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22 Apr 2014

In-Memory OLTP – Common Workload Patterns and Migration Considerations - White paper

In-Memory OLTP is a high performance, memory-optimized engine integrated into SQL Server 2014 and designed for modern hardware trends. In-Memory OLTP allows users to move data into memory resident tables while keeping other data in traditional, disk-based table structures. For performance critical workloads, users can also migrate Transact-SQL code to natively compiled stored procedures. This can provide additional performance gains. This paper aims to help readers understand some of the common architectural patterns where In-Memory OLTP has provided significant benefits. The paper also discusses considerations for migrating applications to In-Memory OLTP

19 Aug 2009

Γιατί το datatype datetime στον SQL Server έχει για βάση την 1/1/1753

Αρκετές φορές μέσα από τα μαθήματα που κάνω για τον SQL Server όταν αναφέρω ότι το datetime έχει σαν βάση την 1/1/1753 οι μαθητές μου με ρωτάνε το λόγο. Ο λόγος είναι ο εξής όπως τον εξηγεί όμορφα ο Tibor Karaszi ...

04 May 2015

SQL Server 2016 datasheet

Σήμερα ο Satya Nadella , CEO της Microsoft στα πλαίσια του keynote του Microsoft Ignite ανακοίνωσε την έλευση του SQL Server 2016. Φυσικά αμέσως υπήρχαν και οι απαραίτητες αναρτήσεις στο msdn / TechNet όπου πλέον υπάρχει το datasheet για την νέα έκδοση και τα περιεχόμενα του είναι τα παρακάτω

02 Apr 2023

Analyze data in a lake database

EMEA Cloud & Modern Workspace Digital Transformation Summit 2023

11 May 2019

Designing a Modern Data Warehouse in Azure

Athens Azure Bootcamp 2019, May 11, 2019

16 Nov 2022

Azure SQL Database External REST Endpoints Integration Public Preview

The ability to call a REST endpoint natively from Azure SQL Database, which was made available via an Early Adopter Preview in May, is now moving to Public Preview. I’m extremely happy that as of today the new system stored procedure sp_invoke_external_rest_endpoint is available to everyone, automatically and transparently: you can use it right away, from any Azure SQL Database that you may already have or that you’ll create in future.

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