quarta-feira, 13 de dezembro de 2017

[From Technet] Bring clarity to complex data with graph databases on SQL Server 2017

SQL Server 2017, in addition to processing relational data, now fully integrates with graph database models, all on the same familiar system. This will bring clarity to the increasing amounts of data businesses generate every day.

What’s the difference between graph and relational databases?

Relational databases, like SQL Server, use foreign keys to manage relationships between entities and tables. Foreign keys adequately query one-to-many relationships; however, as relationships between various data entities become more complex, queries also become more complex and performance may diminish as a result.

In these cases, developers may opt for graph database models to manage complex relationships and enable operational agility. In a graph database, edges are heterogeneous in nature—a single edge can be used to connect different type of nodes to each other. This is not easy to achieve using foreign keys in a relational database. For example, consider a social graph where a person (node) likes another person (edge) or organization (node) or restaurant (node). Here the same ‘likes’ edge is used to connect three different types of nodes and entities to each other—person to person; person to organization; and person to restaurant.

So, how do graph databases work?

Graph databases are comprised of a collection of nodes and edges. Nodes represent a given entity (a noun), while edges (a verb) represent the relationship between the two nodes they connect. For example, pitcher Randy Johnson (node) faces (edge) batter John Kruk (node).

When do you choose a graph database model over a relational model?

While graph and relational schema are capable of achieving the same ends, graph models make it easier to express certain queries. Since it’s easier to manage many-to-many relationships, graph models are better suited for applications where relationships between data entities are the focus. They’re also better for applications that need to traverse connected data sources to generate insights, such as applications with hierarchical data where the queries may involve traversing the hierarchies. Graph databases allow you to express traversal or navigation queries easily, using join-free pattern matching.

The T-SQL Graph extension offers the best of both worlds.

If you’ve already licensed SQL Server 2017, there’s no need to purchase a second system to manage more complex database needs. SQL Server 2017 fully integrates with Transact-SQL (T-SQL) to create and query graph objects. Maintain your existing SQL Server database and benefit from pairing graph capabilities with other SQL Server technologies like columnstore, HA, R services, and others. SQL graph database also supports all the security and compliance features available with SQL Server.

Download and try SQL Server 2017 on the platform of your choice today, and see for yourself.



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terça-feira, 12 de dezembro de 2017

[From Technet] Try mssql-cli, a new interactive command line tool for SQL Server

This post is authored by Alan Yu, Program Manager, SQL Server.

We are excited to announce the Public Preview release of mssql-cli, a new and interactive command line query tool for SQL Server. This open source tool works cross-platform and is a proud member of the dbcli community.

See the install guide to download mssql-cli and get started.

Read on to learn more about mssql-cli features, how to submit feature requests or issues, and our open source collaboration story to bring you this great tool.

mssql-cli auto-completion that is context aware

Features

Mssql-cli is a new and interactive command line tool that provides the following key enhancements over sqlcmd in the Terminal environment:

  • T-SQL IntelliSense
  • Syntax highlighting
  • Pretty formatting for query results, including Vertical Format
  • Multi-line edit mode
  • Configuration file support

Mssql-cli aims to offer an improved interactive command line experience for T-SQL. It is fully open source under the BSD-3 license, and a contribution to the dbcli organization, an open source suite of interactive CLI tools for relational databases including SQL Server, PostgresSQL, and MySQL. The command-line UI is written in Python and the tool leverages the same microservice backend (sqltoolsservice) that powers the VS Code SQL extension, SQL Operations Studio, and the other Python CLI tool we announced earlier, mssql-scripter.

mssql-cli multi-line queries to build readable queries. Also includes syntax highlighting and “smart” auto-completion.

Try it now

In order to install mssql-cli, you must have Python on your machine. Please refer to the installation guide for OS-specific methods to get Python.

Mssql-cli is installed via pip. If you know pip, you can install mssql-cli using command.

$ pip install mssql-cli

This command may need to run as sudo if you are installing to the system site packages. Mssql-cli can be installed using the –user option, which does not require sudo.

$ pip install --user mssql-cli

If you are having installation issues or would like more specific instructions, please see the installation guide.

Once you have mssql-cli installed, connect to your database with the command:

$ mssql-cli -S <server name> -U <user name> -d <database name>

Contact us

We are open to any questions, feedback, or any feature suggestions for future releases, which can be submitted on our GitHub Issues.

Our Open Source Story

Over the years, customers have told us we need to modernize sqlcmd. This feedback got significantly amplified after SQL Server 2017 was released on Linux and macOS (Docker). Customers asked us for richer experiences on the command line including tab completion for T-SQL keywords and database objects and syntax highlighting.

Thus, the SQL Developer Experiences team set out to create a modern version of sqlcmd. As we worked through our scenarios, we discovered an awesome and immensely popular set of open source command line tools for databases on GitHub at http://ift.tt/1HlbGTY maintained by the dbcli organization. The repo contains open source cross-platform CLI tools for databases, which support “smart” auto-completion, syntax highlighting and easy installation. We were particularly impressed with the pgcli and mycli tools, as well as how active and passionate their community was in creating better database cli tools.

We reached out to Amjith Ramanujam, the founder of the dbcli organization, did an in-depth demo, explained what we were trying to do, and explored if mssql-cli could be included in the dbcli family. Simply put, Amjith and the other maintainers of the project were delighted and welcomed us with open arms!

This is a momentous occasion for the SQL Developer Experiences team because it represents the first time our team is contributing source code to an existing open source organization with a commitment to be a good citizen in an existing open source community. It is also an exciting moment to build an awesome tool by collaborating with the OSS community, which we will continue to do in the future.



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segunda-feira, 11 de dezembro de 2017

[From Technet] What’s new in SSMS 17.4: SQL Vulnerability Assessment

This post is authored by Ronit Reger, Senior Program Manager, SQL Data Security and Alan Yu, Program Manager, SQL Server

We are excited to announce the release of SQL Server Management Studio (SSMS) 17.4!

Download SSMS 17.4 and review the Release Notes to get started.

SSMS 17.4 provides support for almost all feature areas on SQL Server 2008 through the latest SQL Server 2017, which is now generally available.

In addition to enhancements and bug fixes, SSMS 17.4 comes with an exciting new feature: SQL Vulnerability Assessment!

What is Vulnerability Assessment?

SQL Vulnerability Assessment (VA) is your one-stop-shop to discover, track and remediate potential database vulnerabilities. It can be used as an excellent preventative security measure, providing visibility into your security state and offering actionable steps to investigate, manage and resolve security issues and enhance your database fortifications. It is designed to be usable even for non-security-experts – getting started and seeing an initial actionable report takes only a few seconds.

Vulnerability Assessment report in SSMS

VA truly enables you to focus your attention on the highest impact actions you can take to proactively improve your database security stature! In addition, if you have data privacy requirements, or need to comply with data protection regulations like the EU GDPR – then VA is your built-in solution to simplify these processes and monitor your database protection status. For dynamic database environments where changes are frequent and hard to track, VA is invaluable in detecting the settings that can leave your database vulnerable to attack.

How does Vulnerability Assessment work?

The VA service runs a scan directly on your SQL database or server. VA employs a knowledge base of rules that flag security vulnerabilities and deviations from best practices, such as misconfigurations, excessive permissions, and exposed sensitive data. The rule base grows and evolves over time, to reflect the latest security best practices recommended by Microsoft.

Results of the assessment include actionable steps to resolve each issue and provide customized remediation scripts where applicable. An assessment report can be customized for each customer environment and tailored to specific requirements. This process is managed by defining a security Baseline for the assessment results, such that only deviations from the custom Baseline are reported.

VA is supported for SQL Server 2012 and later, and can also be run on Azure SQL Database.

Get started now!

To gain the benefits of a Vulnerability Assessment on your database, all you need to do is run a Scan, which will scan your database for vulnerabilities. The scan is lightweight and safe. It takes a few seconds to run and is entirely read-only. It does not make any changes to your database!

To learn more about VA, check out this demo on Channel 9:

Also, take a look at Getting Started with Vulnerability Assessment for more details on how to run and manage your assessment.

Try it out, and let us know what you think!



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quinta-feira, 30 de novembro de 2017

[From Technet] Azure Database Migration Service Preview brings the “lift and shift”

It’s time to get excited—the Azure Database Migration Service Public Preview is here to help you move on-premises SQL Servers to the cloud with near-zero downtime.

There’s never been a better time to start migrating your database to the cloud. Getting ahead in business today means moving to the cloud so that your company can grow and succeed.

The Azure Database Migration Service Preview is the quickest and easiest way for businesses to migrate on-premises databases to the cloud. It’s a fully managed migration service designed to work together with our time-tested migration engines such as the Data Migration Assistant, the Database Experimentation Assistant, and SQL Server Migration Assistant. These tools are tuned to ensure the best migration experience, whether upgrading from legacy versions of Microsoft SQL Server or moving from sources such as Oracle, Sybase, DB2, MySQL, and others. The new service uses a guided, easy-to-implement process to streamline tasks. Regular operations can continue normally during the migration.

Azure Database Migration Service Public Preview uses this functionality to provide rich orchestration capabilities that enable you to organize your databases into project(s) and perform source assessment, schema and data conversion, and validation activities. These activities can be assigned to one or more compute nodes to meet your budget and timeframe goals. With these capabilities, Azure Database Migration Service Public Preview makes it easy to plan migration tasks, run proof-of-concept migrations, author scripting for automation, and ensure that your final production migration to the Microsoft Data Platform is friction-free.

All these capabilities allow you to focus on what’s important for your business and accelerate your Data Estate transformation with the cloud. Now is a great time to find out more about how to make your organization’s database migration as smooth and seamless as possible. To start, check out the Database Migration Guide, which allows you to customize your migration plan based on your organization’s source and target data platforms, along with other key criteria. For a broad scope of information about cloud migration in general, visit the Azure Migration Center.

Most importantly, be sure to take advantage of the Azure Database Migration Service Public Preview today.



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quarta-feira, 29 de novembro de 2017

[From Technet] SQL Server 2017: The world’s first enterprise-class diskless database

This post is authored by Bob Ward, Principal Architect, and Jamie Reding, Senior Program Manager and Performance Architect, Microsoft Database Systems Group.

Perhaps you saw the keynote at the recent PASS 2017 Summit where Microsoft demonstrated the performance of the world’s first enterprise-class “diskless database”. This demonstration showed how Microsoft, Hewlett Packard Enterprise (HPE), and SUSE Linux Enterprise Server partnered together to deliver > 5x performance on analytic queries directly against storage at up to 50 percent of the cost.

Recently HPE published a new world record 1TB TPC-H benchmark result¹ using this configuration with their DL380 Gen10 Server showing 1,009,065 QphH at an incredible price/performance of $0.47 USD per QphH. Performance and price are achieved by combining the power of SQL Server 2017, HPE’s scalable persistent memory, and SUSE Linux Enterprise 12 SP3 Persistent Memory Support.

HPE’s scalable persistent memory is a new innovation which combines standard memory with the persistence of standard storage. It allows database engines like SQL Server 2017 to retrieve data from its data files in a matter of seconds.

To see this technology in action, check out this video. To learn more about this amazing result and technology, read HPE’s blog post and SUSE’s blog post. To learn more about SQL Server on SUSE Linux Enterprise Server, check out SUSE’s SQL Server on Linux website.

SQL Server 2017 is the world leader in TPC-H performance, price, and value and continues to demonstrate that it is one of the fastest databases on the planet, in your cloud or ours.

References



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quinta-feira, 16 de novembro de 2017

[From Technet] SQL Server 2017: A proven leader in database performance

This post was authored by Bob Ward, Principal Architect, and Jamie Reding, Senior Program Manager and Performance Architect, Microsoft Database Systems Group.

SQL Server continues to be a proven leader in database performance for both analytic and OLTP workloads. SQL Server 2017 is fast, built-in with capabilities and features such as Columnstore indexes to accelerate analytic performance and Automatic Tuning and Adaptive Query Processing to keep your database application at peak speed.

Recently, Hewlett Packard Enterprise (HPE) announced a new world record TPC-H 10TB benchmark result¹ using SQL Server 2017 and Windows Server 2016 on their new DL580 Gen10 Server. This new amazing result at 1,479,748 Composite Query-per-Hour (QphH) was achieved at price/performance of .95 USD per QphH continuing to show SQL Server’s leadership in price and performance.

HPE also announced the first TPC-H 3TB result² on a 2-socket system using SQL Server 2017 and Windows Server 2016 with their DL380 Gen Server. They achieved a stellar 1,014,374 QphH on only 2-sockets. These results continue to show how powerful SQL Server can be to handle your analytic query workloads including data warehouses.

SQL Server also is a proven leader for OLTP workloads. Lenovo recently announced a new world-record TPC-E benchmark result³ using SQL Server 2017 and Windows Server 2016. This is now the #1 TPC-E result in both performance at 11,357 tpsE and price/performance at 98.83 USD per tpsE for systems with 4 sockets or more. This result was achieved on Lenovo’s ThinkSystem SR950 server using 4 sockets at 112 cores which represents a 25% performance gain from the previous 4 socket result with 16% more cores.

SQL Server 2017 is the world leader in TPC-E and TPC-H performance, price, and value and continues to demonstrate it is one of the fastest databases on the planet, in your cloud or ours.

References

  • ¹ 10TB TPC-H non-clustered result as of November 9th, 2017.
  • ² 3TB TPC-H non-clustered result as of November 9th, 2017.
  • ³ TPC-E benchmark result as of November 9th, 2017.


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quarta-feira, 15 de novembro de 2017

[From Technet] Announcing SQL Operations Studio for preview

We are excited to announce that SQL Operations Studio is now available in preview. SQL Operations Studio is a free, light-weight tool for modern database development and operations for SQL Server on Windows, Linux and Docker, Azure SQL Database and Azure SQL Data Warehouse on Windows, Mac or Linux machines.

Download SQL Operations Studio to get started.

image

It’s easy to connect to Microsoft SQL Server with SQL Operations Studio and perform routine database operations—overall lowering the learning curve for non-professional database administrators who have responsibility for maintaining their organization’s SQL-based data assets.

As more organizations adopt DevOps for application lifecycle management, developers and other non-professional database administrators find themselves taking responsibility for developing and operating databases. These individuals often do not have time to learn the intricacies of their database environment, making hard to perform even the most routine tasks. Microsoft SQL Operations Studio takes a prescriptive approach to performing routine tasks, allowing users to get tasks done fast while continuing to learn on the job.

image
Users can leverage their favorite command line tools (e.g. Bash, PowerShell, sqlcmd, bcp and ssh) in the integrated terminal window right within the SQL Operations Studio user interface. They can easily generate and execute CREATE and INSERT scripts for SQL database objects to create copies of their database for development or testing purposes. Database developers can increase their productivity with smart T-SQL code snippets and rich graphical experiences to create new databases and database objects (such as tables, views, stored procedures, users, logins, roles, etc.) or to update existing database objects. They also have the ability to create rich customizable dashboards to monitor and quickly detect performance bottlenecks in your SQL databases on-premises or in Azure.

image

SQL Operations Studio comes at an opportune time for users who use clients running macOS or Linux. Many users who use or plan to deploy SQL Server 2017, which became generally available in September 2017, also use Macs as their clients. They will now be able to use a free database development and operations tool from Microsoft that runs natively on their OS of choice.

SQL Operations Studio has been forked from Visual Studio Code with the objective to make it highly extensible. It’s built on an extensible microservices architecture and includes the SQL tools service built on .NET Core. Users will be able to download it from GitHub or Microsoft.

We hope you love this new tool.  It’s received great reviews from the community testing it in private beta and, with your feedback, we can make it even better. Join us in improving SQL Operations Studio by contributing directly at the GitHub repo.

If you have questions or would like to add comments, please use the comments section below. We would love to hear from you!



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[From Technet] SQL Server 2017 Features Bring ‘Choice’ to Developers

Data is everywhere today: in the cloud, on premises, and everywhere in between, tied up in systems of nearly endless complexity. Microsoft solutions allow developers to innovate while also scaling and growing their data infrastructure. In SQL Server 2016 SP1, SQL Server made available a consistent programmable surface layer for all its editions, making it easy to write applications that target any edition of the database.  This year’s release takes it a step further with native support for Linux and Docker.

Microsoft puts the needs of the developer front and center in its data solutions. We have created the most advanced set of tools to radically lower the barriers to getting data – of any type, from anywhere – into the application design and build process. Today with the preview of Microsoft SQL Operations Studio, you can now access, run and manage this data from the system of your choice, on Windows, Linux and Docker.

Committed to choice for both database platform and tools

SQL Server 2017 also makes it easier to drive innovation via a CI/CD pipeline with the support of Docker containers.  Since the Community Technology Preview of SQL Server 2017, there have been over 2 million Docker pulls.  You can use any container orchestration layer, as SQL Server 2017 effectively becomes an application component within your compiled code hosted in the container.  It is light weight and very fast to install – SQL Server on Linux installs in less than a minute.  As a result, you can update the entire software stack with each check-in and deployment. Learn more on DevOps using SQL Server.

There are also SQL Server client drivers for the major languages, including C#, Java, PHP, Node.js, Python, Ruby and C++. Any language that supports ODBC data sources should be able to use the ODBC drivers.  And any language based on the JVM should be able to use the JDBC or ODBC drivers. Choose any of the above languages to trial at our new hands-on labs.

In the spirit of choice, the data tools team today released SQL Operations Studio for public preview (see below). It is a light weight, cross-platform database development and operations tool designed to help non-database professionals with routine tasks necessary to update and maintain a database environment. It’s based on .NET Core and forks from Visual Studio Code, making it extremely extensible and easy to use. Download it, try it out, and please give us feedback via GitHub issues!

DevOpsForDevs_1

R + Python built-in for in-database analytics

The confluence of cloud, data and AI is driving unprecedented change. The ability to manage and manipulate data and to turn it into breakthrough actions and experiences, is foundational to innovation today. We view data as the catalyst to augment the human ingenuity, removing friction and driving innovation. We want to enable people to change and adapt quickly. Most of all, we want to equip today’s innovators and leaders to turn data into the insights and applications that will improve our world.

Developers and data scientists who explore and analyze data also have several new options.  Now that SQL Server 2017 on Windows supports R and Python natively, they can either write R or Python scripts in the text editor of choice, or they can embed their scripts directly into their SQL query in SQL Server Management Studio. See example below:

DevOpsForDevs_2

Or if the analysis calls for highly complex joins, SQL Server 2017 also supports graph-based analytics, making it possible to describe nodes and edges within a SQL query. See example below:

DevOpsForDevs_3

CREATE TABLE Product (ID INTEGER PRIMARY KEY, name VARCHAR(100)) AS NODE;

CREATE TABLE Supplier (ID INTEGER PRIMARY KEY, name VARCHAR(100)) AS NODE;

CREATE TABLE hasInventory AS EDGE;

CREATE TABLE located_at(address varchar(100)) AS EDGE;

 

 

In-memory + performance for blazing-fast applications

And we mentioned, choice does not need to sacrifice performance!  SQL Server 2017 also has some great performance enhancing features, including adaptive query processing (AQP) and automatic plan correction (APC).  AQP uses Adaptive Memory Grants in SQL Server to track and learn how much memory is used by a given query to right-size memory grants.  While APC ensures continuous performance by finding and fixing performance regressions.  Customers have been highly favorable of these features, including dv01 who switched off their OSS stack on AWS to move everything to their stack run on SQL Server.

In-Memory OLTP is the premier technology available in SQL Server and Azure SQL Database for optimizing performance of transaction processing, data ingestion, data load, and transient data scenarios.  Expect to see a 30x-100x increase in performance by keeping tables in-memory and using natively compiled queries.

A couple of steps to consider if you’re going to use In-Memory OLTP:

1. Recommended to set the database to the latest compatibility level, particularly for In-Memory OLTP:

ALTER DATABASE CURRENT
SET COMPATIBILITY_LEVEL = 140;
GO

2. When a transaction involves both a disk-based table and a memory-optimized table, it’s essential that the memory-optimized portion of the transaction operates at the transaction isolation level named SNAPSHOT:

ALTER DATABASE CURRENT SET MEMORY_OPTIMIZED_ELEVATE_TO_SNAPSHOT=ON
GO

3. Before you can create a memory-optimized table, you must first create a memory-optimized FILEGROUP and a container for data files:

ALTER DATABASE AdventureWorks ADD FILEGROUP AdventureWorks_mod CONTAINS memory_optimized_data
GO  
ALTER DATABASE AdventureWorks ADD FILE (NAME='AdventureWorks_mod', FILENAME='c:\var\opt\mssql\data\AdventureWorks_mod') TO FILEGROUP AdventureWorks_mod
GO

Security built-in at every level

Every edition of SQL Server provides a robust set of features designed to keep organizational data separate, secure, and safe. Two of the most interesting security features for developers are Always Encrypted and Row-Level Security.

Always Encrypted is a feature designed to protect sensitive data, such as credit card numbers or national identification numbers (social security numbers), stored in Azure SQL Database or SQL Server databases. Always Encrypted allows customers to encrypt sensitive data inside their applications and never reveal the encryption keys to the Database Engine (SQL Database or SQL Server). The driver encrypts the data in sensitive columns before passing the data to the Database Engine, and automatically rewrites queries so that the semantics to the application are preserved. Similarly, the driver transparently decrypts data, stored in encrypted database columns, contained in query results. See the graphic below:

Row-Level Security (RLS) enables customers to control access to rows in a database table based on the characteristics of the user executing a query (for example, group membership or execution context).

Row-Level Security simplifies the design and coding of security in an application. Row-Level Security enables organizations to implement restrictions on data row access. For example, an organization can ensure that employees can access only those data rows that are pertinent to their department, or restrict a customer’s data access to only the data relevant to their company.

To configure Row-Level Security, follow the steps below:

1. Create user accounts to test Row-Level Security

USE AdventureWorks2014; 
GO
CREATE USER Manager WITHOUT LOGIN; 
CREATE USER SalesPerson280 WITHOUT LOGIN;

2. Grant read access to users on required table

GRANT SELECT ON Sales.SalesOrderHeader TO Manager; 
GRANT SELECT ON Sales.SalesOrderHeader TO SalesPerson280;

3. Create a new schema and inline table-valued function

CREATE SCHEMA Security; 
GO 
CREATE FUNCTION Security.fn_securitypredicate(@SalesPersonID AS int) 
 RETURNS TABLE 
WITH SCHEMABINDING 
AS 
 RETURN SELECT 1 AS fn_securitypredicate_result WHERE ('SalesPerson' + CAST(@SalesPersonId as VARCHAR(16)) = USER_NAME()) 
 OR (USER_NAME() = 'Manager');

4. Create a security policy adding the function as both a filter and block predicate on the table

CREATE SECURITY POLICY SalesFilter 
ADD FILTER PREDICATE Security.fn_securitypredicate(SalesPersonID) 
 ON Sales.SalesOrderHeader, 
ADD BLOCK PREDICATE Security.fn_securitypredicate(SalesPersonID) 
 ON Sales.SalesOrderHeader 
WITH (STATE = ON);

5. Execute the query to the required table as each user to see the result (can also alter the security policy to disable policy)

Thanks for joining us on this journey to SQL Server 2017. We hope you love it! Going forward, we will continue to invest in our cloud-first development model, to ensure that the pace of innovation stays fast, and that we can bring you even more and improved SQL Server features soon.

Here are a few links to get started:



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sexta-feira, 3 de novembro de 2017

[From Technet] Three years in a row – Microsoft is a leader in the ODBMS Magic Quadrant

We’re happy to report that Gartner has positioned Microsoft in the Leaders Quadrant in the 2017 Magic Quadrant for Operational Database Management Systems again this year. This is the third year that Microsoft has been positioned farthest in completeness of vision and ability to execute in the operational database management systems market.

At Microsoft, we’re dedicated to helping both enterprises and individuals realize their full potential. Our industry position in Operational DBMS is due to the unequaled capabilities of SQL Server.

The release of SQL Server 2017 brings the power of SQL Server to Windows, Linux, and Docker containers for the first time ever. Developers are able to build intelligent applications using preferred languages and environments, while enjoying in-memory performance across workloads, mission-critical high availability, and in-database advanced analytics. You can develop once and deploy anywhere in a consistent experience across your datacenter and public cloud.

SQL Server proves itself, year over year, to be the least vulnerable DBMS in the industry. Built for security from the ground up, SQL Server offers customers a layered protection approach that incorporates encryption, authentication, and monitoring and auditing at the disk, database, and application levels. Innovative security technologies like Always Encrypted, for encryption at rest and in motion, help transform global operations for the better.

Perhaps most noteworthy for organizations living in the real world of cost-benefit analyses, SQL Server 2017 remains one of the most cost-competitive DBMS offerings in the enterprise space. In fact, you can get all the robust business capabilities in SQL Server 2017 built-in to a single product SKU, without expensive add-ons — for one great, low total cost of ownership.

But don’t just take our word for it. We encourage you to take the time to read the full Gartner report.

And then take a moment to see how you can get free licenses when you migrate to SQL Server 2017. We’re confident you’ll find the industry-leading database you know and love — now across operating systems and application platforms, on-premises and in the cloud.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner complete document is available now. 



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quarta-feira, 1 de novembro de 2017

[From Technet] SQL Server 2017 and Azure Data Services – The ultimate hybrid data platform

This post was authored by Rohan Kumar, General Manager Database Systems Engineering.

Today at PASS Summit 2017, we are showcasing new advances across SQL Server 2017 and our Azure data services. And we’re demonstrating how these products – both on-premises and in the cloud – come together to form the ultimate hybrid data platform. Our recent announcements, here at PASS Summit and at Ignite in September are great examples of how we’re empowering data professionals – like our community here at PASS Summit 2017 – to do more and achieve more.

With the recent launch of SQL Server 2017, the first database with AI built-in, you can now run your production workloads on Linux, Windows, and Docker. SQL Server 2017 delivers a mission-critical database with everything built-in, on the platform of your choice. And, it can unlock seamless DevOps with Docker Enterprise Edition containers, bringing efficiency and simplicity to your innovation. New features enable analysis of graph data, and advanced analytics using Python and R. We have incorporated your feedback to add features that will make your day-to-day job easier like Adaptive Query Processing and Automatic Plan Correction by finding and fixing performance regressions automatically.

In addition, SQL Server 2017 running on Windows and Linux can take advantage of new leaps forward in hardware. As demonstrated today by Bob Ward, SQL Server 2017 on SUSE Enterprise Linux Server on an HPE ProLiant DL380 Gen 10 Server with scalable persistent memory ran queries more than 5 times faster than a fast SSD drive array at 50% of the cost – making it the world’s first enterprise-grade diskless database server.

These new cross-platform capabilities have made SQL Server accessible to users of Windows, Linux and Mac. At PASS Summit, we are excited to provide a sneak peek at Microsoft SQL Operations Studio. In a few weeks, users will be able to download and evaluate this free, light-weight tool for modern database development and operations on Windows, Mac or Linux machines for SQL Server, Azure SQL Database, and Azure SQL Data Warehouse. Increase your productivity with smart T-SQL code snippets and customizable dashboards to monitor and quickly detect performance bottlenecks in your SQL databases on-premises or in Azure. You’ll be able to leverage your favorite command line tools like Bash, PowerShell, sqlcmd, bcp and ssh in the Integrated Terminal window. Users can contribute directly to SQL Operations Studio via pull requests from the GitHub repository.

For customers who are ready to modernize to the cloud, Azure SQL Database Managed Instance and Azure Database Migration Service, both now in private preview, making it easy to lift-and-shift your on-premises SQL Server workloads with few or no changes. The upcoming Azure Hybrid Benefit for SQL Server enables customers to use on-premises SQL Server licenses for the easiest lift and shift of SQL Server workloads to the fully-managed cloud.

Azure SQL Database is ready for your most mission-critical workloads. Today, we demonstrated the high scale and performance of SQL Database, with the ability to insert 1.4 million rows per second. In addition, we are making it easier than ever to gain insights from data at this scale. We recently made generally available, the ability to run advanced analytics models from Azure Machine Learning super-fast from T-SQL, with new Native T-SQL scoring. And in today’s demos, we show how you can use this new capability to score large amounts of data in real time – at an average of under 20ms per row!

Starting in early 2016, we have been delivering machine-learning based customer value directly into the Azure SQL Database managed service. More recently, we’ve delivered several intelligent capabilities including automatic tuning, performance monitoring and tuning, Adaptive Query Processing, and Threat Detection. These capabilities significantly reduce time requires to manage anywhere from one to thousands of databases and help proactively defend against potential threats. And the preview Vulnerability Assessment feature helps you more easily understand your security and compliance with new initiatives like GDPR.

In addition to sharing the same “everything built-in” SKU model with SQL Server for lower total cost of ownership versus competitors, Azure SQL Database adds value to your database with these built-in administration features. Now it’s easier than ever to move to Azure SQL Database with our new partnership with Attunity. Customers can now take advantage of Attunity Replicate for Microsoft Migrations, a free offer that accelerates migrations from various database systems, including Oracle, Amazon Redshift, and PostgreSQL to the Microsoft Data Platform.

To simplify analytics in the cloud, we’re releasing a public preview of new hybrid data integration capabilities in Azure Data Factory including the ability to run SSIS packages within the service. This means you can run your SSIS data integration workloads in Azure, without changing the packages – for true hybrid data integration across on-premises and cloud. And our SSIS partner technologies like Biml can now work to automate and enhance data integration across on-premises and cloud.

Dramatic scale investments are now in public preview for Azure SQL Data Warehouse. With the new Compute-Optimized Tier, you can get up to 100x the performance and 5x the scale. This new tier builds on the existing optimized for elasticity tier – giving customers the benefit of a fully-managed platform that suits the demands of their workload.

Visualizing data helps users across the organization take informed action. Microsoft delivers Business Intelligence capabilities to help customers model, analyze, and deliver business insights, which can be consumed by business users on mobile devices, on the web or embedded in applications.

Analysis Services helps you transform complex data into semantic models making it easy for business users to understand and analyze large amounts of data across different data sources. The same enterprise-grade SQL Server Analysis Services you’ve used on-premises is also available as a fully managed service in Azure. With today’s announcement of the Scale Out feature for Azure Analysis Services, you can easily set the number of replicas for your Azure Analysis Services instances to support large numbers of concurrent users with blazing fast query performance.

Power BI is a market leading SaaS service that is easy to get started and simple to use, with data connections to many on-premises and cloud data sources. It allows users across roles and industries to go from data to insights in minutes. A recent key addition to the Power BI portfolio is Power BI Report Server. Power BI Report Server enables self-service BI and enterprise reporting, all in one on-premises solution by allowing you to manage your SQL Server Reporting Services (SSRS) reports alongside your Power BI reports. Today we announce the availability of a new version of Power BI Report Server that will enable keeping Power BI reports on-premises that connect to any data! Read more on the Power BI blog.

Microsoft’s guiding principle has been to build the highest performing, most secure, and consistent data platform for all your applications across on-premises and cloud. By joining us on this journey, you can build upon your investments in SQL Server to expand the scope of your role in your organization, from database systems to advanced analytics and artificial intelligence. We look forward to working with you!

If you aren’t with us at PASS Summit 2017 this week, you can still see the announcements and demonstrations by purchasing session recordings to stream or download and watch at home. Sign up at the PASS Summit Website.

If you’d like to learn more about the latest enhancements in the Microsoft Data Platform, visit our data platform webpage, or data platform overview on Azure.



from SQL Server Blog http://ift.tt/2z5qes9