ETL is a well known term for anyone working with Data Integration or Data Warehousing. It stands for Extract, Transform and Load, and describes a one-way process of extracting data from a source, transforming the data into a new format and then loading the data into a destination. Traditional ETL vendors like Informatica are most effective for extracting and loading data from sources which can be accessed in traditional ways through SQL, XML or program APIs. This is where Web Data Services products like Kapow Web Data Server come in as a next-generation ETL tool. The Kapow Web Data Server allows users to Extract and Load data to and from all the data sources, including those that cannot be accessed in traditional ways, with the only prerequisite being that users are able to access and see the data in a normal Web Browser. ETL best describes working with all the data we work with and see in our Web browsers. This gives us fast and automated access to any data in applications like SalesForce or NetSuite or any of the millions of other web-based applications that exist inside our firewall, at our business partners, with the government, or just out on the public web. Although ETL traditionally describes a one-way process of moving data from point A to point B, Web Data Services provides two-way access to data. This means we can leave the data where it resides best (like in your HR or ERP applications) and get full programmatic access by using a product like the Kapow Web Data Server to “wrap” the applications into standard service APIs like REST, SOAP or .NET. Why is this so important? Well for two reasons. First, with the data explosion around us it becomes impractical to move and synchronize data into one common data repository. Second, the data we need to perform our analysis and drive business decisions will change more and more rapidly. We will need new data sources daily, or at least weekly, to react to the ever changing business needs of the future.
ETL is a well known term for anyone working with Data Integration or Data Warehousing. It stands for Extract, Transform and Load, and describes a one-way process of extracting data from a source, transforming the data into a new format and then loading the data into a destination. Traditional ETL vendors like Informatica are most effective for extracting and loading data from sources which can be accessed in traditional ways through SQL, XML or program APIs. This is where Web Data Services products like Kapow Web Data Server come in as a next-generation ETL tool. The Kapow Web Data Server allows users to Extract and Load data to and from all the data sources, including those that cannot be accessed in traditional ways, with the only prerequisite being that users are able to access and see the data in a normal Web Browser.
ETL best describes working with all the data we work with and see in our Web browsers. This gives us fast and automated access to any data in applications like SalesForce or NetSuite or any of the millions of other web-based applications that exist inside our firewall, at our business partners, with the government, or just out on the public web. Although ETL traditionally describes a one-way process of moving data from point A to point B, Web Data Services provides two-way access to data. This means we can leave the data where it resides best (like in your HR or ERP applications) and get full programmatic access by using a product like the Kapow Web Data Server to “wrap” the applications into standard service APIs like REST, SOAP or .NET.
Why is this so important? Well for two reasons. First, with the data explosion around us it becomes impractical to move and synchronize data into one common data repository. Second, the data we need to perform our analysis and drive business decisions will change more and more rapidly. We will need new data sources daily, or at least weekly, to react to the ever changing business needs of the future.
Microsoft recently released .Net 4.0. It is to the credit of Microsoft, which has made constant improvements in their .Net versions. .Net 4.0 has important improvements in performance, and a stress on doing more parallel processing and multi tasking. This is in contrast to version 3.0 release, which was outstanding with new features like Windows Presentation Framework, Windows Communication Foundation and Workflow. Regardless, it is interesting to see the overall developments, and what all we got from 2.0 to 4.0 as a whole. Migrating applications from .Net version 2.0 to .Net 4.0. is very exciting to use all the latest features, and making the application more secure, user friendly, faster and scalable for our client. Visual Studio does take care of many things, and .Net itself provides high level of backward compatibility, which helps.The key features of .NET 4.0 have made developers to build great applications for clients. Some of them are: • Dynamic lookup – This allows a unified approach to invoking things dynamically. We no longer need to worry about the type of an object when assigning values returned from methods or expressions; the runtime performs the necessary binding for us according to the returned value’s type • Garbage collection – .NET 4.0 provides background garbage collection. • ADO.Net entity framework features – Making life easier for creating a data access application more in terms of an application- centric conceptual model. • Performance and Diagnostics – .NET Framework 4.0 provides improvements in startup time, working set sizes, and faster performance for multi-threaded applications. • Profiling – In .NET 4.0, you can attach profilers to a running process at any point, perform the requested profiling tasks, and then detach. • Reflection – The .NET Framework 4.0 provides the capability to monitor the performance of your application domains using Application Domain resource monitoring. • Improvement in Microsoft AJAX Library – Script loader, JQuery integration, Client data access etc.
Microsoft recently released .Net 4.0. It is to the credit of Microsoft, which has made constant improvements in their .Net versions. .Net 4.0 has important improvements in performance, and a stress on doing more parallel processing and multi tasking. This is in contrast to version 3.0 release, which was outstanding with new features like Windows Presentation Framework, Windows Communication Foundation and Workflow. Regardless, it is interesting to see the overall developments, and what all we got from 2.0 to 4.0 as a whole.
Migrating applications from .Net version 2.0 to .Net 4.0. is very exciting to use all the latest features, and making the application more secure, user friendly, faster and scalable for our client. Visual Studio does take care of many things, and .Net itself provides high level of backward compatibility, which helps.The key features of .NET 4.0 have made developers to build great applications for clients. Some of them are:
• Dynamic lookup – This allows a unified approach to invoking things dynamically. We no longer need to worry about the type of an object when assigning values returned from methods or expressions; the runtime performs the necessary binding for us according to the returned value’s type
• Garbage collection – .NET 4.0 provides background garbage collection.
• ADO.Net entity framework features – Making life easier for creating a data access application more in terms of an application- centric conceptual model.
• Performance and Diagnostics – .NET Framework 4.0 provides improvements in startup time, working set sizes, and faster performance for multi-threaded applications.
• Profiling – In .NET 4.0, you can attach profilers to a running process at any point, perform the requested profiling tasks, and then detach.
• Reflection – The .NET Framework 4.0 provides the capability to monitor the performance of your application domains using Application Domain resource monitoring.
• Improvement in Microsoft AJAX Library – Script loader, JQuery integration, Client data access etc.
Many organizations implement complex custom data management solutions. The solution often require the development of point-to-point integration interfaces. Leveraging highcost packaged ETL software is not always within a customer’s budget. Using open source ETL software enables organisations to deliver these integration capabilities faster and with a higher level of quality to custom-build the capabilities.Integration architects,developers, or project managers within large enterprises often consider using open source ETL technology to support small departmental initiatives. When a new data movement requirement involves at most one or two sources and a single target, these integration specialists recognize that custom code can be inefficient and sloppy. But attempting to acquire software licenses for a packaged ETL tool through a long procurement process can be even worse. Leveraging open source ETL can provide a more expedient solution yet retain good quality and performance. Smaller organizations are more likely to support a homogeneous IT environment with minimal data migration, integration, and transformation requirements, hence less need for high-cost data integration software. The integration projects that do arise typically revolve around early business intelligence (BI) initiatives, which is why JasperSoft - one of the leading open source business intelligence providers — now also offer open source ETL capabilities to complement their BI offerings.There are several open source ETL projects that perform one or more ETL functions. A smaller number of projects attempt to provide a more complete set of capabilities. Among them Talend, which are among the leading contenders for open source ETL. Open source ETL does not yet provide the robust suite of heterogeneous data management capabilities needed to be considered for a cross-enterprise standard for data integration. The capabilities missing today include advanced connectivity, real-time data integration techniques like enterprise information integration (EII) and change data capture (CDC), enterprise-class collaboration, and integrated data quality management and profiling. With that said, many enterprises large and small, as well as ISVs and SIs, are not looking for a large, expensive data integration suite. If your goal is to find a cheap, efficient, and reliable alternative to custom code for your data integration needs, you should seriously consider open source ETL technologies.
All companies, large and small will have vast amounts of useful information. Much of this information is stored for future use and analysis. Technology innovations made companies easier to analyze data in real time by implementing a BI solution. This made possible to analyze so-called unstructured data, that don't easily fit into the tables of a traditional database. The result of all these changes: It's now possible for companies to understand what's happening in their businesses in a detailed way and quickly take actions based on that knowledge.These improvements have come largely as a result of advances in business intelligence software, or BI. Data warehouses where it can easily be reviewed, analyzes the data, and presents reports to decision makers. In the past, the reports had to be painstakingly assembled by tech-savvy business analysts and were typically made available only to top tier people. Business intelligence is also being added to other standard run-the-business applications, such as order fulfillment, logistics, inventory management, and the like. DW Practice provides a range of tools that can address the entire spectrum – all of the people, data, and processes – of decision making. It offers data warehousing; reporting and analysis; performance management products and toolsets that can enhance productivity as well as confident decision making.Success in the business world is about beating the competition. True, some very small enterprises operate effectively without competition, but for most, it’s a jungle out there. Many corporations have already adopted BI and it was the earliest adopters that gained the greatest advantage. Look to DW Practice for Business intelligence solution that delivers high performance, advanced functionality, cross-product integration and unmatched freedom of choice. DW Practice provides companies with the solutions they need to enhance competitive advantage and increase profitability. Having access to more detailed and more accurate information is the benefit if it is used by managers to make the right decisions to drive the business towards achieving its strategic objectives. Benefits of BI: • Automated reports give people new business insight • System helps achieve high accuracy with accurate reports • Information access helps employees enhance customer service • Flexible methodologies and strong experience in leveraging open source technologies to deliver within budgets • Trusted, secure, and reliable to make the right decision • Allows you the flexibility to collaborate within the natural flow of your work • Integration with external system links quickly and easily to business applications to retrieve data ----------------------------------------------------------------------------------------------------------------------------------------------------------------------SOLUTIONS SPANNING DATA WAREHOUSING & BUSINESS INTELLIGENCEOrganizations today are engaged in increasing use of Business Intelligence systems and their underlying Data Warehouses to achieve favorable business results. To satisfy increasing customer demand for more advanced Business Intelligence and Data Warehousing capabilities, enterprise solution vendors are adding sophisticated Business Intelligence technology and features in their products. Business Intelligence has become essential to business success and is helping organizations make more fact-based decisions, promoting sales growth and rapid innovation with shorter product and service life cycles.In terms of market trends, BI technology was ranked fifth in the top 10 list of technology priorities for 2011. Defining an appropriate Information Model, Information overload, Fragmented investments in BI initiatives, Measuring ROI on BI initiatives, possible impact of existing Enterprise Architecture, and selecting the best-fit BI product to address organization’s BI needs are some of the challenges organizations today are facing with respect to their BI needs.Our in-depth BI experience across technologies and implementation methodologies offer many benefits to your organization in optimizing the cost of information management. DW Practice BI service offerings are designed in a way to help organization harness the power of underlying data and select the right BI strategy within the organization. We offer the right mix of consulting and Implementation services in BI:• BI Readiness Assessment• BI Architecture Design
All companies, large and small will have vast amounts of useful information. Much of this information is stored for future use and analysis. Technology innovations made companies easier to analyze data in real time by implementing a BI solution. This made possible to analyze so-called unstructured data, that don't easily fit into the tables of a traditional database. The result of all these changes: It's now possible for companies to understand what's happening in their businesses in a detailed way and quickly take actions based on that knowledge.These improvements have come largely as a result of advances in business intelligence software, or BI. Data warehouses where it can easily be reviewed, analyzes the data, and presents reports to decision makers. In the past, the reports had to be painstakingly assembled by tech-savvy business analysts and were typically made available only to top tier people. Business intelligence is also being added to other standard run-the-business applications, such as order fulfillment, logistics, inventory management, and the like. DW Practice provides a range of tools that can address the entire spectrum – all of the people, data, and processes – of decision making. It offers data warehousing; reporting and analysis; performance management products and toolsets that can enhance productivity as well as confident decision making.Success in the business world is about beating the competition. True, some very small enterprises operate effectively without competition, but for most, it’s a jungle out there. Many corporations have already adopted BI and it was the earliest adopters that gained the greatest advantage. Look to DW Practice for Business intelligence solution that delivers high performance, advanced functionality, cross-product integration and unmatched freedom of choice. DW Practice provides companies with the solutions they need to enhance competitive advantage and increase profitability. Having access to more detailed and more accurate information is the benefit if it is used by managers to make the right decisions to drive the business towards achieving its strategic objectives.
Benefits of BI:
• Automated reports give people new business insight • System helps achieve high accuracy with accurate reports • Information access helps employees enhance customer service • Flexible methodologies and strong experience in leveraging open source technologies to deliver within budgets • Trusted, secure, and reliable to make the right decision • Allows you the flexibility to collaborate within the natural flow of your work • Integration with external system links quickly and easily to business applications to retrieve data
----------------------------------------------------------------------------------------------------------------------------------------------------------------------
SOLUTIONS SPANNING DATA WAREHOUSING & BUSINESS INTELLIGENCE
Organizations today are engaged in increasing use of Business Intelligence systems and their underlying Data Warehouses to achieve favorable business results. To satisfy increasing customer demand for more advanced Business Intelligence and Data Warehousing capabilities, enterprise solution vendors are adding sophisticated Business Intelligence technology and features in their products. Business Intelligence has become essential to business success and is helping organizations make more fact-based decisions, promoting sales growth and rapid innovation with shorter product and service life cycles.
In terms of market trends, BI technology was ranked fifth in the top 10 list of technology priorities for 2011. Defining an appropriate Information Model, Information overload, Fragmented investments in BI initiatives, Measuring ROI on BI initiatives, possible impact of existing Enterprise Architecture, and selecting the best-fit BI product to address organization’s BI needs are some of the challenges organizations today are facing with respect to their BI needs.
Our in-depth BI experience across technologies and implementation methodologies offer many benefits to your organization in optimizing the cost of information management. DW Practice BI service offerings are designed in a way to help organization harness the power of underlying data and select the right BI strategy within the organization. We offer the right mix of consulting and Implementation services in BI:
• BI Readiness Assessment
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Each business firm has unique data that, if used strategically, can offer a competitive advantage. Managing data will help business firms get a better hold on what data they have, where it is, how it is being used, how it should be secured, and how long it should be retained. Data Management is now rapidly becoming a top business priority for growing business environment. So Organizations are now turning to EDM as an effective and efficient way to manage data, both internally and externally to host, track, and secure it. DW Practice observed that the data management market continued to mature as a result of organizations rolling out the respective platforms as a strategic, internal shared service across their organizations. Executives expect this trend to increase as firms realize the benefits of enterprise wide deployments drive economies of scale and streamline operational costs. Therefore, it is essential that decision makers can readily access data and have the tools to interpret, secure, and manage data based on its organizational value. Corporations must strive for an appropriate balance of data availability and data security, based on the sensitivity of the information. It’s important to have a solid strategy and roadmap, and to continue to make incremental steps toward the ultimate goal. Data managed in a cloud-based environment, with its state-of-the-art security management is often more secured than in the company’s own data center. Going forward, DWP will continue to expand and help leading organizations in their pursuit in developing best-in-class data management strategies as they enter the global stage. Many organizations have recognized data management as an essential prerequisite for operating in the new era of global transparency and systemic oversight. Data comparability and business processing automation are the objectives. In order to meet these new operational requirements, firms are working to align their data repositories, adopt standards and extend their internal governance to cover the discipline of EDM.
Each business firm has unique data that, if used strategically, can offer a competitive advantage. Managing data will help business firms get a better hold on what data they have, where it is, how it is being used, how it should be secured, and how long it should be retained. Data Management is now rapidly becoming a top business priority for growing business environment. So Organizations are now turning to EDM as an effective and efficient way to manage data, both internally and externally to host, track, and secure it.
DW Practice observed that the data management market continued to mature as a result of organizations rolling out the respective platforms as a strategic, internal shared service across their organizations. Executives expect this trend to increase as firms realize the benefits of enterprise wide deployments drive economies of scale and streamline operational costs. Therefore, it is essential that decision makers can readily access data and have the tools to interpret, secure, and manage data based on its organizational value. Corporations must strive for an appropriate balance of data availability and data security, based on the sensitivity of the information.
It’s important to have a solid strategy and roadmap, and to continue to make incremental steps toward the ultimate goal. Data managed in a cloud-based environment, with its state-of-the-art security management is often more secured than in the company’s own data center. Going forward, DWP will continue to expand and help leading organizations in their pursuit in developing best-in-class data management strategies as they enter the global stage.
Many organizations have recognized data management as an essential prerequisite for operating in the new era of global transparency and systemic oversight. Data comparability and business processing automation are the objectives. In order to meet these new operational requirements, firms are working to align their data repositories, adopt standards and extend their internal governance to cover the discipline of EDM.
