SQL Server 2016 public preview coming this summer - SQL Server Team Blog. Satya Nadella, CEO of Microsoft, announced SQL Server 2016, an intelligent platform for a mobile first, cloud first world.
The next major release of Microsoft’s flagship database and analytics platform provides breakthrough performance for mission critical applications and deeper insights on your data across on-premises and cloud. Top capabilities for the release include: Always Encrypted - a new capability that protects data at rest and in motion, Stretch Database - new technology that lets you dynamically stretch your warm and cold transactional data to Microsoft Azure, enhancements to our industry-leading in-memory technologies for real-time analytics on top of breakthrough transactional performance and new in-database analytics with R integration.
Always Encrypted Stretch Database Today, in the Ignite keynote, we showcased how you can gain the benefits of hyper-scale cloud in the box with new hybrid scenarios including Stretch Database. Microsoft SQL Server sur Twitter : "Download the #SQLServer 2016 Community Technology Preview 2 today! #TryItTuesday. Try SQL Server 2016 Community Technology Preview 2. BI Presentations (PPTs) SQL Server 2005 support ends April 2016. Are you ready? - SQL Server Team Blog. SQLServerMag sur Twitter : "A quick look at #SQLServer hybrid cloud options. Photo Gallery: SQL Server Hybrid Cloud Options. Without a doubt, SQL Server DBAs and database professionals are among the most reluctant customers to adopt cloud anything, and there are some good reasons for that.
SQL Server is a business critical infrastructure component that most organizations simply won’t trust to the cloud. Those organizations have a significant investment in on-premises hardware and software, plus moving to the cloud involves a number of risks. Microsoft has recognized that most businesses are going to be sticking with their on-premises infrastructure for some time, and it has quite pragmatically come out with several hybrid cloud options that can be a real value to SQL Server customers.
These hybrid cloud options don’t require you to move the primary processing of your SQL Server databases to the cloud. Instead, they add value and provide options to businesses that weren't available before. Why SQL Server runs best on Microsoft Azure - SQL Server Team Blog. Microsoft Azure Infrastructure Services offers many ways to optimize your on-premises data and data platform projects from development and test of new SQL Server applications to migrating existing on-premises SQL Server instances on the latest images of SQL Server to cost effective hybrid scenarios such as database backup and extended business continuity.
So why is Microsoft Azure Infrastructure Services the ideal place to implement such scenarios? The latest Images of SQL Server always available Let’s start with having the latest images of SQL Server as soon as they are made generally available including tuned images for select workloads like an optimized data warehousing image. An example is Microsoft Azure offered SQL Server 2014 CU1 update at the end of April, the day it was made generally available. This image is still pending to be uploaded on many other service providers.
Additional VM Sizes to choose from and more continually being added. SQL Server 2008 MCM Readiness Videos. The Microsoft Certified Masters Program for Microsoft SQL Server provides the most experienced and talented IT Professionals with worldwide validation and recognition of their deep technical expertise in SQL Server. The SQL Server 2008 Microsoft Certified Master program has been re-launched in a more scalable format because of the increased interest and global demand for the program. For more information, see the Microsoft Learning SQL Server 2008 Microsoft Certified Master program site. The following readiness videos provide candidates who want to pursue SQL Server 2008 Microsoft Certified Master certification with an overview of what you need to know to prepare for the SQL Server 2008 Microsoft Certified Master Knowledge Exam and Lab Exam.
Each module establishes the level of depth and breadth required to achieve this certification and also includes an MCM-level deep dive of one or more aspects of the specific subject area. 35+ Use Cases for Choosing Your Next NoSQL Database. NoSQL Databases and Polyglot Persistence: A Curated Guide. NOSQL Patterns. Over the last couple years, we see an emerging data storage mechanism for storing large scale of data.
These storage solution differs quite significantly with the RDBMS model and is also known as the NOSQL. Some of the key players include ...GoogleBigTable, HBase, HypertableAmazonDynamo, Voldemort, Cassendra, RiakRedisCouchDB, MongoDB These solutions has a number of characteristics in commonKey value storeRun on large number of commodity machinesData are partitioned and replicated among these machinesRelax the data consistency requirement. (because the CAP theorem proves that you cannot get Consistency, Availability and Partitioning at the the same time)The aim of this blog is to extract the underlying technologies that these solutions have in common, and get a deeper understanding on the implication to your application's design. I am not intending to compare the features of these solutions, nor to suggest which one to use. API model The basic form of API access is Data replication.
When SSDs Make Sense in Server Applications. In past posts, I’ve talked a lot about Solid State Drives.
I’ve mostly discussed about why they are going to be relevant on the server side and the shortest form of the argument is based on extremely hot online transaction processing systems (OLTP). There are potential applications as reliable boot disks in blade servers and other small data applications but I’m focused on high-scale OLTP in this discussion. OLTP applications random I/O bound workloads such as ecommerce systems, airline reservation systems, and any data intensive application that does lots of small reads and writes, usually on a database where future access patterns are unknown.
When sizing a server for one of these workloads, the key dimension is the number of small random I/Os per second. You need to add memory to increase the memory hit rate and reduce the number I/Os or you need to add disks to support the application-required I/O rates. Data.gov. WP_Quest_AutomatingDBAProcessesSQLServer_FixLink_V1_.pdf (application/pdf Object)
TPC - Homepage. Computing. SQL Server 2005 and 2008 - Backup, Integrity Check and Index Optimization. The SQL Server Conference - SQLBits - Query across the Mersey - 29 Sep 2011 - 1 Oct 2011 - Liverpool. Global Overview.