Month: May 2019
Sometime we may need to find out which date some perticular database was restored and by whom? Use following query to find out this information.WITH LastRestores AS ( SELECT DatabaseName = [d].[name] , [d].[create_date] , [d].[compatibility_level] , [d].[collation_name] , r.*, RowNum = ROW_NUMBER() OVER (PARTITION BY d.Name ORDER BY r.[restore_date] DESC) FROM master.sys.databases d LEFT OUTER JOIN msdb.dbo.[restorehistory] r ON r.[destination_database_name] = d.Name ) SELECT * FROM [LastRestores] WHERE [RowNum] = 1
Sometimes with restoring backups in SQL Server Database you may end up by getting this error:
Msg 3117, Level 16, State 1, Line 1
The log or differential backup cannot be restored because no files are ready to rollforward.
Msg 3013, Level 16, State 1, Line 1
RESTORE DATABASE is terminating abnormally.
You may usually receive this error while restoring a Differential Backup, in a situation when you haven’t restored FULL Backup OR you have restored Full Backup without “WITH NORECOVERY” option.
All you need to do is First restore FULL Backup with NORECOVERY option then restore a differential backup with “RECOVERY” option.
A Simple example is given below:
RESTORE DATABASE AdventureWorks FROM DISK = 'D:\AdventureWorks_Full.bak' WITH NORECOVERY RESTORE DATABASE AdventureWorks FROM DISK = 'D:\AdventureWorks_Diff.bak' WITH RECOVERY
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Hands-On Data Science with SQL Server 2017: Perform end-to-end data analysis to gain efficient data insight
by Marek Chmel (Author), Vladimir Muzny (Author)
Find, explore, and extract big data to transform into actionable insights
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SQL Server is a relational database management system that enables you to cover end-to-end data science processes using various inbuilt services and features.
Hands-On Data Science with SQL Server 2017 starts with an overview of data science with SQL to understand the core tasks in data science. You will learn intermediate-to-advanced level concepts to perform analytical tasks on data using SQL Server. The book has a unique approach, covering best practices, tasks, and challenges to test your abilities at the end of each chapter. You will explore the ins and outs of performing various key tasks such as data collection, cleaning, manipulation, aggregations, and filtering techniques. As you make your way through the chapters, you will turn raw data into actionable insights by wrangling and extracting data from databases using T-SQL. You will get to grips with preparing and presenting data in a meaningful way, using Power BI to reveal hidden patterns. In the concluding chapters, you will work with SQL Server integration services to transform data into a useful format and delve into advanced examples covering machine learning concepts such as predictive analytics using real-world examples.
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What you will learn
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Table of Contents
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- Data Visualization
- Data Transformations with Other Tools
- Predictive Model Training and Evaluation
- Making Predictions
- Getting It All Together – A Real-World Example
- Next Steps with Data Science and SQL
Introducing Microsoft SQL Server 2016: Mission-Critical Applications, Deeper Insights, Hyperscale Cloud
by Stacia Varga (Author), Denny Cherry (Author), Joseph D’Antoni