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In this video, you will learn about the High Availability options in SQL Server 2008: Server Clustering, Database Mirroring, Log Shipping and Peer-to-Peer Replication.
As far as modern architectures go, there are few more complicated than an IoT pipeline. You’ve got to consider an ingestion layer (typically streaming) that may undergo manic load. You’ve got to think of data tagging, storage (probably across multiple engines), archival and access—both internal and external. And all of it has to scale like crazy, be as cost effective as possible, and use automation wherever it can. Oh, and your boss needs the IoT pipeline built by tomorrow. Short timelines? Tight budget? Unrealistic expectations? Unfortunately, these asks are realities for many cloud professionals. AWS knows this and is here to help.
In this informative webinar, you will learn about the popular and overlooked ways organizations and professionals can purchase training to become more resilient.
Learn how to boost your visibility on LinkedIn by listing your skills and certifications and leveraging the courses you’ve taken for professional development. This is especially important to catch the eyes of recruiters and when applying for jobs.
In this video, you'll learn how to utilize a great new feature of SQL Server 2008 called Policy Based Management for Multi-Server Management capabilities.
In this video, you will learn how to a use a new feature of SQL Server 2008 R2 and Office 2010 called PowerPivot for Self-Service Business Intelligence.
In this video, you will learn how to a use a new feature of SQL Server 2008 called Transparent Data Encryption for enhanced security.
In this hour-long webinar, Global Knowledge course director Brian Egler will examine key new features of Microsoft SQL Server 2016 that demonstrate how it provides automatic end-to-end security, seamless generation of business analytics and elastic integration of data in the cloud.
Discover how the enhanced performance and reliability of Amazon Aurora will help AWS customers reduce performance bottlenecks in their applications. The relatively low cost of Aurora will tempt many customers to migrate workloads to this implementation of RDS.
Database Management Systems (DBMS) have been monolithic structures with their own dedicated hardware, storage arrays, and consoles. Amazon Web Services (AWS) realized that while each company can use unique methods of collecting and using data, the actual processes of building the management infrastructure are almost always the same. AWS remedies DBMS problems with its Amazon Relational Database Service (Amazon RDS).