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Data Warehousing As A Cloud CandidateOver the past  year, we have started seeing greater support for Cloud from major vendors and Cloud is here to stay. Most of the major IT majors predict a  HYBRID Delivery will be future,  where by the future enterprises needs to look  for a delivery model that comprises of certain work loads  on  Clouds  and some of them continue to be on data centers and then look for a model that will integrate  them together. Before  we go further into  a  blue print of  How Data warehouses  fit  within a HYBRID Cloud environment, we  will see the salient features of  Data warehouses  and how the Cloud tenants  make them a  very viable work load to be  moved to Cloud. A data warehouse  is a subject oriented, integrated, time variant and non volatile collection  of data in support of management's decision making process. Most of the IaaS , PaaS offerings  like Azure platform, Amazon EC2 have built in  provisions for a highly available architecture, with most of the day to day administration  is  abstracted from the  enterprises. The product stack of  data warehousing  environment  is really huge and most organizations will normally find  it difficult to get into  a ideal list of software and platforms and tools  for their BI  platform.
The following are the ideal steps for migrating  a  in-premise  data warehouse  system to a cloud platform, for the sake of case study , Microsoft  Windows Azure platform is chosen  as the target platform. Once a high scalable database infrastructure is setup on SQL Azure platform , the following are some of the methods in which the data from the existing on-premise  data warehouses can be  moved to SQL Azure. Traditional BCP Tool : BCP  is a command line utility that ships with Microsoft SQL Server. The following tools  are also useful, if you existing  Data warehouse is in  Sql Server within the data center. SQL Server Migration Assistant (SSMA for Access v4.2) supports migrating your schema and data from Microsoft Access to SQL Azure. This process will also carry out necessary transformations such as joining of tables, sorting, applying  various filters. The following are typical  options available in Sql Azure platform  to  build a  ETL platform between the On Premise and data warehouse hosted on cloud.  The tools mentioned above on the initial load of the data also holds good  for ETL tool, however they are not repeated  to avoid duplication. The following diagram courtesy  of  Vendor will give a over view of how the SQL Azure Data Sync can be used for ETL purposes. HOLAP : Hybrid OLAP is an attempt to combine some of the features of MOLAP and ROLAP technology. SQL Azure Database does not support all of the features and data types found in SQL Server. At this time  there is no direct support for OLAP and CUBE processing on SQL Azure,  however with the HPC (High Performance Computing ) attributes  using multiple Worker roles,  manually  aggregation of the data can be achieved. It is better to utilize the SaaS based or PaaS based reporting infrastructure rather than custom coding all the reports. SQL Azure Reporting enables developers to enhance their applications by embedding cloud based reports on information stored in a SQL Azure database.  Developers can author reports using familiar SQL Server Reporting Services tools and then use these reports in their applications which may be on-premises or in the cloud. SummaryThe above steps will provide a path to migrate   on premise  Data warehousing  applications to Cloud. The following diagram  indicates a blue print of a  typical Cloud BI Organization on a Microsoft Azure Platform.


The Microsoft BI world is buzzing about Microsoft's recent announcement made at their annual Worldwide Partner Conference (WPC) conference on Mobile BI and Power BI, a new Cloud Business Intelligence offering for Office 365 customers. The new native Mobile BI app will render hosted Office 365 Excel documents, PowerPivot, and Power View. Power BI for Office 365 is a new self-service business intelligence (BI) solution delivered through Excel and Office 365. The current Office 365 Enterprise E Plan offerings already support Excel with embedded Power Pivot and Power View for files up to 10 MB in size. To wrap up, Microsoft Office 365 Mobile BI and Power BI is fantastic news for Microsoft Office 365 customers.
Derek Comingore’s, Mark Kromer's, and Jen Underwood's candid look at SQL Server’s Business Intelligence features. Get the best tech deals, reviews, product advice, competitions, unmissable tech news and more! We specialize in creating bespoke software solutions, web applications, mobile applications and more to bring our clients ideas to reality. Its a 'Reflection' of the company's business knowledge across different domain and its reach in terms of the technologies used. With custom software development approach your organization can achieve greater flexibility and reduce complexity in everyday business processes. Our unique methodology to create simple or complex web infrastructure reduces development cost. We can help your business to provide highly optimized mobile experience for any major mobile platform out there.
Using right tools and right Business Intelligence Methodologies you can surely uncover many hidden facts from your data.
Over years we have developed innovative methodologies to reduce cost of migration projects. The   bigger impact is that,  the path is clearly drawn for the enterprises to adopt Cloud.  With this in mind,  it is time to identify the potential for existing  data center applications  to be migrated to Cloud. Normally we may get large files over the week end or in night time to be processed and loaded. It bulk copies data between SQL Azure (or SQL Server) and a data file in a user-specified format. SQL Server 2008 R2 or later supports the Import and Export Data Wizard and bulk copy for the transfer of data between an instance of Microsoft SQL Server and SQL Azure.
Create CUBES & Other Analytics  StructuresThe multi dimensional nature of  OLAP requires a analytical engine to process the underlying data and create a multi dimensional view and  the success of OLAP has resulted in a large  number of vendors  offering OLAP servers using different architectures. Analysis Services, Replication, and Service Broker are not currently provided as services on the Windows Azure platform. Notably the Office 365 Excel Power View version Silverlight rendering will be replaced with HTML5. On-premise customers will need to continue to look to the broader Microsoft third-party vendor ecosystem to get native Mobile BI applications.
Until recently, business intelligence (BI) software was all on-premise and then only for analysts who knew how to code, or those that had the support of data science and IT staff. You can unsubscribe at any time and we'll never share your details without your permission. Our experience dealing with mobile technologies can fulfill your mobile app creation desire. Cloud computing can not only reduce cost but it also helps you to achieve high availability and scalability on the go.


SaaS for  applications like  data cleansing or address validation and PaaS for reporting like Microsoft SQL Azure reporting will be ideal to solve the tools and platform maze. To migrate the data,   the initial  storage allocations of the existing  database on  the data center needs to be calculated and the same amount  Storage resources will be allocated on the Cloud. To create solutions that store more than 10 GB of data, you must partition large data sets across multiple databases and use parallel queries to access the data. It also delivers higher level business user enablement capabilities such as Business Activity Monitoring and Rules, as well as self-service trading partner community portal and provisioning of business-to-business pipelines.  The following diagram courtesy of the vendor shows how the  Windows Azure Appfabric Integration can be used as a ETL platform.
The long awaited native Mobile BI app that was shown today will only be available for Office 365 customers at an undisclosed date later this summer. With the new Power BI, direct connectivity to on-premise data sources will be supported making it a more serious contender in the Cloud BI space. Project GeoFlow is now called Power Maps and believe it or not, PowerPivot is now officially Power Pivot with a space. But with infrastructure quickly shifting to a cloud model, new cloud-powered BI software is appearing that promises to empower everyone and anyone within an organisation to work with data directly, in real-time. You can use BCP to backup and restore your data on SQL Azure You can import large numbers of new rows into SQL Azure tables or export data out of tables into data files by using the bcp utility. The first version of the native Mobile BI will be available on Windows 8 and Windows RT devices.
However, in the Windows 8 devices it is possible to save and view the Excel documents locally on the device.
Power BI consists of base Excel, Power Pivot, Power Query (formerly project Data Explorer), Power View, and Power Map (formerly project GeoFlow). In the Microsoft related blogs, it is becoming quite clear that Excel is the go-to tool for all things Microsoft BI going forward. Gartner predicts that the BI market will to grow by 8.7% per year until 2018, and with a good chunk of the BI industry now migrating to the cloud, BI's 'cloudification' makes sense. The technical Microsoft BI community has already started the transition to Excel authoring with Power Pivot, Power BI is the next phase in that process. Microsoft says that it is betting on Excel to provide basic BI for everyone and removing specialist tools from the equation. Cloud BI is typically all-you-can-eat, it's self-service, it's pay-as-you go, it's dashboards, reports and data visuals.
That's the theory, but the reality is that putting BI on the cloud is one big experiment that has only just begun. A good chunk of the BI industry is now migrating to the cloudCloud BI: The argument in favourCloud BI is about taking the IT out of data analytics and saving money.
Increasing the breadth of BIDoing BI on the cloud is more efficient, flexible and stable compared to server-based tools, but just as persuasive is the ability to both share critical business insight, and to integrate it.
Doing the analysis close to the data's location means reduced direct analysis query times, while transfers into a data warehouse can be much cheaper to run. The cloud-only curseGenerating reports quickly, and more visually, is great, but cloud-only tools like QuickSight are necessarily limited.



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