Many sports tend to be biassed towards one sex or another. For example, football is a sport dominated by men and does not become much more masculine than rugby! On the other side of the fence, netball definitely falls into the women's category. However, there are some sports that share gender gracefully, which appeal to both men and women. Reddit live streaming Golf is undoubtedly one of these sports and has no age limits. Spread across courses in the UK you will find some unlikely groups of people bound by their love for this great outdoor sport. Some will play every day, while others will only play on the weekends, perhaps as a way to relieve the stress of a difficult week at the office. No golfer tends to join a club and membership packages vary widely in price. Most golf clubs simply offer standard packages with the assumption that one size fits all and offers a bit of flexibility. However, some offer more realistic membership packages, considering how much you will be playing...
Tableau has announced the acquisition of HyPer, in-memory, high performance database system designed for simultaneous, high performance OLTP and OLAP processing.
Hyper high-performance database system will be integrated into Tableau’s product offerings and bring a host of new capabilities to Tableau customers such as faster analysis of large data sizes, richer analytics, enhanced data integration and data transformation as well as support for semi-structured and unstructured data.
Tableau is highly optimized and works quite fast in many applications but in applications where you need to read large volumes of data, like hundreds of millions or billions of rows, it can get dramatically slow (yes there are some illustrations of Tableau with large datasets but they are very isolated, single report demos and in a real life dashboard things can get pretty slow if you need to reaf more than 100 million rows). There are some other tools also available in the market with native Tableau data connections. Most notable and famous of these is EXASOL in-memory analytic database management software.
Like Tableau, HyPer grew out of a research project. started in 2010 by professors Dr. Thomas Neumann and Dr. Alfons Kemper, chair of at the Technical University of Munich (TUM) Database Group. Four of the project’s Ph.D. students, Tobias Muehlbauer, Wolf Roediger, Viktor Leis and Jan Finis, will join the Tableau family, focused on integrating Hyper into Tableau products.[1]
Here is a detailed definition of Tableau's new HyPer in the project website :
"HyPer is a main-memory-based relational DBMS for mixed OLTP and OLAP workloads. It is a so-called all-in-one New-SQL database system that entirely deviates from classical disk-based DBMS architectures by introducing many innovative ideas including machine code generation for data-centric query processing and multi-version concurrency control, leading to exceptional performance. HyPer’s OLTP throughput is comparable or superior to dedicated transaction processing systems and its OLAP performance matches the best query processing engines — however, HyPer achieves this OLTP and OLAP performance simultaneously on the same database state. Current research focuses on extending HyPer’s functionality beyond OLTP and OLAP processing to exploratory workflows that are deeply integrated into the database kernel by utilizing HyPer’s pioneering compilation infrastructure."[2]
[1] - Welcome, Hyper team, to the Tableau community!
[2] - http://hyper-db.com/
Hyper high-performance database system will be integrated into Tableau’s product offerings and bring a host of new capabilities to Tableau customers such as faster analysis of large data sizes, richer analytics, enhanced data integration and data transformation as well as support for semi-structured and unstructured data.
Tableau is highly optimized and works quite fast in many applications but in applications where you need to read large volumes of data, like hundreds of millions or billions of rows, it can get dramatically slow (yes there are some illustrations of Tableau with large datasets but they are very isolated, single report demos and in a real life dashboard things can get pretty slow if you need to reaf more than 100 million rows). There are some other tools also available in the market with native Tableau data connections. Most notable and famous of these is EXASOL in-memory analytic database management software.
Like Tableau, HyPer grew out of a research project. started in 2010 by professors Dr. Thomas Neumann and Dr. Alfons Kemper, chair of at the Technical University of Munich (TUM) Database Group. Four of the project’s Ph.D. students, Tobias Muehlbauer, Wolf Roediger, Viktor Leis and Jan Finis, will join the Tableau family, focused on integrating Hyper into Tableau products.[1]
"HyPer is a main-memory-based relational DBMS for mixed OLTP and OLAP workloads. It is a so-called all-in-one New-SQL database system that entirely deviates from classical disk-based DBMS architectures by introducing many innovative ideas including machine code generation for data-centric query processing and multi-version concurrency control, leading to exceptional performance. HyPer’s OLTP throughput is comparable or superior to dedicated transaction processing systems and its OLAP performance matches the best query processing engines — however, HyPer achieves this OLTP and OLAP performance simultaneously on the same database state. Current research focuses on extending HyPer’s functionality beyond OLTP and OLAP processing to exploratory workflows that are deeply integrated into the database kernel by utilizing HyPer’s pioneering compilation infrastructure."[2]
[1] - Welcome, Hyper team, to the Tableau community!
[2] - http://hyper-db.com/
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