonly query performance, allowing only offline updates at night, essentially trading off data freshness for performance. The need for 24x7 operations in global markets and the rise of online and ...

2011

Optimal service pricing for a cloud cache

Anastasia Ailamaki, Grégory François, Debabrata Dash, Sofia Kyriakopoulou

Cloud applications that offer data management services are emerging. Such clouds support caching of data in order to provide quality query services. The users can query the cloud data, paying the price for the infrastructure they use. Cloud management nece ...

Institute of Electrical and Electronics Engineers2011

Optimal service pricing for a cloud cache

Anastasia Ailamaki, Grégory François, Debabrata Dash, Sofia Kyriakopoulou

2011

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Microsoft SQL Server

Sharing Data and Work Across Concurrent Analytical Queries

Accelerating Spatial Range Queries

Same Queries, Different Data: Can we Predict Query Performance?

Predictable performance and high query concurrency for data analytics

Entangled queries: enabling declarative data-driven coordination

Entangled Transactions

Tracking Hot-k Items over Web 2.0 Streams

MaSM: Efficient Online Updates in Data Warehouses

Optimal service pricing for a cloud cache

Optimal service pricing for a cloud cache

Graph Chatbot

Chattez avec Graph Search

Same Queries, Different Data: Can we Predict Query Performance?

Sharing Data and Work Across Concurrent Analytical Queries

Optimal service pricing for a cloud cache

Entangled queries: enabling declarative data-driven coordination

Accelerating Spatial Range Queries

Predictable performance and high query concurrency for data analytics

Entangled Transactions

Tracking Hot-k Items over Web 2.0 Streams

MaSM: Efficient Online Updates in Data Warehouses

Optimal service pricing for a cloud cache