SQL Server 2017

Prashanth Jayaram

Top 8 new (or enhanced) SQL Server 2017 DMVs and DMFs for DBAs

January 17, 2018 by

Dynamic management views (DMVs) and dynamic management functions (DMFs) are system views and system functions that return metadata of the system state. On querying the related system objects, database administrators can understand the internals of SQL Server. It allows us to monitor the performance of the SQL Server instance, and diagnose issues with it.

SQL Server 2017 ships with a number of new and enhanced dynamic management views and dynamic management functions that will help DBAs monitor the health and performance of SQL Server instances. A few existing DMV’s such as sys.dm_os_sys_info and sys.dm_db_file_space_usage have been enhanced. Some have also been newly built and available only for SQL Server 2017.

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Sifiso W. Ndlovu

How to plot a SQL Server 2017 graph database using PowerBI

January 9, 2018 by

In the article How to plot a SQL Server 2017 graph database using SQL Server R, I highlighted the lack of built-in graph data visualisation as one major limitation of the SQL Server 2017 graph database feature. In the same article, I went on to suggest making use of SQL Server R as one workaround that could be utilised in order to successfully plot and visualise diagrams out of SQL Server 2017 graph database objects. However, whilst 3rd party graph database vendors such as Neo4j provide an interactive and hyperlinked graph diagrams that allows you to – amongst other things – easily drilldown and identify node-relationships as indicated in Figure 1, the graph plotted using SQL Server R is not very interactive in fact it is simply a static image file as shown in Figure 2.

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Gerald Britton

Get more out of Python on SQL Server 2017

January 5, 2018 by

Introduction

One of the new features announced with SQL Server 2017 is support for the Python language. This is big! In SQL Server 2016, Microsoft announced support for the R language – an open source language ideally suited for statistical analysis and machine learning (ML). Recognizing that many data scientists use Python with ML libraries, the easy-to-learn-hard-to-forget language has now been added to the SQL Server ML suite.

There’s a big difference between R and Python though: R is a domain-specific language while Python is general purpose. That means that the full power of Python is available within SQL Server. This article leaves ML aside for the moment and explores a few of the other possibilities.

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Sifiso W. Ndlovu

How to plot a SQL Server 2017 graph database using SQL Server R

January 3, 2018 by

A few years ago, one common business case I came across in my professional career that required modelling of data into a many-to-many entity relationship type was the representation of a consultants and their projects. Such a business case became a many-to-many entity relationship type because whilst each project can be undertaken by several consultants, consultants can in turn be involved in many different projects. When it came to storing such data in a relational database engine, it meant that we had to make use of bridging tables and also make use of several self-joins to successfully query the data.

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Sifiso W. Ndlovu

How to enable and disable the Identity Cache in SQL Server 2017

December 20, 2017 by

Every data warehouse developer is likely to appreciate the significance of having surrogate keys as part of derived fields in your facts and dimension tables. Surrogate keys make it easy to define constraints, create and maintain indexes, as well as define relationships between tables. This is where the Identity property in SQL Server becomes very useful because it allows us to automatically generate and increment our surrogate key values in data warehouse tables. Unfortunately, the generating and incrementing of surrogate keys in versions of SQL Server prior to SQL Server 2017 was at times challenging and inconsistent by causing huge gaps between identity values. In this article, we take a look at one improvement made in SQL Server 2017 to reduce the creation of gaps between identity values.

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Esat Erkec

How to implement a graph database in SQL Server 2017

December 19, 2017 by

Introduction

Graph database

A graph database is a type of database whose concept is based on nodes and edges.

Graph databases are based on graph theory (a graph is a diagram of points and lines connected to the points). Nodes represent data or entity and edges represent connections between nodes. Edges own properties that can be related to nodes. This capability allows us to show more complex and deep interactions between our data. Now, to explain this interaction we will show it in a simple diagram

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Prashanth Jayaram

How to configure SQL Server 2017 on Linux with mssql-conf and other available tools

December 13, 2017 by

Configuration of any system plays a vital role in its working efficiently. However, configuring a system needs not necessarily be a daunting task. There are several tools that help with the process.

SQL Server on Linux provides a wide range of options for configuration, management and administration.

  1. mssql-conf
  2. Transact-SQL
  3. SQL Server Management Studio
  4. PowerShell
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Prashanth Jayaram

An introduction to a SQL Server 2017 graph database

December 4, 2017 by

The graph database is a critically important new technology for data professionals. As a database technologist always keen to know and understand the latest innovations happening around the cutting edge or next-generation technologies, and after working with traditional relational database systems and NoSQL databases, I feel that the graph database has a significant role to play in the growth of an organization. Not only are traditional database systems generally inefficient in displaying complex hierarchical data, but even NoSQL lags a little. We usually see a degradation in performance with the number of levels of relationship and database size. Also, depending on the relationship, the number of joins may increase as well.

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Prashanth Jayaram

Data Interpolation and Transformation using Python in SQL Server 2017

November 21, 2017 by

As a continuation to my previous article, How to use Python in SQL Server 2017 to obtain advanced data analytics, a little bit of curiosity about Deep Learning with Python integration in SQL Server led me to write this latest article.

With Python running within SQL Server, you can bring the existing data and the code together. Data is accessible directly, so there’s no need to extract query data sets, moving data from storage to the application. It’s a useful approach, especially considering issues of data sovereignty and compliance, since the code runs within the SQL Server security boundaries, triggered by a single call from T-SQL stored procedures.

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Daniel Calbimonte

How to use BULK INSERT to import data locally and in Azure

November 16, 2017 by

Introduction

BULK INSERT is a popular method to import data from a local file to SQL Server. This feature is supported by the moment in SQL Server on-premises.

However, there is a new feature that is supported only in SQL Server 2017 on-premises. This feature allows importing data from a file stored in an Azure storage account to SQL Server on-premises using BULK INSERT. This feature will be supported in Azure SQL versions in the future.

In this article, we will show two examples. The first example will show how to use the traditional BULK INSERT statement from a local CSV file to Azure and the second example will show how to import data from a CSV file stored in Azure to SQL Server on-premises.

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Prashanth Jayaram

The evolution of SQL Server towards Digital Transformation challenges

October 9, 2017 by

In a data-driven world, where every second see a transfer of billions of pieces of data, enterprises are focused on making the access to data fluid and capable of being accessed on demand on a myriad of devices. Leveraging these capabilities to deliver better business results is now the prime focus. Information Technology is no more what it has been. What the web saw during the dot-com boom is what enterprise data is seeing now. Social, mobile, analytics, cloud, Big Data, Internet of Things… They’ve been enabling organizations to scale.

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Prashanth Jayaram

A Quick start Guide to Managing SQL Server 2017 on CentOS/RHEL Using the SSH Protocol

August 8, 2017 by

In one of my previous articles Installation of SQL Server vNext CTP on Linux Distribution CentOS 7, I spoke about the installation of SQL Server 2017 on a Linux computer. Let us now look at another way to showcase that a SQL Server installation and configuration can also be managed using the Secure Shell (SSH) protocol using PuTTY. We shall look at the important details, such as, how to get PuTTY, SQL Server, how to install/uninstall SQL 2017 CTP2.1, Upgrade to SQL 2017 RC1, and install/remove SQL Tools.

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Craig Porteous
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What’s New in Reporting Services (SSRS) 2017

July 26, 2017 by

To further the discussion related to Mohamed’s post on Reporting Services 2016 What’s new in SQL Server 2016 Reporting Services (SSRS), I wanted to cover the new features and functionality we see in Reporting Services 2017 as RC1 was released last week SQL Server 2017 Reporting Services Release Candidate now available, separately from SQL Server 2017 which reached RC1 a few days prior.

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Prashanth Jayaram

How to use Python in SQL Server 2017 to obtain advanced data analytics

June 20, 2017 by

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, made great strides in accelerating the pace of innovation to enable businesses to meet the demands of a dynamic marketplace and harness the incredible power of data—more securely and faster than ever before.

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Prashanth Jayaram

Top SQL string functions in SQL Server 2017

June 8, 2017 by

SQL Server 2017 has been in the talk for its many features that simplify a developer’s life. With the previous versions, developers had to write T-SQL, or user-defined functions using temporary tables, and build complex logic, just for string manipulation. In almost every database I work with, I see many user-defined functions for string manipulation and string aggregation.

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Prashanth Jayaram

Installation of SQL Server vNext CTP on Linux Distribution CentOS 7

May 10, 2017 by

It was a paradigm shift in December 2016, when Microsoft made their SQL Server database available for Linux; it was the first time in history that Microsoft ever designed SQL Server to run on a non-Windows operating system. SQL Server vNext was released for public preview so the user community could test and deploy SQL Server on a Linux operating system. Microsoft took a major step in diversifying the database technology into the non-windows platform for the first time.

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Daniel Calbimonte

SQL Server vNext – Does Microsoft love Linux?

April 21, 2017 by

Introduction

In the 90s and at the beginning of the 21 century, Linux and Windows were decidedly working at cross purposes

However, starting on 2009, Microsoft started to contribute with code in the Linux Kernel. On 2013, Azure supported Virtual Machines in Ubuntu and later came the support to .NET in Linux, Visual Studio for Linux, PowerShell in Linux, support to monitor Linux server to monitor in SCOM (System Center Operation Manager) and now, the support for SQL Server that is on the previous version when this article was published and it is planned to be released this year (2017). Microsoft is a Platinum member of the Linux Foundation now.

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