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Prashanth Jayaram
DB Technologist, Author, Blogger, Service Delivery Manager at CTS, Automation Expert, Technet WIKI Ninja, MVB and Powershell Geek My Profile: https://social.technet.microsoft.com/profile/prashanth jayaram/ http://www.sqlshack.com/author/prashanth/ http://codingsight.com/author/prashanthjayaram/ https://www.red-gate.com/simple-talk/author/prashanthjayaram/ http://www.sqlservercentral.com/blogs/powersql-by-prashanth-jayaram/ Connect Me: Twitter @prashantjayaram GMAIL [email protected] The articles are published in: http://www.ssas-info.com/analysis-services-articles/ http://db-pub.com/ http://www.sswug.org/sswugresearch/community/
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Category Archives: SQL Server 2017
What’s new in SQL Server 2017
SQL Server 2017 is considered a major release in the history of the SQL Server life cycle for various reasons. From my personal point of view, SQL Server 2017 is indeed an interesting release. After writing a lot about it … Continue reading
SQL Server : Understanding Backup and Restore operations using Docker Containers
In this article, we will discuss the concepts of database backup-and-restore operations on SQL Server Docker containers. This is certainly the era of containers and it made the buzz in the business, so let us understand the importance of backup-and-restore … Continue reading
SQL Server 2017 on Linux in the Azure portal
SQL Server 2017 now is considered as a hybrid database enterprise solution as it expands its market and is ported to other operating system platforms. It also includes mainstream support for Linux machines. The Cloud makes the life of administrator much easier, now … Continue reading
SQL Server RLS feature and GDPR
Of late, there’s been a lot of noise around the term, GDPR. Chances are, some of us even had to go through learning sessions targeted at IT professionals to learn about what this new standard of data protection means. GDPR … Continue reading
Posted in GDPR, SQL Server 2017
Tagged Always Encrypted, Azure VAult, GDPR, Row Level Security, SQL Server and GDPR, SQL Server RLS, TDE
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Recover Deleted Data from SQL Table Using Transaction Log and LSNs
Introduction At times a user may perform UPDATE operation or DELETE operation in SQL server database without applying the WHERE condition. This is a very common reason for encountering loss of data from SQL Server Tables. As the SQL Server … Continue reading
Posted in SQL, SQL 2016, SQL Server 2017
Tagged Database recovery process, Recover SQL Server data, SQL, SQL Server
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A Quick Start Guide to Managing SQL Server 2017 on CentOS/RHEL Using the SSH Protocol
This article details the following How to get PuTTY and SQL Server How to install/uninstall SQL 2017 CTP2.1 How to Upgrade to SQL 2017 RC1 How to Install/remove SQL Tools In one of my previous articles Installation of SQL Server vNext … Continue reading
How to analyze SQL Server database performance using T-SQL
The performance of a database is the most challenging and critical part of database optimization. The challenge every DBA faces is to identify the most resource-intensive databases. This article talks about the natively available features that can accomplish the task of … Continue reading
Posted in SQL Server 2017, sysfiles, T-SQL
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SQL Server 2017
Top String Functions Machine Learning – Python Integration Resumable Index Operations Happy Learning!!
Posted in SQL Server 2017
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Overview of Resumable Indexes in SQL Server 2017
Managing indexes is a critical component of database maintenance but we often don’t think about the indicators behind the index maintenance operations. SQL Server 2017 (CTP 2.0) introduces a very useful index feature, to mitigate the administration overhead of index maintenance which … Continue reading
How to use Python in SQL Server 2017 to obtain advanced data analytics
On the 19th of April 2017, Microsoft held an online conference called Microsoft Data Amp to showcase how Microsoft’s latest innovations put data, analytics and artificial intelligence at the heart of business transformation. Microsoft has, over the last few years, … Continue reading
Posted in Python, SQL Server 2017
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