Best Design Practices A

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At 42SQL we follow the “Scale 2 Success” (tm) approach covering Architecture, Availability, Scalability and Accountability. With this we are able to clearly provide a strategy towards building successful scalable enterprise solutions. For more information on how we may be able to help your organization with any performance and scalability needs, please use the Contact Form.

Technology

Best Design Practices - Part A

Building Scalable Enterprise Solutions
Architecture, Performance, Scalability, Migration, Knowledge Transfer

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(c) Copyright 2008 http://42sql.com

If you have made an investment in Open Text Web Solutions (formerly RedDot) Web Content Management products, you’ve undoubtedly experienced performance issues. While every software requires tuning, RedDot is especially susceptible to mis-configuration and poor performance as the out-of-the-box installation comes untuned and ready for Development Environments only. To download the complete white paper please visit: http://www.oshyn.com/landingpages/performance-tuning-open-text

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How do you bring a NoSQL DB into a production Docker Environment? What are key orchestration challenges? How can you design a portable solution that can lift and shift into any environment? What are pro’s and con’s to containerizing your database? By establishing a set of best practices and proper testing you can ensure that your infrastructure design can be resilient in any global environment. The challenge is identifying what works best for your organization. Disruptive testing and partnering with other teams within your company can ensure success when implementing a global application. In this session you will learn from a member of MetLife’s ModSquad innovation team firsthand what challenges MetLife overcame using a NoSQL DB in a Docker environment. You will learn about key decisions impacting orchestration, availability, database replication, and disaster recovery. Additionally, you will understand key differences in classic and swarm mode and how Kubernetes and Docker teaming up will help your Production Design.

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Mastering SSDT with the DataDude This is your chance to hear the real story behind SSDT, directly from the man who built it. SQL Server Data Tools is effectively the 3rd version of the DataDude project, started in 2005 by Gert Drapers. SQL Server Data Tools (SSDT) lets you develop, test, and maintain SQL Server and SQL Azure databases offline on your desktop. SSDT's modern T-SQL development environment supports declarative model-driven development whether working connected or offline, and integrates with Visual Studio's project and application lifecycle management tools to enable team development and source code control support for SQL Server and SQL Azure databases. This master class will get you started using SSDT; provides you with the architectural ins and outs of schema management using SSDT; team oriented database development and leveraging the command line and programmatic interfaces that accompany SSDT for importing, comparing and deploying database schemas. Learn it from the DataDude himself.

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Presenter: Ross Mistry of Microsoft, author and former SQL Server MVP You can now upgrade initiatives across the application lifecycle — all with tools that make it fast and easy. Ross explains about new management capabilities such as Utility Control Point and Data-Tier Applications. This can help you proactively manage database environments efficiently at scale through centralized visibility into resource utilization and streamlined consolidation. You will learn how to: • Reduce Total Cost of Ownership within your SQL Server Infrastructure • Monitor your SQL Server instances • Identify Consolidation Opportunities • Deploy Data-Tier Applications Ross Mistry is an Enterprise SQL Server Architect with Microsoft. As a former SQL Server MVP, he is well known in the worldwide SQL Server community and frequently speaks at technology conferences and user groups around the world, such as PASS, SQL Connections, Europe PASS, and SQL BITS.

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