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 Since the advent of cloud based computing and database management systems, there’s been significant innovation in the way enterprises and businesses leverage the power of software, hardware and infrastructure. Today, there are multi-layered solutions designed to mitigate the complexities and simplify the challenges of yesterday. One such area where disruption has been made is data lake architecture. Traditional data lake architecture were mostly on-premise, and they often required constant administrating, resources and performance optimization. With Snowflake, all of that has been changed for the better. With specialised technology, Snowflake data lake provides a flexible, scalable and robust cloud-based architecture to businesses. Snowflake’s platform can provide the dual benefits of having a data warehouse and a data lake working together in tandem. The biggest advantage of using Snowflake for data lakes in the cloud is having a consolidated view into your data, with fast, real-t

In the modern data-driven business ecosystem more and more enterprises are preferring to migrate databases from traditional systems to the cloud. And one of the most optimized solutions in this regard is to move databases from Oracle to SQLServer Microsoft Azure cloud. Here are some of the main benefits of migrating databases from Oracle to SQL Server. The most important is cost-effectiveness. While Oracle has flat and fixed license fees, Microsoft SQL Server has several editions each with different licensing costs. The Enterprise edition with advanced features is suitable for large enterprises and is quite expensive. The Standard edition, suitable for mid and small-sized businesses, comes with lower costs and fewer features. Finally, the free Express edition with very limited capabilities is ideal for startups and individuals. Hence, businesses can choose an edition that best meets their specific requirements and budget. Another critical benefit of Oracle to SQL Server data base migr

The SAP Extractor is a data management feature of SAP, known as the BW Extractor in the past. It is used to extract SAP data from source systems for storing in downstream data warehouses. The objective of the SAP Extractor is to extract SAP data for feeding SAP BW applications. Moreover, if an SAP client is not using the BW, this option can still be used for integrating data with an SAP Extractor . Once data is extracted with the SAP Extractor, it can be transformed, processed, and combined to help in real-time analytics. This SAP Data can queryData Services, resulting in a quick response depending on a pre-defined workflow as well as batch processing. Since one of the main functions of the software application SAP Data Services is to integrate and transform data, users can develop and execute workflows to extract SAP data from different sources. The SAP Extractor is a program in SAP ERP that can be triggered to extract SAP data for transferring to BW. It can be either a customized Da

In today’s business ecosystem, there is an exponential growth of data at petabyte levels drawn mainly from various sources like applications, various formats, IoT, and social media. Data lakes optimally manage all these factors and a modern one like the SAP data lake help organizations improve performance, lower costs, and gain more access and insights into data. The structure of the SAP data lake is unique among others in this niche. Think of it as a pyramid. The top part contains data that is most critical to the organization and has to be accessed frequently and often immediately. Hence, it is very valuable and is called hot data that is stored in memory. Also, the cost of storage of this data is quite high. In the middle of the SAP data lake is data that in the past would be typically treated as cold storage but not now with the SAP HANA data. This data has lower storage costs as it is not accessed frequently and is operationally not very crucial. At the bottom of the pyramid is t

The SAP Extractor   is a data management feature of SAP used to recover volumes of data in SAP source systems. This data can then be stored in downstream data warehouses or business intelligence systems. SAP customers who do not use BW can use the SAP Extractor  to integrate with SAP BW applications . The SAP Extractoris a program in SAP ERP used to prepare and capture data through an extract structure for transferring to BW. It can be either a delta load process of different types, a standard DataSource, or a customized DataSourcethat details a full load. The SAP Extractor also populates the delta queue with new and changed records when the extractor is a delta type after which the data transfer remote call transfers the data to SAP BW. When you define the load process with an InfoPackage in the scheduler, it is possible to extract data from SAP and transfer  it to the input layer of the SAP Business Warehouse also called the Persistent Staging Area (PSA). A request IDoc to the source

The constant dependence on data-driven systems of businesses today has led to the increased need for computing power and high-capacity data storage. The existing infrastructure generally is inadequate, forcing organizations to look to cloud-based platforms like Microsoft Azure to ramp up operational efficiencies. In this regard, one of the solutions most commonly applied is migrating databases from Oracle to SQL Server. Oracle has provided database management for decades but now the focus is on cloud-based infrastructure. Moreover, the high cost of running Oracle is also a deterrent factor.  What does SQL Server bring to the table that makes it a better option than Oracle? The most important is the operating cost of the database system. That of Oracle is significantly higher than Microsoft SQL Server. Further, costs are kept under control by the SQL Server through compression of data to the extent of 10x, consolidating databases, and virtualizing servers. For modern businesses, prof