This book is intended to be gentle toward those new to Asterisk, but we assume that youre familiar with basic Linux administration, networking, and other IT. One way to create a quick test query in Windows via an ODBC connection is using the DQY format. To achieve this, create a DQY file e. Think more Creatively. Stepbystep guide and articles about IT and internet. AWS Service Catalog is announcing that it is now available in new regions Asia Pacific Mumbai, Seoul, US West N. California, and South America Sao Paulo. Provision a Linux Ubuntu Data Science Virtual Machine on Azure. The Data Science Virtual Machine for Linux is an Ubuntu based virtual machine image that makes it easy to get started with deep learning on Azure. Deep learning tools include Caffe A deep learning framework built for speed, expressivity, and modularity. Caffe. 2 A cross platform version of Caffe. Microsoft Cognitive Toolkit A deep learning software toolkit from Microsoft Research. POINTS OF CHRISTIAN THEOLOGY THE PROMISE VERSES TO ALL MANKIND THE UNPARDONABLE SIN EXPLAINED I are with the download seamus heaney poet critic translator that. Connected Systems. Many years ago I was the lead developer for a software development company that was a market leader in the leisure industry. Back in the day, we. This topic contains the release notes and supported features for SQL Server 2017 running on Linux. Release notes are included for the most recent release and several. H2. O An open source big data platform and graphical user interface. Keras A high level neural network API in Python for Theano and Tensor. Flow. MXNet A flexible, efficient deep learning library with many language bindings. NVIDIA DIGITS A graphical system that simplifies common deep learning tasks. Tensor. Flow An open source library for machine intelligence from Google. Theano A Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi dimensional arrays. Torch A scientific computing framework with wide support for machine learning algorithms. CUDA, cu. DNN, and the NVIDIA driver. Many sample Jupyter notebooks. All libraries are the GPU versions, though they also run on the CPU. The Data Science Virtual Machine for Linux also contains popular tools for data science and development activities, including Microsoft R Server Developer Edition with Microsoft R Open. Anaconda Python distribution versions 2. Julia. Pro a curated distribution of Julia language with popular scientific and data analytics libraries. Standalone Spark instance and single node Hadoop HDFS, YarnJupyter. Hub a multiuser Jupyter notebook server supporting R, Python, Py. Spark, Julia kernels. Azure Storage Explorer. Azure command line interface CLI for managing Azure resources. Machine learning tools. Vowpal Wabbit A fast machine learning system supporting techniques such as online, hashing, allreduce, reductions, learning. XGBoost A tool providing fast and accurate boosted tree implementation. Rattle A graphical tool that makes getting started with data analytics and machine learning in R easy. Light. GBM A fast, distributed, high performance gradient boosting framework. Azure SDK in Java, Python, node. Ruby, PHPLibraries in R and Python for use in Azure Machine Learning and other Azure services. Development tools and editors RStudio, Py. Charm, Intelli. J, Emacs, vimDoing data science involves iterating on a sequence of tasks Finding, loading, and pre processing data. Building and testing models. Deploying the models for consumption in intelligent applications. Data scientists use various tools to complete these tasks. It can be quite time consuming to find the appropriate versions of the software, and then to download, compile, and install these versions. The Data Science Virtual Machine for Linux can ease this burden substantially. Install Mysql Odbc Driver Ubuntu Desktop' title='Install Mysql Odbc Driver Ubuntu Desktop' />Use it to jump start your analytics project. It enables you to work on tasks in various languages, including R, Python, SQL, Java, and C. The Azure SDK included in the VM allows you to build your applications by using various services on Linux for the Microsoft cloud platform. In addition, you have access to other languages like Ruby, Perl, PHP, and node. UF2Zeh.png' alt='Install Mysql Odbc Driver Ubuntu Desktop' title='Install Mysql Odbc Driver Ubuntu Desktop' />There are no software charges for this data science VM image. You pay only the Azure hardware usage fees that are assessed based on the size of the virtual machine that you provision. The problem is probably with the ODBC configuration on the Server itself. In other words the connection string to the ODBC source is ok since tested on other. More details on the compute fees can be found on the VM listing page on the Azure Marketplace. Other Versions of the Data Science Virtual Machine. A Cent. OS image is also available, with many of the same tools as the Ubuntu image. A Windows image is available as well. Prerequisites. Before you can create a Data Science Virtual Machine for Linux, you must have an Azure subscription. To obtain one, see Get Azure free trial. Create your Data Science Virtual Machine for Linux. Here are the steps to create an instance of the Data Science Virtual Machine for Linux Navigate to the virtual machine listing on the Azure portal. Click Create at the bottom to bring up the wizard. The following sections provide the inputs for each of the steps in the wizard enumerated on the right of the preceding figure used to create the Microsoft Data Science Virtual Machine. Here are the inputs needed to configure each of these steps a. Basics Name Name of your data science server you are creating. User Name First account sign in ID. Password First account password you can use SSH public key instead of password. Subscription If you have more than one subscription, select the one on which the machine is to be created and billed. You must have resource creation privileges for this subscription. Resource Group You can create a new one or use an existing group. Location Select the data center that is most appropriate. Usually it is the data center that has most of your data, or is closest to your physical location for fastest network access. Size Select one of the server types that meets your functional requirement and cost constraints. Select View All to see more choices of VM sizes. Select an NC class VM for GPU training. Settings Disk Type Choose Premium if you prefer a solid state drive SSD. Otherwise, choose Standard. GPU VMs require a Standard disk. Storage Account You can create a new Azure storage account in your subscription, or use an existing one in the same location that was chosen on the Basics step of the wizard. Other parameters In most cases, you just use the default values. To consider non default values, hover over the informational link for help on the specific fields. Summary Verify that all information you entered is correct. Buy To start the provisioning, click Buy. A link is provided to the terms of the transaction. The VM does not have any additional charges beyond the compute for the server size you chose in the Size step. The provisioning should take about 5 1. The status of the provisioning is displayed on the Azure portal. How to access the Data Science Virtual Machine for Linux. After the VM is created, you can sign in to it by using SSH. Use the account credentials that you created in the Basics section of step 3 for the text shell interface. On Windows, you can download an SSH client tool like Putty. If you prefer a graphical desktop X Windows System, you can use X1. Putty or install the X2. Go client. Note. The X2. Go client performed better than X1. We recommend using the X2. Go client for a graphical desktop interface. Installing and configuring X2. Go client. The Linux VM is already provisioned with X2. Go server and ready to accept client connections. To connect to the Linux VM graphical desktop, complete the following procedure on your client Download and install the X2. Go client for your client platform from X2. Go. Run the X2. Go client, and select New Session. It opens a configuration window with multiple tabs. Enter the following configuration parameters Session tab Host The host name or IP address of your Linux Data Science VM. Login User name on the Linux VM. SSH Port Leave it at 2. Session Type Change the value to XFCE. Currently the Linux VM only supports XFCE desktop. Media tab You can turn off sound support and client printing if you dont need to use them. Shared folders If you want directories from your client machines mounted on the Linux VM, add the client machine directories that you want to share with the VM on this tab. After you sign in to the VM by using either the SSH client or XFCE graphical desktop through the X2. Release notes for SQL Server 2. Linux. The following release notes apply to SQL Server 2. Linux. The topic below is broken into sections for each release. The GA release has detailed supportability and known issues listed. Each Cumulative Update CU release has a link to a support topic describing the CU changes as well as links to the Linux package downloads. Supported platforms. Release history. The following table lists the release history for SQL Server 2. Release. Version. Release date. CU2. CU1. 14. 0. 3. 00. GA1. 4. 0. 1. 00. How to install cumulative updates. If you have configured the Cumulative Update repository, then you will get the latest cumulative update of SQL Server packages when you perform new installations. The Cumulative Update repository is the default for all package installation articles for SQL Server on Linux. For more information about repository configuration, see Source repositories. If you are updating existing SQL Server packages, run the appropriate update command for each package to get the latest cumulative update. For specific update instructions for each package, see the following installation guides Cumulative Update 2 November 2. This is the Cumulative Update 2 CU2 release of SQL Server 2. The SQL Server engine version for this release is 1. For information about the fixes and improvements in this release, see https support. Package details. For manual or offline package installations, you can download the RPM and Debian packages with the information in the following table Cumulative Update 1 October 2. This is the Cumulative Update 1 CU1 release of SQL Server 2. The SQL Server engine version for this release is 1. For information about the fixes and improvements in this release, see https support. Package details. For manual or offline package installations, you can download the RPM and Debian packages with the information in the following table GA October 2. This is the General Availability GA release of SQL Server 2. The SQL Server engine version for this release is 1. Package details. Package details and download locations for the RPM and Debian packages are listed in the following table. Note that you do not need to download these packages directly if you use the steps in the following installation guides Unsupported features and services. The following features and services are not available on Linux at this time. The support of these features will be increasingly enabled over time. Area. Unsupported feature or service. Database engine. Transactional replication Merge replication Stretch DB Polybase Distributed query with 3rd party connections System extended stored procedures XPCMDSHELL, etc. Filetable, FILESTREAM CLR assemblies with the EXTERNALACCESS or UNSAFE permission set Buffer Pool Extension. SQL Server Agent. Subsystems Cmd. Exec, Power. Shell, Queue Reader, SSIS, SSAS, SSRS Alerts Log Reader Agent Change Data Capture Managed Backup. High Availability. Database mirroring. Security. Extensible Key Management AD Authentication for Linked Servers AD Authentication for Availability Groups AGs 3rd party AD tools Centrify, Vintela, PowerbrokerServices. SQL Server Browser SQL Server R services Stream. Insight Analysis Services Reporting Services Data Quality Services Master Data Services. Known issues. The following sections describe known issues with the General Availability GA release of SQL Server 2. Linux. General. Upgrades to the GA release of SQL Server 2. CTP 2. 1 or higher. The length of the hostname where SQL Server is installed needs to be 1. Resolution Change the name in etchostname to something 1. Manually setting the system time backwards in time will cause SQL Server to stop updating the internal system time within SQL Server. Resolution Restart SQL Server. Only single instance installations are supported. Resolution If you want to have more than one instance on a given host, consider using VMs or Docker containers. SQL Server Configuration Manager cant connect to SQL Server on Linux. The default language of the sa login is English. Resolution Change the language of the sa login with the ALTER LOGIN statement. Databases. The master database cannot be moved with the mssql conf utility. Other system databases can be moved with mssql conf. When restoring a database that was backed up on SQL Server on Windows, you must use the WITH MOVE clause in the Transact SQL statement. Distributed transactions requiring the Microsoft Distributed Transaction Coordinator service are not supported on SQL Server running on Linux. SQL Server to SQL Server distributed transactions are supported. Certain algorithms cipher suites for Transport Layer Security TLS do not work properly with SQL Server on Linux. This results in connection failures when attempting to connect to SQL Server, as well as problems establishing connections between replicas in high availability groups. Resolution Modify the mssql. SQL Server on Linux to disable problematic cipher suites, by doing the following Add the following to varoptmssqlmssql. AES2. 56 GCM SHA3. AES1. 28 GCM SHA2. AES2. 56 SHA2. 56 AES1. SHA2. 56 AES2. 56 SHA AES1. SHA ECDHE RSA AES1. GCM SHA2. 56 ECDHE RSA AES2. GCM SHA3. 84 ECDHE ECDSA AES2. GCM SHA3. 84 ECDHE ECDSA AES1. GCM SHA2. 56 ECDHE ECDSA AES2. SHA3. 84 ECDHE ECDSA AES1. SHA2. 56 ECDHE ECDSA AES2. SHA ECDHE ECDSA AES1. SHA ECDHE RSA AES2. SHA3. 84 ECDHE RSA AES1. SHA2. 56 ECDHE RSA AES2. SHA ECDHE RSA AES1. SHA DHE RSA AES2. GCM SHA3. 84 DHE RSA AES1. GCM SHA2. 56 DHE RSA AES2. SHA DHE RSA AES1. SHA DHE DSS AES2. SHA2. 56 DHE DSS AES1. SHA2. 56 DHE DSS AES2. SHA DHE DSS AES1. SHA DHE DSS DES CBC3 SHA NULL SHA2. NULL SHA. Note. In the preceding code, This tells Open. SSL to not use the following cipher suite. Restart SQL Server with the following command. SQL Server 2. 01. Windows that use In memory OLTP cannot be restored on SQL Server 2. Linux. To restore a SQL Server 2. OLTP, first upgrade the databases to SQL Server 2. SQL Server 2. 01. Windows before moving them to SQL Server on Linux via backuprestore or detachattach. User permission ADMINISTER BULK OPERATIONS is not supported on Linux at this time. Networking. Features that involve outbound TCP connections from the sqlservr process, such as linked servers or Availability Groups, might not work if both the following conditions are met The target server is specified as a hostname and not an IP address. The source instance has IPv. Microsoft Sql Server Jdbc Driver Maven Tutorial. To verify if your system has IPv. The output must not contain ipv. The procsysnetipv. A C program that calls socketAFINET6, SOCKSTREAM, IPPROTOIP should succeed the syscall must return an fd 1 and not fail with EAFNOSUPPORT. The exact error depends on the feature. For linked servers, this manifests as a login timeout error. For Availability Groups, the ALTER AVAILABILITY GROUP JOIN DDL on the secondary will fail after 5 minutes with a download configuration timeout error. To work around this issue, do one of the following Use IPs instead of hostnames to specify the target of the TCP connection. Enable IPv. 6 in the kernel by removing ipv. The way to do this depends on the Linux distribution and the bootloader, such as grub. If you do want IPv. This will still prevent the systems network adapter from getting an IPv.