Esat Erkec

How to use JSON data in Azure Machine Learning

November 9, 2018 by

Azure Machine Learning (also known as Azure ML) is cloud-based machine learning solution of Microsoft. Microsoft Azure Machine Learning is a fully-managed cloud-based service that provides the ability to create and train predictive analytic solutions. Another advantage of Azure ML is that you can access and easily make changes anywhere in machine learning models with help of Microsoft Azure Machine Learning Studio.

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Rajendra Gupta
SQL Server 2019 columnstore index execution plan

Columnstore Index Enhancements – Index stats update in clone databases

November 9, 2018 by

SQL Server was launched in 1993 on WinNT and it completed its 25-year anniversary recently. SQL Server has come a long way since its first release. At the same time, Microsoft announced a preview version of SQL Server 2019. SQL Server 2019 provides the ability to extend its support to big data, Apache Spark, Hadoop distributed file system (HDFS) and provides enhancements to database performance, security, new features, and enhancements to SQL Server on Linux.

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Prashanth Jayaram

Getting Started with Azure Cosmos DB and MongoDB API

November 7, 2018 by

In the previous article on Azure Cosmos DB, we reviewed NoSQL concepts and how to integrate with the Microsoft Azure platform-as-a-service model using the API. After working as a database engineer for over a decade, I feel that this technology is the future for many organizations for various reasons. I had that in mind as I wrote this article which will provide basic information and help you to get started with MongoDB API integration. The MongoDB API works with BSON documents. BSON is MongoDB’s binary-encoded-version of JSON, and it extends the JSON model with additional language feature support. It’s a great effort from Microsoft to build the enterprise solutions which provide flexibility in manage distributed data along with scalable option.

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Esat Erkec

How to use JSON data in SSRS

November 6, 2018 by

In this article, we will explore the concept of using JSON data in SQL Server Reporting Services (SSRS). This usage concept will include a different approach than the usual methodologies because we will take advantage of SQL Server R service support.

What is JSON?

JSON is an abbreviation for JavaScriptObjectNotation. The main purpose of JSON data was to provide data transfer between server and web applications for JavaScript but today’s JSON is the most popular data interchange format. JSON offers two advantages to us. These are; light-weight text based format easily readable by humans. Currently, JSON is not only used in JavaScript applications, it is also used in all popular software programing languages like JavaScript, C++, C#, Perl, Java, Python, Php etc.

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Prashanth Jayaram

Graph database implementation with Azure Cosmos DB using the API

November 5, 2018 by

In my previous article, I’ve discussed a lot about the Graph database implementation with SQL Server 2017. In this case, we’ll see a walk-through of Graph API integration with Azure Cosmos DB.

Before we jump into the concepts though, let’s take a high-level overview of NoSQL databases. A NoSQL database is designed in such a way that no extra efforts are needed for the database to be distributed because NoSQL Database designed that way.

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Prashanth Jayaram

SQL date format Overview; DateDiff SQL function, DateAdd SQL function and more

October 31, 2018 by

SQL date format functions like the DateDiff SQL function and DateAdd SQL Function are oft used by DBAs but many of us never took the time to fully understand these extremely useful features. For professionals just getting started with SQL Server, these functions are some of the first to become familiar with. So hopefully this article will have a little something for everyone across the skill spectrum

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Rajendra Gupta
Data truncation error

SQL truncate enhancement: Silent Data truncation in SQL Server 2019

October 31, 2018 by

In this article, we’ll take a look into SQL truncate improvement in SQL Server 2019.

Data inserts and updates are a normal and regular task for the developers and database administrators as well as from the application. The source of the data can be in multiple forms as if direct insert using T-SQL, stored procedures, functions, data import from flat files, SSIS packages etc.

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Ahmad Yaseen

SQL Server Execution Plan Operators – Part 4

October 29, 2018 by

In the previous articles of this series, we went through three sets of SQL Server Execution Plan operators that you will meet with while working with the different Execution Plan queries. We described the Table Scan, Clustered Index Scan, Clustered Index Seek, the Non-Clustered Index Seek, RID Lookup, Key Lookup, Sort, Aggregate – Stream Aggregate, Compute Scalar, Concatenation, Assert, Hash Match Join, Hash Match Aggregate , Merge Join and Nested Loops Join Execution Plan operators. In this article, we will dive in the fourth set of these SQL Server Execution Plan operators.

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Ahmad Yaseen

SQL Server Execution Plan Operators – Part 3

October 29, 2018 by

In the previous articles of this series, we discussed a group of SQL Server Execution Plan operators that you will face when studying the SQL Execution Plan of different queries. We showed the Table Scan, Clustered Index Scan, Clustered Index Seek, the Non-Clustered Index Seek, RID Lookup, Key Lookup and Sort Execution Plan operators. In this article, we will discuss the third set of these SQL Execution Plan operators.

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Ahmad Yaseen

SQL Server Execution Plan Operators – Part 2

October 26, 2018 by

In the previous article, we talked about the first set of operators you may encounter when working with SQL Server Execution Plans. We described the Non Clustered Index, Seek Execution Plan operators, Table Scan, Clustered Index Scan, and the Clustered Index Seek. In this article, we will discuss the second set of these SQL Server execution plan operators.

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Ben Richardson

Machine Learning Services – Configuring R Services in SQL Server

October 25, 2018 by

The R language is one of the most popular languages for data science, machine learning services and computational statistics. There are several IDEs that allow seamless R development. Owing to the growing popularity of the R language, R services have been included by Microsoft in SQL Server 2016 onwards. In this article, we will briefly review how we can integrate R with SQL Server 2017. We will see the installation process and will also execute the basic R commands in SQL Server 2017.

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Esat Erkec

Forecast SQL backup size

October 23, 2018 by

This article will cover the process of analyzing and predicting/forecasting the size of a SQL backup as a means to better handle/manage retention of backups.

One of the main database management tenets is “Do not lose your data”. According to this; a database administrator incurs huge responsibilities to protect data. Under these circumstances, taking database backups and archiving SQL backup files is a key task for database administrators. In data protection strategy, taking database backups and archiving backup file processes play the leading role. Especially, backup planning is very significant for disaster recovery scenarios because backup file will be used for restore operation after any failure or data corruption. For this reason, every dba must generate recovery strategies for possible disaster scenarios and ensure that these scenarios can be solvable. At the same time, these backup files must be tested for data integrity; thus process provides to evaluate the recovery time and integrity of backup files. In this Backup and Restore (or Recovery) strategies for SQL Server database article you can find all details about backup and restore strategies.

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