Technology

  Most organizations today require customized options to enable working with both structured and unstructured data so that the data from different sources can be integrated into one single database. There is a need to migrate databases to advanced platforms like AWS (Amazon Web Service) which is based in the cloud. This ensures that data warehouses, NoSQL databases, relational databases can migrate existing off-cloud databases and replicate concurrent changes while keeping data at source and target in sync. This process is facilitated by the use of an optimized and the right ETL tool for AWS . To migrate data from various sources to a single database and to streamline data management, the most used and common method is using the ETL tool as it guarantees quick data migration, data management, and data movement. The best ETL tool for AWS is ideal for cloud-based platforms like Amazon Web Service. Components of ETL tools Extract (E) – The required data is extracted from Hete...

  SAP is among the leading software development companies in the world, specializing in the management of business processes and developing solutions that facilitate robust data processing and flow of information. System replication is copying the SAP HANA database to another location that might be external or within same environment. The SAP database can consistently synchronize with the primary system during replication. Hence, when selecting a target system to replicate the database, a specific replication mode has to be decided first. SAP data replication can be carried out in four distinct modes. ·         Synchronous In-Memory Mode: This is the default mode of SAP data replication. Once the log is transmitted, the primary node or the source database waits for a confirmation message from the target node or secondary database. Until the message is received the primary node or system does not finalize the transaction. ·   ...

  In today’s data-driven business environment, the overriding concern is data breaches. Organizations try to solve this issue by ramping up data security to protect historical data. Hence, the top database platforms like Microsoft SQL Server and Oracle database have introduced various solutions like timestamps, complex queries, triggers, and data audits. In 2005, SQL Server launched “after date”, “after delete”, and “after insert” features for SQL Server Change Data Capture ( CDC). But that only partially solved the issue. In 2008 SQL Server introduced a modified version of CDC that turned out to be more effective. CDC helps to track and capture all the changes that are made on the SQL Server database tables without extra programming. In the initial stages up to 2016, SQL Server Change Data Capture was active only in the Enterprise Edition but now, it is a universal feature in the SQL Server. CDC monitors the Insert, Update, and Delete operations in the table of a database. Al...

  Replication is the process where data is continually copied electronically from one database in a server or computer to another database in another server or location. This results in a distributed database where users can access necessary data without interfering in the work of others who are accessing the same data or server from the same or a different place. However, the replication process is not simple and can be precisely done only by following the right processes and using the most optimized tools. To make the process a success, the best database replication tool should be used. There are fundamentally three types of such tools and organizations should choose one that matches their need. Snapshot database replication tool – It is a simple process where a “snapshot” of the data in one server is taken and moved to a separate server or a database in the same server. After the first synchronization is completed, the tool refreshes the data in the published tables over f...