Welcome!

Linux Containers Authors: Liz McMillan, Elizabeth White, Zakia Bouachraoui, Pat Romanski, Stefana Muller

Related Topics: Containers Expo Blog, Microservices Expo, @CloudExpo

Containers Expo Blog: Article

Data Virtualization in SQL Server

Data access patterns for petabyte enterprise

Data Virtualization is the new name for aconcept that allows enterprises to access their information contained in disparate data sources in a seamless way. Key principles behind Data Virtualization are:

  • Abstraction: Provides location, API, language and storage technology independent access of data
  • Federation: Converges data from multiple disparate data sources
  • Transformation: Enriches the quality and quantity of data on a need basis
  • On-Demand Delivery: Provides the consuming applications the required information on-demand

Ideally data virtualization supports the following QoS (quality of service) for its consumers:

  • Data Security
  • Data Quality
  • Data Governance
  • Query Optimization
  • Caching / Replication

Data Virtualization and Cloud
Data virtualization is not a new concept. Several vendors have implemented it in different forms. However, with the emergence of cloud and XaaS as a Service model, data virtualization gains more importance, as it enables enterprises to serve the information needed to the business in a seamless way, without worrying about disparate data sources and patterns that are typical of large enterprises. The following are the typical use cases of data virtualization in the cloud:

  • Consumers invoke SaaS-based entry points of complex business applications, which in turn utilizes data virtualization techniques to converge disparate data sources and provide the information requested
  • Large workloads from the consumer can be posted to abstracted end points, which in turn are shredded into smaller packets that can be consumed by multiple grids inside cloud to be stored in disparate data sources across the enterprise.

SQLServer Data Virtualization

While we may like to see how SQL Azure fits as a data virtualization server, I feel that SQL Azure may be yet too mature to be positioned as a data virtualization engine. Rather a counterpart on the data center can be positioned as a data virtualization server.

Abstraction
WCF Data Services (formerly known as "ADO.NET Data Services") is a component of the .NET Framework that enables you to create services that use the Open Data Protocol (OData) to expose and consume data over the Web or intranet by using the semantics of REST. By making the WCF Data Services an abstraction layer around SQL Server, much of the data virtualization needs of storage and the API independent access to the enterprise data can be achieved.

Federation
A linked server configuration enables SQL Server to execute commands against OLE DB data sources on remote servers. Linked servers offer the following advantages:

  • Remote server access.
  • The ability to issue distributed queries, updates, commands, and transactions on heterogeneous data sources across the enterprise.
  • The ability to address diverse data sources similarly.

Transformation
Apart from Linked Server, TSQL stored procedures can act as utility transformation pipes that can transform data on the fly. Another feature is CLR stored procedures. The common language runtime (CLR) is the heart of the Microsoft .NET Framework and provides the execution environment for all .NET Framework code. With the CLR hosted in Microsoft SQL Server (called CLR integration), you can author stored procedures, triggers, user-defined functions, user-defined types, and user-defined aggregates in managed code. A CLR stored procedure can also invoke other web services that will provide viable options for transformation in a data virtualization scenario.

On-Demand Delivery
Distributed (across server or instance) partitioned view
: Tables participating in the view reside in different databases that reside on different servers or different instances. These DPV enable the selection of data from respective server only when the condition warrants. Otherwise they provide transparent access to data residing in multiple servers.

Summary
This is not an exercise to provide step-by-step instructions on how to create a data virtualization layer in the enterprise. But rather the concepts behind the data virtualization are quite old and have existed for a while. In fact most of the above features in SQL Server 2008 were in existence from SQL Server 2005 or even earlier.

However, with the explosion of data, large enterprises have to rethink data abstraction and distribution strategies and may need to augment the traditional data integration patterns with data virtualization options.

SQL Server is a popular database whose cloud version, SQL Azure, is already available. It was chosen as an example because we expect these features to be available in the cloud shortly and it provides a path for data virtualization on the cloud.

Also much like OLAP implementations are done within traditional relational databases (ROLAP) versus multi-dimensional servers (MOLAP), we may soon need to decide between utilizing existing relational databases like SQL Server or SQL Azure for implementing data virtualization services within the enterprise or utilizing pure specialized data virtualization products like Composite Software Virtualization Solutions, which require a separate analysis and write up.

More Stories By Srinivasan Sundara Rajan

Highly passionate about utilizing Digital Technologies to enable next generation enterprise. Believes in enterprise transformation through the Natives (Cloud Native & Mobile Native).

IoT & Smart Cities Stories
Moroccanoil®, the global leader in oil-infused beauty, is thrilled to announce the NEW Moroccanoil Color Depositing Masks, a collection of dual-benefit hair masks that deposit pure pigments while providing the treatment benefits of a deep conditioning mask. The collection consists of seven curated shades for commitment-free, beautifully-colored hair that looks and feels healthy.
The textured-hair category is inarguably the hottest in the haircare space today. This has been driven by the proliferation of founder brands started by curly and coily consumers and savvy consumers who increasingly want products specifically for their texture type. This trend is underscored by the latest insights from NaturallyCurly's 2018 TextureTrends report, released today. According to the 2018 TextureTrends Report, more than 80 percent of women with curly and coily hair say they purcha...
The textured-hair category is inarguably the hottest in the haircare space today. This has been driven by the proliferation of founder brands started by curly and coily consumers and savvy consumers who increasingly want products specifically for their texture type. This trend is underscored by the latest insights from NaturallyCurly's 2018 TextureTrends report, released today. According to the 2018 TextureTrends Report, more than 80 percent of women with curly and coily hair say they purcha...
We all love the many benefits of natural plant oils, used as a deap treatment before shampooing, at home or at the beach, but is there an all-in-one solution for everyday intensive nutrition and modern styling?I am passionate about the benefits of natural extracts with tried-and-tested results, which I have used to develop my own brand (lemon for its acid ph, wheat germ for its fortifying action…). I wanted a product which combined caring and styling effects, and which could be used after shampo...
The platform combines the strengths of Singtel's extensive, intelligent network capabilities with Microsoft's cloud expertise to create a unique solution that sets new standards for IoT applications," said Mr Diomedes Kastanis, Head of IoT at Singtel. "Our solution provides speed, transparency and flexibility, paving the way for a more pervasive use of IoT to accelerate enterprises' digitalisation efforts. AI-powered intelligent connectivity over Microsoft Azure will be the fastest connected pat...
There are many examples of disruption in consumer space – Uber disrupting the cab industry, Airbnb disrupting the hospitality industry and so on; but have you wondered who is disrupting support and operations? AISERA helps make businesses and customers successful by offering consumer-like user experience for support and operations. We have built the world’s first AI-driven IT / HR / Cloud / Customer Support and Operations solution.
Codete accelerates their clients growth through technological expertise and experience. Codite team works with organizations to meet the challenges that digitalization presents. Their clients include digital start-ups as well as established enterprises in the IT industry. To stay competitive in a highly innovative IT industry, strong R&D departments and bold spin-off initiatives is a must. Codete Data Science and Software Architects teams help corporate clients to stay up to date with the mod...
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
Druva is the global leader in Cloud Data Protection and Management, delivering the industry's first data management-as-a-service solution that aggregates data from endpoints, servers and cloud applications and leverages the public cloud to offer a single pane of glass to enable data protection, governance and intelligence-dramatically increasing the availability and visibility of business critical information, while reducing the risk, cost and complexity of managing and protecting it. Druva's...
BMC has unmatched experience in IT management, supporting 92 of the Forbes Global 100, and earning recognition as an ITSM Gartner Magic Quadrant Leader for five years running. Our solutions offer speed, agility, and efficiency to tackle business challenges in the areas of service management, automation, operations, and the mainframe.