Next-generation sequencing (NGS) technology has led the life sciences into the big data era. Today, sequencing genomes takes little time and cost, but results in terabytes of data to be stored and analysed. Biologists are often exposed to excessively time consuming and error-prone data management and analysis hurdles. In this paper, we propose a da...
Den globala uppvärmningen sätter många samhällsviktiga funktioner på prov. Inte minst förmågan att upptäcka och bekämpa bränder. Ett viktigt steg för att kunna göra detta på ett effektivt sätt är att kunna lagra den data som samlas in och bearbeta denna så att den effektivt kan användas av godtyckligt program. För att kunna göra detta krävs ett dat...
Import 22/07/2015 / Cílem bakalářské práce je prozkoumat nadstandardní vlastnosti databázového systému PostgreSQL nad rámec standardu SQL, respektive konkurečních databázových systémů a následně pro ně najít situace, ve kterých se dají vhodně uplatnit. V práci jsou nejprve postupně vyčteny možnosti uživatelské rozšířitelnosti PostgreSQL databáze a ...
Published in World Wide Web
There has been a lot of research on MapReduce for big data analytics. This new class of systems sacrifices DBMS functionality such as query languages, schemas, or indexes in order to maximize scalability and parallelism. However, as high functionality of the DBMS is considered important for big data analytics as well, there have been a lot of effor...
Query optimizers depend heavily on statistics representing column distributions to create efficient query plans. In many cases, though, statistics are outdated or non-existent, and the process of refreshing statistics is very expensive, especially for ad-hoc workloads on ever bigger data. This results in suboptimal plans that severely hurt performa...
Published in Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data
Push-based database management system (DBMS) is a new type of data processing software that streams large volume of data to concurrent query operators. The high data rate of such systems requires large computing power provided by the query engine. In our previous work, we built a push-based DBMS named G-SDMS to harness the unrivaled computational c...
Published in Datenbank-Spektrum
Nowadays, the performance of processors is primarily bound by a fixed energy budget, the power wall. This forces hardware vendors to optimize processors for specific tasks, which leads to an increasingly heterogeneous hardware landscape. Although efficient algorithms for modern processors such as GPUs are heavily investigated, we also need to prepa...
