Windows 10: #MSIgnite 2018: Microsoft announces preview of SQL Server 2019

Brink · Sep 24, 2018

Today at Ignite, Microsoft announced the preview of SQL Server 2019. For 25 years, SQL Server has helped enterprises manage all facets of their relational data. In recent releases, SQL Server has gone beyond querying relational data by unifying graph and relational data and bringing machine learning to where the data is with R and Python model training and scoring. As the volume and variety of data increases, customers need to easily integrate and analyze data across all types of data.

Now, for the first time ever, SQL Server 2019 creates a unified data platform with Apache SparkTM and Hadoop Distributed File System (HDFS) packaged together with SQL Server as a single, integrated solution. Through the ability to create big data clusters, SQL Server 2019 delivers an incredible expansion of database management capabilities, further redefining SQL Server beyond a traditional relational database. And as with every release, SQL Server 2019 continues to push the boundaries of security, availability, and performance for every workload with Intelligent Query Processing, data compliance tools and support for persistent memory. With SQL Server 2019, you can take on any data project, from traditional SQL Server workloads like OLTP, Data Warehousing and BI, to AI and advanced analytics over big data.

SQL Server provides a true hybrid platform, with a consistent SQL Server surface area from your data center to public cloud—making it easy to run in the location of your choice. Because SQL Server 2019 big data clusters are deployed as containers on Kubernetes with a built-in management service, customers can get a consistent management and deployment experience on a variety of supported platforms on-premises and in the cloud: OpenShift or Kubernetes on premises, Azure Kubernetes Service (AKS), Azure Stack (on AKS) and OpenShift on Azure. With Azure Hybrid Benefit license portability, you can choose to run SQL Server workloads on-premises or in Azure, at a fraction of the cost of any other cloud provider.

SQL Server – Insights over all your data

SQL Server continues to embrace open source, from SQL Server 2017 support for Linux and containers to SQL Server 2019 now embracing Spark and HDFS to bring you a unified data platform. With SQL Server 2019, all the components needed to perform analytics over your data are built into a managed cluster, which is easy to deploy and it can scale as per your business needs. HDFS, Spark, Knox, Ranger, Livy, all come packaged together with SQL Server and are quickly and easily deployed as Linux containers on Kubernetes. SQL Server simplifies the management of all your enterprise data by removing any barriers that currently exist between structured and unstructured data.

Here’s how we make it easy for you to break down barriers to realized insights across all your data, providing one view of your data across the organization:

Simplify big data analytics for SQL Server users. SQL Server 2019 makes it easier to manage big data environments. It comes with everything you need to create a data lake, including HDFS and Spark provided by Microsoft and analytics tools, all deeply integrated with SQL Server and fully supported by Microsoft. Now, you can run apps, analytics, and AI over structured and unstructured data – using familiar T-SQL queries or people familiar with Spark can use Python, R, Scala, or Java to run Spark jobs for data preparation or analytics – all in the same, integrated cluster.

Give developers, data analysts, and data engineers a single source for all your data – structured and unstructured – using their favorite tools. With SQL Server 2019, data scientists can easily analyze data in SQL Server and HDFS through Spark jobs. Analysts can run advanced analytics over big data using SQL Server Machine Learning Services: train over large datasets in Hadoop and operationalize in SQL Server. Data scientists can use a brand new notebook experience running on the Jupyter notebooks engine in a new extension of Azure Data Studio to interactively perform advanced analysis of data and easily share the analysis with their colleagues.

Break down data silos and deliver one view across all of your data using data virtualization. Starting in SQL Server 2016, PolyBase has enabled you to run a T-SQL query inside SQL Server to pull data from your data lake and return it in a structured format—all without moving or copying the data. Now in SQL Server 2019, we’re expanding that concept of data virtualization to additional data sources, including Oracle, Teradata, MongoDB, PostgreSQL, and others. Using the new PolyBase, you can break down data silos and easily combine data from many sources using virtualization to avoid the time, effort, security risks and duplicate data created by data movement and replication. New elastically scalable “data pools” and “compute pools” make querying virtualized data lighting fast by caching data and distributing query execution across many instances of SQL Server.

“From its inception, the Sloan Digital Sky Survey database has run on SQL Server, and SQL Server also stores object catalogs from large cosmological simulations. We are delighted with the promise of SQL Server 2019 big data clusters, which will allow us to enhance our databases to include all our big data sets. The distributed nature of SQL Server 2019 allows us to expand our efforts to new types of simulations and to the next generation of astronomical surveys with datasets up to 10PB or more, well beyond the limits of our current database solutions.”- Dr. Gerard Lemson, Institute for Data Intensive Engineering and Science, Johns Hopkins University.
Enhanced performance, security, and availability

The SQL Server 2019 relational engine will deliver new and enhanced features in the areas of mission-critical performance, security and compliance, and database availability, as well as additional features for developers, SQL Server on Linux and containers, and general engine enhancements.

Industry-leading performance – The Intelligent Database

The Intelligent Query Processing family of features builds on hands-free performance tuning features of Adaptive Query Processing in SQL Server 2017 including Row mode memory grant feedback, approximate COUNT DISTINCT, Batch mode on rowstore, and table variable deferred compilation.

Persistent memory support is improved in this release with a new, optimized I/O path available for interacting with persistent memory storage.

The Lightweight query profiling infrastructure is now enabled by default to provide per query operator statistics anytime and anywhere you need it.

Advanced security – Confidential Computing

Always Encrypted with secure enclaves extends the client-side encryption technology introduced in SQL Server 2016. Secure enclaves protect sensitive data in a hardware or software-created enclave inside the database, securing it from malware and privileged users while enabling advanced operations on encrypted data.

SQL Data Discovery and Classification is now built into the SQL Server engine with new metadata and auditing support to help with GDPR and other compliance needs.

Certification Management is now easier using SQL Server Configuration Manager.

Mission-critical availability – High uptime

Always On Availability Groups have been enhanced to include automatic redirection of connections to the primary based on read/write intent.

High availability configurations for SQL Server running in containers can be enabled with Always On Availability Groups using Kubernetes.

Resumable online indexes now support create operations and include database scoped defaults.

Developer experience

Enhancements to SQL Graph include match support with T-SQL MERGE and edge constraints.

New UTF-8 support gives customers the ability to reduce SQL Server’s storage footprint for character data.

The new Java language extension will allow you to call a pre-compiled Java program and securely execute Java code on the same server with SQL Server. This reduces the need to move data and improves application performance by bringing your workloads closer to your data.

Machine Learning Services has several enhancements including Windows Failover cluster support, partitioned models, and support for SQL Server on Linux.

Platform of choice

Additional capabilities for SQL Server on Linux include distributed transactions, replication, Polybase, Machine Learning Services, memory notifications, and OpenLDAP support.

Containers have new enhancements including use of the new Microsoft Container Registry with support for RedHat Enterprise Linux images and Always On Availability Groups for Kubernetes.
You can read more about what’s new in SQL Server 2019 in our documentation.

SQL Server 2019 support in Azure Data Studio

Expanded support for more data workloads in SQL Server requires expanded tooling. As Microsoft has worked with users of its data platform we have seen the coming together of previously disparate personas: database administrators, data scientists, data developers, data analysts, and new roles still being defined. These users increasingly want to use the same tools to work together, seamlessly, across on-premises and cloud, using relational and unstructured data, working with OLTP, ETL, analytics, and streaming workloads.

Azure Data Studio offers a modern editor experience with lightning fast IntelliSense, code snippets, source control integration, and an integrated terminal. It is engineered with the data platform user in mind, with built-in charting of query result sets, an integrated notebook, and customizable dashboards. Azure Data Studio currently offers built-in support for SQL Server on-premises and Azure SQL Database, along with preview support for Azure SQL Managed Instance and Azure SQL Data Warehouse.

Azure Data Studio is today shipping a new SQL Server 2019 Preview Extension to add support for select SQL Server 2019 features. The extension offers connectivity and tooling for SQL Server big data clusters, including a preview of the first ever notebook experience in the SQL Server toolset, and a new PolyBase Create External Table wizard that makes accessing data from remote SQL Server and Oracle instances easy and fast.

Getting started

Find additional resources and get started today by visiting the links below:

Preview SQL Server 2019 for Windows, Linux, or Docker.

Sign up for the Early Adoption Program to get advice and support for your project from SQL Server engineering, or to try SQL Server 2019 big data clusters.

Download Azure Data Studio to get started with new SQL Server big data features like data virtualizations and notebooks.

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Source: SQL Server 2019 preview combines SQL Server and Apache Spark to create a unified data platform - SQL Server Blog

:)

Ahhzz · Sep 25, 2018

Office 2019

Only supported on Win10. Sorry, 8.1 users, only 4 years old, gotta go.

https://www.theverge.com/2018/2/1/16960640/microsoft-office-2019-windows-10-support

https://blogs.technet.microsoft.com...-to-office-and-windows-servicing-and-support/

Spoiler Office 2019
Last year at Ignite, we announced Office 2019 – the next perpetual version of Office that includes apps (including Word, Excel, PowerPoint, and Outlook, and Skype for Business) and servers (including Exchange, SharePoint, and Skype for Business). Today we’re pleased to share the following updates:

Office 2019 will ship in H2 of 2018. Previews of the new apps and servers will start shipping in the second quarter of 2018.

Office 2019 apps will be supported on:

Any supported Windows 10 SAC release

Windows 10 Enterprise LTSC 2018

The next LTSC release of Windows Server

The Office 2019 client apps will be released with Click-to-Run installation technology only. We will not provide MSI as a deployment methodology for Office 2019 clients. We will continue to provide MSI for Office Server products.

Cluster Head · Sep 25, 2018

Preview the Microsoft JDBC Driver 6.0 for SQL Server

Preview the Microsoft JDBC Driver 6.0 for SQL Server

We are pleased to announce the second community technical preview release of the Microsoft JDBC Driver 6.0 for SQL Server! The updated driver provides robust data access to Microsoft SQL Server and Microsoft Azure SQL Database for Java-based applications.

What’s new

Always Encrypted

You can now use Always Encrypted with the Microsoft JDBC Driver 6.0 for SQL Server Preview. Always Encrypted is a new SQL Server 2016 and Azure SQL Database security feature to prevent sensitive data from being seen in plaintext in a SQL instance. You can now transparently encrypt the data in the application, so that SQL Server will only handle the encrypted data and not plaintext values. If a SQL instance or host machine is compromised, an attacker can only access ciphertext of your sensitive data. Use the JDBC Driver 6.0 Preview or ADO.NET driver to encrypt plain text data, store the encrypted data in SQL Server 2016 CTP (and above) or SQL Azure Database. Likewise, use the driver to decrypt your encrypted data.

Internationalized Domain Names (IDNs)

IDNs allow your web server to use Unicode characters for server name, enabling support for more languages. Using the new Microsoft JDBC Driver 6.0 for SQL Server Preview, you can convert a Unicode serverName to ASCII compatible encoding (Punycode) when required during a connection.

Table-Valued Parameters (TVPs)

TVP support allows a client application to send parameterized data to the server more efficiently by sending multiple rows to the server with a single call. You can use the JDBC Driver 6.0 Preview to encapsulate rows of data in a client application and send the data to the server in a single parameterized command.

Azure Active Directory (AAD)

AAD authentication is a mechanism of connecting to Azure SQL Database v12 using identities in AAD. Use AAD authentication to centrally manage identities of database users and as an alternative to SQL Server authentication. The JDBC Driver 6.0 CTP allows you to specify your AAD credentials in the JDBC connection string to connect to Azure SQL DB.

AlwaysOn Availability Groups (AG)

The driver now supports transparent connections to AlwaysOn Availability Groups. The driver quickly discovers the current AlwaysOn topology of your server infrastructure and connects to the current active server transparently.

Roadmap

We are committed to continuously update the JDBC driver to bring more feature support for connecting to SQL Server, Azure SQL Database, and Azure SQL DW. Please stay tuned for upcoming releases that will have additional feature support. This applies to our wide range of client drivers including PHP 7.0, Node.js, ODBC, and ADO.NET which are already available.
Click to expand...

Source: https://blogs.technet.microsoft.com/...or-sql-server/

Brink · Sep 25, 2018

SQL Server + PHP – What’s new

PHP is one of the most widely used programming languages for web developers today. The Microsoft PHP Connector for SQL Server is used to connect PHP applications to SQL Server, whether SQL Server is hosted in the cloud, on-premises or provided as a platform as a service.

We recently announced SQL Server v.Next CTP1 on Linux and Windows, which brings the power of SQL Server to both Windows and — for the first time ever — Linux. Developers can now create applications with SQL Server on Linux, Windows, Docker or macOS (via Docker) and then deploy to Linux, Windows, or Docker, on-premises or in the cloud.

As part of this announcement, we have made some improvements to our PHP connector:

SQL Server v.Next Support: You can now use the PHP connectors to connect to SQL Server v.Next CTP1 of SQL Server running anywhere, including SQL Server on Linux, Windows or Docker.

Linux support: We’ve created Linux-native versions of sqlsrv and pdo_sqlsrv modules of the PHP SQL Server Connector. Now you can use the PHP Connector to connect to SQL Server on Ubuntu 15.04, 15.10, 16.04, Red Hat 6 and Red Hat 7.

PHP 7.0 and 7.1 support: We have added support for the latest PHP runtimes for Windows and Linux with our releases on GitHub.

PECL Install Experience for Linux: We have created native PECL packages for Linux. This enables developers to install, upgrade and uninstall the PHP SQL Server connector using the PECL package repository. This is explained in detail in our Getting Started tutorials.

Community input for prioritization: We have also started using surveys on GitHub to guide our prioritization for features and improvements. Check our latest survey and let us know what you think.

Get started today

Check out the PHP connector source code on GitHub and our packages (sqlsrv, pdo_sqlsrv) on PECL. Make pull requests and let us know what you think.

Try the new getting started tutorials that show you how to:

Install SQL Server on Linux or Windows or run on Docker in multiple platforms.

Create a simple app using C#, Java, Node.js, PHP and Python with SQL Server.

Create a simple app using popular web frameworks and Laravel with SQL Server.

Try out some cool SQL Server features that can make your apps shine.

Get the latest v17.0 RC1 versions of SQL Server Management Studio (SSMS) and SQL Server Data Tools (SSDT).

Get the mssql extension for Visual Studio Code and develop apps with SQL Server on Linux/macOS/Windows.

Connect with us

Join the conversation at https://gitter.im/mssqldev.

Sign up to stay informed about new SQL Server on Linux developments.

Learn more

Visit Connect(); to watch overview, security, high-availability and developer tools videos about SQL Server on Linux on demand.

Learn more

Go to the next release of SQL Server webpage to get started with interactive SQL Server on Linux hands-on labs for Linux administrators new to SQL Server and for existing SQL Server database administrators new to Linux.

Visit Connect(); to watch overview, security, high-availability and developer tools videos about SQL Server on Linux on demand.

Other videos in this series

Watch the to see how to get started with SQL Server on Linux in less than a minute.

SQL Server on Linux: use SQL Tools with SQL Server

SQL Server + Node.js: what’s new

SQL Server + Java: what’s new

SQL Server + C#: what’s new

SQL Server + Python: what’s new

Click to expand...

Source: SQL Server + PHP s new | SQL Server Blog

Windows 10: #MSIgnite 2018: Microsoft announces preview of SQL Server 2019

#MSIgnite 2018: Microsoft announces preview of SQL Server 2019

#MSIgnite 2018: Microsoft announces preview of SQL Server 2019

#MSIgnite 2018: Microsoft announces preview of SQL Server 2019

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